# Google Interview University

Version original: [Inglés](../README.md)

## ¿Qué es?

Es mi guía de estudio en varios meses para ir de desarrollador web (Autodidacta, sin grado en Ciencias de la computación) 
a ingeniero de software en Google. 

![Coding at the whiteboard - from HBO's Silicon Valley](https://dng5l3qzreal6.cloudfront.net/2016/Aug/coding_board_small-1470866369118.jpg)

Esta larga lista, ha sido extraída y ampliada de las **Google's coaching notes**, asi que estas son las cosas que 
tienes que saber.
Hay algunas cosas extra que he añadido al final, que pueden aparecer en una entrevista, o ser de ayuda al solucionar 
problemas. Extraje muchas de ellas de "[Get that job at Google](http://steve-yegge.blogspot.com/2008/03/get-that-job-at-google.html)" 
de Steve Yegge, y a veces aparecen, palabra por palabra en las notas de coaching de Google.

He reducido lo que tienes que saber de lo que Yegge recomienda. He alterado los requerimientos de Yegge acorde con la 
información que me facilitó me contacto en Google. Está orientado para **nuevos ingenieros de software** or para aquellos 
que cambian el desarrollo de software o web, por ingeniería de software (donde se necesita conocimiento en ciencias de 
computadores). Si tienes muchos años de experiencia y gran parte es experiencia en ingeniería de software, espera que 
la entrevista sea más dura. [Lee más aquí](https://googleyasheck.com/what-you-need-to-know-for-your-google-interview-and-what-you-dont/).

Si tienes muchos años de experiencia en desarrollo de software o web, ten en cuenta que Google ve la ingenieria del software 
como algo diferente al desarrollo web, y ellos requiren conocimiento en ciencias de computadores.

Si lo que quieres es ser ingeniero de escalabilidad / seguridad o ingeniero de sistemas, estudia más de la lista opcional (redes, seguridad).

---

## Tabla de Contenidos

- [¿Qué es?](#qué-es)
- [¿Por qué usarlo?](#por-qué-usarlo)
- [Cómo usarlo](#cómo-usarlo)
- [Envuelvete en la googlemanía](#envuelvete-en-la-googlemanía)
- [¿Cómo conseguí el trabajo en Google?](#como-consegui-el-trabajo-en-google)
- [Sigue el progreso conmigo](#sigue-el-progreso-conmigo)
- [No pienses que no eres suficientemente inteligente](#no-pienses-que-no-eres-suficientemente-inteligente)
- [Acerca de Google](#acerca-de-google)
- [Acerca de los recursos en vídeo](#acerca-de-los-recursos-en-video)
- [Prepárate para la entrevista](#preparate-para-la-entrevista)
- [Escoge un lenguaje para la entrevista](#escoge-un-lenguaje-para-la-entrevista)
- [Lista de libros](#lista-de-libros)
- [Antes de que Comiences](#antes-de-que-comiences)
- [Lo que no Verás Cubierto](#lo-que-no-verás-cubierto)
- [Prerequisite Knowledge](#prerequisite-knowledge)
- [The Daily Plan](#the-daily-plan)
- [Algorithmic complexity / Big-O / Asymptotic analysis](#algorithmic-complexity--big-o--asymptotic-analysis)
- [Data Structures](#data-structures)
    - [Arrays](#arrays)
    - [Linked Lists](#linked-lists)
    - [Stack](#stack)
    - [Queue](#queue)
    - [Hash table](#hash-table)
- [Para saber más](#para-saber-mas)
    - [Búsqueda binaria](#busqueda-binaria)
    - [Operaciones bit a bit](#operaciones-bit-a-bit)
- [Trees](#trees)
    - [Trees - Notes & Background](#trees---notes--background)
    - [Binary search trees: BSTs](#binary-search-trees-bsts)
    - [Heap / Priority Queue / Binary Heap](#heap--priority-queue--binary-heap)
    - balanced search trees (general concept, not details)
    - traversals: preorder, inorder, postorder, BFS, DFS
- [Sorting](#sorting)
    - selection
    - insertion
    - heapsort
    - quicksort
    - merge sort
- [Graphs](#graphs)
    - directed
    - undirected
    - adjacency matrix
    - adjacency list
    - traversals: BFS, DFS
- [Even More Knowledge](#even-more-knowledge)
    - [Recursion](#recursion)
    - [Object-Oriented Programming](#object-oriented-programming)
    - [Design Patterns](#design-patterns)
    - [Combinatorics (n choose k) & Probability](#combinatorics-n-choose-k--probability)
    - [NP, NP-Complete and Approximation Algorithms](#np-np-complete-and-approximation-algorithms)
    - [Caches](#caches)
    - [Processes and Threads](#processes-and-threads)
    - [Papers](#papers)
    - [Testing](#testing)
    - [Scheduling](#scheduling)
    - [Implement system routines](#implement-system-routines)
    - [String searching & manipulations](#string-searching--manipulations)
- [System Design, Scalability, Data Handling](#system-design-scalability-data-handling) (if you have 4+ years experience)
- [Final Review](#final-review)
- [Coding Question Practice](#coding-question-practice)
- [Coding exercises/challenges](#coding-exerciseschallenges)
- [Once you're closer to the interview](#once-youre-closer-to-the-interview)
- [Your Resume](#your-resume)
- [Be thinking of for when the interview comes](#be-thinking-of-for-when-the-interview-comes)
- [Have questions for the interviewer](#have-questions-for-the-interviewer)
- [Once You've Got The Job](#once-youve-got-the-job)

---------------- Everything below this point is optional ----------------

- [Additional Books](#additional-books)
- [Additional Learning](#additional-learning)
    - [Dynamic Programming](#dynamic-programming)
    - [Compilers](#compilers)
    - [Floating Point Numbers](#floating-point-numbers)
    - [Unicode](#unicode)
    - [Endianness](#endianness)
    - [Emacs and vi(m)](#emacs-and-vim)
    - [Unix command line tools](#unix-command-line-tools)
    - [Information theory](#information-theory)
    - [Parity & Hamming Code](#parity--hamming-code)
    - [Entropy](#entropy)
    - [Cryptography](#cryptography)
    - [Compression](#compression)
    - [Networking](#networking) (if you have networking experience or want to be a systems engineer, expect questions)
    - [Computer Security](#computer-security)
    - [Garbage collection](#garbage-collection)
    - [Parallel Programming](#parallel-programming)
    - [Messaging, Serialization, and Queueing Systems](#messaging-serialization-and-queueing-systems)
    - [Fast Fourier Transform](#fast-fourier-transform)
    - [Bloom Filter](#bloom-filter)
    - [HyperLogLog](#hyperloglog)
    - [Locality-Sensitive Hashing](#locality-sensitive-hashing)
    - [van Emde Boas Trees](#van-emde-boas-trees)
    - [Augmented Data Structures](#augmented-data-structures)
    - [Tries](#tries)
    - [N-ary (K-ary, M-ary) trees](#n-ary-k-ary-m-ary-trees)
    - [Balanced search trees](#balanced-search-trees)
        - AVL trees
        - Splay trees
        - Red/black trees
        - 2-3 search trees
        - 2-3-4 Trees (aka 2-4 trees)
        - N-ary (K-ary, M-ary) trees
        - B-Trees
    - [k-D Trees](#k-d-trees)
    - [Skip lists](#skip-lists)
    - [Network Flows](#network-flows)
    - [Disjoint Sets & Union Find](#disjoint-sets--union-find)
    - [Math for Fast Processing](#math-for-fast-processing)
    - [Treap](#treap)
    - [Linear Programming](#linear-programming)
    - [Geometry, Convex hull](#geometry-convex-hull)
    - [Discrete math](#discrete-math)
    - [Machine Learning](#machine-learning)
    - [Go](#go)
- [Información adicional en algunos temas](#informacion-adicional-en-algunos-temas)
- [Video Series](#video-series)
- [Computer Science Courses](#computer-science-courses)

---

## ¿Por qué usarlo?

Estoy siguiendo este plan para prepararme para mi entrevista en Google. He estado construyendo la web, construyendo
servicios, e iniciando empresas desde 1997. Tengo un grado en economía, no un grado en ciencias de los computadores. He sido
muy exitoso en mi carrera, pero quiero trabajar en Google. Quiero progresar dentro de sistemas más grandes
y tener un entendimiento real de ciencias de los computadores, eficiencia algorítmica, rendimiento de estructuras de datos,
lenguajes de bajo nivel, y cómo todo esto funciona. Y si tú no sabes alguno de estos, Google no te contratará.

Cuando comencé este proyecto, no sabía la diferencia entre **un stack y un heap**, no conocía la notación Big-O, nada acerca de árboles, ni cómo
cruzar una gráfica. Si tenía que programar un algoritmo de clasificación, puedo decir que no sería muy bueno.
Cada estructura de datos que había utilizado estaba incorporada al lenguaje, y yo no sabía cómo funcionaban
realmente. Yo nunca tuve que manejar memoria a menos que un proceso que yo estaba corriendo diera un error de “out of
memory”, y tenía que encontrar una alternativa. He usado pocos arreglos de varias dimensiones en mi vida y
miles de arreglos asociativos, pero nunca he creado estructuras de datos desde cero.

Pero después de pasar por todo este plan de estudios tengo mucha confianza de que seré contratado. Me toará
meses. Si mucho de ésto te resulta familiar entonces te tomará mucho menos tiempo.

## Cómo usarlo

Todo lo que aparece abajo es un plan, y deberías abordar los elementos en orden de arriba a abajo.

I'm using Github's special markdown flavor, including tasks lists to check progress.

- [x] Create a new branch so you can check items like this, just put an x in the brackets: [x]


    Fork a branch and follow the commands below

`git checkout -b progress`

`git remote add jwasham https://github.com/jwasham/google-interview-university`

`git fetch --all`

    Mark all boxes with X after you completed your changes

`git add . `

`git commit -m "Marked x" `

`git rebase jwasham/master `

`git push --force `

[More about Github-flavored markdown](https://guides.github.com/features/mastering-markdown/#GitHub-flavored-markdown)

## Envuelvete en la googlemanía

Imprime una copia de "[futuro Googler](https://github.com/jwasham/google-interview-university/blob/master/extras/future-googler.pdf)" (o dos) y mantente enfocado en la meta.

[![Futuro Googler](https://dng5l3qzreal6.cloudfront.net/2016/Oct/Screen_Shot_2016_10_04_at_10_13_24_AM-1475601104364.png)](https://github.com/jwasham/google-interview-university/blob/master/extras/future-googler.pdf)

## ¿Cómo conseguí el trabajo en Google?

!Aun no he aplicado!.

Ahora estoy haciendo problemas de programación todo el día y continuará las próximas semanas, posteriormente aplicaré por medio de una recomendación que he estado posponiedno hasta Febrero (sí, como lo leiste, hasta Febrero).

Gracias a la persona que me esta recomendando, JP.

## Sigue el progreso conmigo

Mi breve historía: [¿Por que estudie a tiempo completo por 8 meses para una entrevista en Gooogle?](https://medium.com/@googleyasheck/why-i-studied-full-time-for-8-months-for-a-google-interview-cc662ce9bb13)

Aún sigo estudiando, sigue el progresso en:
 
- **Blog**: [GoogleyAsHeck.com](https://googleyasheck.com/)
- Twitter: [@googleyasheck](https://twitter.com/googleyasheck)
- Twitter: [@StartupNextDoor](https://twitter.com/StartupNextDoor)
- Google+: [+Googleyasheck](https://plus.google.com/+Googleyasheck)
- LinkedIn: [johnawasham](https://www.linkedin.com/in/johnawasham)

![John Washam - Google Interview University](https://dng5l3qzreal6.cloudfront.net/2016/Aug/book_stack_photo_resized_18_1469302751157-1472661280368.png)

## No pienses que no eres suficientemente inteligente
- Los ingenieros de Google son inteligentes, pero muchos tienen la inseguridad de que no son suficientemente inteligentes, incluso trabajando en Google.
- [El mito del genio en programación](https://www.youtube.com/watch?v=0SARbwvhupQ)

## Acerca de Google

- [ ] Para Estudiantes - [Trabaja en Google: Guía de desarrollo técnico](https://www.google.com/about/careers/students/guide-to-technical-development.html)
- [ ] Como funciona el motor de búsqueda:
    - [ ] [La evolucion (video)](https://www.youtube.com/watch?v=mTBShTwCnD4)
    - [ ] [Como funciona - Historia](https://www.google.com/insidesearch/howsearchworks/thestory/)
    - [ ] [Como funciona](https://www.google.com/insidesearch/howsearchworks/)
    - [ ] [Como funciona - Matt Cutts (video)](https://www.youtube.com/watch?v=BNHR6IQJGZs)
    - [ ] [Como Google hace mejoras en su algoritmo (video)](https://www.youtube.com/watch?v=J5RZOU6vK4Q)
- [ ] Series:
    - [ ] [Como Google afrontó el móvil](https://backchannel.com/how-google-search-dealt-with-mobile-33bc09852dc9)
    - [ ] [El estudio secreto de Google para averiguar lo que necesitamos](https://backchannel.com/googles-secret-study-to-find-out-our-needs-eba8700263bf)
    - [ ] [Google sera tu cerebro](https://backchannel.com/google-search-will-be-your-next-brain-5207c26e4523)
    - [ ] [La mente de Demis Hassabis](https://backchannel.com/the-deep-mind-of-demis-hassabis-156112890d8a)
- [ ] [Libro: Como funciona Google](https://www.amazon.com/How-Google-Works-Eric-Schmidt/dp/1455582344)
- [ ] [Hecho por Google comunicado - Oct 2016 (video)](https://www.youtube.com/watch?v=q4y0KOeXViI)

## Acerca de los recursos en vídeo

Algunos vídeos estan disponibles sólo al inscribirte en Coursera, EdX o Lynda.com. Éstos se llaman MOOCs (Massive Open Online Courses, 
Cursos en línea abiertos masivos).
A veces las clases no están disponibles, por lo que tienes que esperar un par de meses, lo que significa que no tienes acceso. 
Los cursos de Lynda.com no son gratis.

    Agradecería tu ayuda para añadir recursos públicos gratis, que siempre estuvieran disponibles, como videos de YouTube 
    para acompañar los videos de cursos online.
    Me gusta usar recursos procedentes de universidades.

## Prepárate para la entrevista

- [ ] Videos:
    - [ ] [Como trabajar en Google: Prepara la entrevista de ingeniero (video)](https://www.youtube.com/watch?v=ko-KkSmp-Lk)
    - [ ] [Como trabajar en Google: Ejemplo de entrevista de ingeniero (video)](https://www.youtube.com/watch?v=XKu_SEDAykw)
    - [ ] [Como trabajar en Google - Sesion de Coaching para el Candidato (video)](https://www.youtube.com/watch?v=oWbUtlUhwa8&feature=youtu.be)
    - [ ] [Reclutadores de Google, comparten trucos para la entrevista (video)](https://www.youtube.com/watch?v=qc1owf2-220&feature=youtu.be)
    - [ ] [Como trabajar en Google: Preparacion de Currículum (video)](https://www.youtube.com/watch?v=8npJLXkcmu8)

- [ ] Artículos:
    - [ ] [Ser un Googler en tres pasos](http://www.google.com/about/careers/lifeatgoogle/hiringprocess/)
    - [ ] [Consigue ese trabajo en Google](http://steve-yegge.blogspot.com/2008/03/get-that-job-at-google.html)
        - Todas las cosas que menciona que necesitas saber están en una lista más abajo
    - [ ] _(Desactualizado)_ [Como conseguir un trabajo en Google, Preguntas de Entrevista, Processo de selección](http://dondodge.typepad.com/the_next_big_thing/2010/09/how-to-get-a-job-at-google-interview-questions-hiring-process.html)
    - [ ] [Preguntas para la selección por teléfono](http://sites.google.com/site/steveyegge2/five-essential-phone-screen-questions)

- [ ] Cursos de preparacion:
    - [ ] [Entrevista para Ingeniero de Software al descubierto (Curso de pago)](https://www.udemy.com/software-engineer-interview-unleashed):
        - Prepárate para entrevistas de Ingeniero de Software con consejos de un entrevistador de Google.

- [ ] Adicional (No sugerido por Google, pero los añadí):
    - [ ] [ABC: Programa siempre que puedas](https://medium.com/always-be-coding/abc-always-be-coding-d5f8051afce2#.4heg8zvm4)
    - [ ] [Cuatro pasos a Google sin tener un grado](https://medium.com/always-be-coding/four-steps-to-google-without-a-degree-8f381aa6bd5e#.asalo1vfx)
    - [ ] [Whiteboarding (Usar una pizarra blanca)](https://medium.com/@dpup/whiteboarding-4df873dbba2e#.hf6jn45g1)
    - [ ] [Que piensa Google de contratar personas, Gestión y Cultura](http://www.kpcb.com/blog/lessons-learned-how-google-thinks-about-hiring-management-and-culture)
    - [ ] [Whiteboarding efectivo durante entrevistas de programacion](http://www.coderust.com/blog/2014/04/10/effective-whiteboarding-during-programming-interviews/)
    - [ ] Hacer muy bien la entrevista de programación Set 1:
        - [ ] [Gayle L McDowell - Cracking The Coding Interview (video)](https://www.youtube.com/watch?v=rEJzOhC5ZtQ)
        - [ ] [Cracking the Coding Interview con el autor Gayle Laakmann McDowell (video)](https://www.youtube.com/watch?v=aClxtDcdpsQ)
    - [ ] Como conseguir un trabajo en una de las 4 grandes:
        - [ ] ['Como conseguir un trabajo en una de las 4 grandes - Amazon, Facebook, Google & Microsoft' (video)](https://www.youtube.com/watch?v=YJZCUhxNCv8)
    - [ ] [Haciendo las entrevistas de Google mal](http://alexbowe.com/failing-at-google-interviews/)

## Escoge un lenguaje para la entrevista

Escribí un articulo pequeño sobre esto: [Important: Pick One Language for the Google Interview](https://googleyasheck.com/important-pick-one-language-for-the-google-interview/)

Puedes usar un lenguaje en el que estas cómodo para hacer la parte de código para la entrevista, pero para Google, estas son buenas elecciones:

- C++
- Java
- Python

También podrías usar éstos, pero busca información primero. Puede haber advertencias:

- JavaScript
- Ruby

Debes sentirte muy cómodo con el lenguaje y ser experto.

Lee más acerca de opciones:
- http://www.byte-by-byte.com/choose-the-right-language-for-your-coding-interview/
- http://blog.codingforinterviews.com/best-programming-language-jobs/
- https://www.quora.com/What-is-the-best-language-to-program-in-for-an-in-person-Google-interview

[Ve recursos de programas aquí](../programming-language-resources.md)

Verás algunos materiales de aprendizaje de C, C++ y Python abajo, porque estoy aprendiendo. Hay algunos libros involucrados, ve al final.

## Lista de libros

Ésta es una lista más corta que la que yo usé. Está abreviada para ahorrarte tiempo.

### Preparación para la entrevista

- [ ] [Entrevistas de Programación Expuestas: Secretos para Conseguir tu Próximo Trabajo, 2a Edición](http://www.wiley.com/WileyCDA/WileyTitle/productCd-047012167X.html)
    - respuestas en C++ y Java
    - recommendado en entrenamiento para candidato Goole
    - éste es un buen calentamiento para Cracking la Entrevista de Programación
    - no muy difícil, la mayoría de los problemas podrían ser más fáciles que lo que verás en una entrevista (por lo que he leído)
- [ ] [Cracking la Entrevista de Programación, 6a Edición](http://www.amazon.com/Cracking-Coding-Interview-6th-Programming/dp/0984782850/)
    - respuestas en Java
    - recommendado en el [sitio de Google Careers](https://www.google.com/about/careers/how-we-hire/interview/)
    - si ves personas que hacen referencia a "El Currículum Google", éste era un libro reemplazado por "Cracking la Entrevista de Programación".

Si tienes mucho tiempo extra:

- [ ] [Elementos de las Entrevistas de Trabajo](https://www.amazon.com/Elements-Programming-Interviews-Insiders-Guide/dp/1479274836)
    - todo el código está en C++, muy bueno si has optado por C++ en tu entrevista
    - un libro sobre solución de problemas en general.

### Computer Architecture

If short on time:

- [ ] [Write Great Code: Volume 1: Understanding the Machine](https://www.amazon.com/Write-Great-Code-Understanding-Machine/dp/1593270038)
    - The book was published in 2004, and is somehat outdated, but it's a terrific resource for understanding a computer in brief.
    - The author invented HLA, so take mentions and examples in HLA with a grain of salt. Not widely used, but decent examples of what assembly looks like.
    - These chapters are worth the read to give you a nice foundation:
        - Chapter 2 - Numeric Representation
        - Chapter 3 - Binary Arithmetic and Bit Operations
        - Chapter 4 - Floating-Point Representation
        - Chapter 5 - Character Representation
        - Chapter 6 - Memory Organization and Access
        - Chapter 7 - Composite Data Types and Memory Objects
        - Chapter 9 - CPU Architecture
        - Chapter 10 - Instruction Set Architecture
        - Chapter 11 - Memory Architecture and Organization 

If you have more time (I want this book):

- [ ] [Computer Architecture, Fifth Edition: A Quantitative Approach](https://www.amazon.com/dp/012383872X/)
    - For a richer, more up-to-date (2011), but longer treatment

### Language Specific

**You need to choose a language for the interview (see above).** Here are my recommendations by language. I don't have resources for all languages. I welcome additions.

If you read though one of these, you should have all the data structures and algorithms knowledge you'll need to start doing coding problems. 
**You can skip all the video lectures in this project**, unless you'd like a review.

[Additional language-specific resources here.](../programming-language-resources.md)

### C++

I haven't read these two, but they are highly rated and written by Sedgewick. He's awesome.

- [ ] [Algorithms in C++, Parts 1-4: Fundamentals, Data Structure, Sorting, Searching](https://www.amazon.com/Algorithms-Parts-1-4-Fundamentals-Structure/dp/0201350882/) 
- [ ] [Algorithms in C++ Part 5: Graph Algorithms](https://www.amazon.com/Algorithms-Part-Graph-3rd-Pt-5/dp/0201361183/)

If you have a better recommendation for C++, please let me know. Looking for a comprehensive resource.

### Java

- [ ] [Algorithms (Sedgewick and Wayne)](https://www.amazon.com/Algorithms-4th-Robert-Sedgewick/dp/032157351X/)
    - videos with book content (and Sedgewick!):
        - [Algorithms I](https://www.youtube.com/user/algorithmscourses/playlists?view=50&sort=dd&shelf_id=2)
        - [Algorithms II](https://www.youtube.com/user/algorithmscourses/playlists?shelf_id=3&view=50&sort=dd)

OR:

- [ ] [Data Structures and Algorithms in Java](https://www.amazon.com/Data-Structures-Algorithms-Michael-Goodrich/dp/1118771338/)
    - by Goodrich, Tamassia, Goldwasser
    - used as optional text for CS intro course at UC Berkeley
    - see my book report on the Python version below. This book covers the same topics.

### Python

- [ ] [Data Structures and Algorithms in Python](https://www.amazon.com/Structures-Algorithms-Python-Michael-Goodrich/dp/1118290275/)
    - by Goodrich, Tamassia, Goldwasser
    - I loved this book. It covered everything and more.
    - Pythonic code
    - my glowing book report: https://googleyasheck.com/book-report-data-structures-and-algorithms-in-python/


### Optional Books

**Some people recommend these, but I think it's going overboard, unless you have many years of software engineering experience and expect a much harder interview:**

- [ ] [Algorithm Design Manual](http://www.amazon.com/Algorithm-Design-Manual-Steven-Skiena/dp/1849967202) (Skiena)
    - As a review and problem recognition
    - The algorithm catalog portion is well beyond the scope of difficulty you'll get in an interview.
    - This book has 2 parts:
        - class textbook on data structures and algorithms
            - pros:
                - is a good review as any algorithms textbook would be
                - nice stories from his experiences solving problems in industry and academia
                - code examples in C
            - cons:
                - can be as dense or impenetrable as CLRS, and in some cases, CLRS may be a better alternative for some subjects
                - chapters 7, 8, 9 can be painful to try to follow, as some items are not explained well or require more brain than I have
                - don't get me wrong: I like Skiena, his teaching style, and mannerisms, but I may not be Stony Brook material.
        - algorithm catalog:
            - this is the real reason you buy this book.
            - about to get to this part. Will update here once I've made my way through it.
    - To quote Yegge: "More than any other book it helped me understand just how astonishingly commonplace
        (and important) graph problems are – they should be part of every working programmer's toolkit. The book also
        covers basic data structures and sorting algorithms, which is a nice bonus. But the gold mine is the second half
        of the book, which is a sort of encyclopedia of 1-pagers on zillions of useful problems and various ways to solve
        them, without too much detail. Almost every 1-pager has a simple picture, making it easy to remember. This is a
        great way to learn how to identify hundreds of problem types."
    - Can rent it on kindle
    - Half.com is a great resource for textbooks at good prices.
    - Answers:
        - [Solutions](http://www.algorithm.cs.sunysb.edu/algowiki/index.php/The_Algorithms_Design_Manual_(Second_Edition))
        - [Solutions](http://blog.panictank.net/category/algorithmndesignmanualsolutions/page/2/)
    - [Errata](http://www3.cs.stonybrook.edu/~skiena/algorist/book/errata)

- [ ] [Introduction to Algorithms](https://www.amazon.com/Introduction-Algorithms-3rd-MIT-Press/dp/0262033844)
    - **Important:** Reading this book will only have limited value. This book is a great review of algorithms and data structures, but won't teach you how to write good code. You have to be able to code a decent solution efficiently.
    - To quote Yegge: "But if you want to come into your interviews *prepped*, then consider deferring your application until you've made your way through that book."
    - Half.com is a great resource for textbooks at good prices.
    - aka CLR, sometimes CLRS, because Stein was late to the game

- [ ] [Programming Pearls](http://www.amazon.com/Programming-Pearls-2nd-Jon-Bentley/dp/0201657880)
    - The first couple of chapters present clever solutions to programming problems (some very old using data tape) but
      that is just an intro. This a guidebook on program design and architecture, much like Code Complete, but much shorter.

- ~~"Algorithms and Programming: Problems and Solutions" by Shen~~
    - A fine book, but after working through problems on several pages I got frustrated with the Pascal, do while loops, 1-indexed arrays, and unclear post-condition satisfaction results. 
    - Would rather spend time on coding problems from another book or online coding problems.


## Antes de que Comiences

Esta lista creció durante muchos meses, y sí, más o menos se salió de mis manos.

Aquí están algunos errores que cometí para que tú tengas una mejor experiencia.

### 1. No lo Recordarás Todo

Ví horas de videos y tomé muchas notas, y meses después había muchas cosas que no recordaba. Pasé tres días repasando 
mis notas y haciendo tarjetas de memoria para así poder repasar.

Lee por favor para que no cometas mis errores:

[Reteniendo Conocimiento en Ciencias de la Computación](https://googleyasheck.com/retaining-computer-science-knowledge/)

### 2. Usa Tarjetas de Memoria

Para resolver el problema, hice un sitio para pequeñas tarjetas de memoria donde podía agregar tarjetas de 2 tipos: generales y de código.
Cada tarjeta tiene un formato diferente.

Hice un sitio web para móviles para que pudiera revisar en mi teléfono o tableta, donde sea que estaba.

Haz el tuyo gratis:

- [Repositorio de sitio de tarjetas de memoria](https://github.com/jwasham/computer-science-flash-cards)
- [Mi base de datos de tarjetas de memoria](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham.db): Toma en cuenta que yo fui muy lejos y tengo tarjetas cubriendo todo desde lenguaje ensamblador y Python trivia hasta aprendizaje de máquinas y estadística. Es mucho para lo requerido por Google.

**Nota en tarjetas de memoria:** La primera vez que te das cuenta que conoces la respuesta, no la marques como conocida. Tienes que ver la
misma carta y responderla correctamente muchas veces antes de que realmente la conozcas. La repetición pondrá ese conocimiento más profundo en
tu cerebro.

Una alternativa a usar mi sitio de tarjetas de memoria es [Anki](http://ankisrs.net/), el cuál me han recomendado numerosas veces. Usa un sistema de repetición que te ayuda a recordar.
Es amigable con el usuario, disponible en todas las plataformas y tiene un sistema de sincronización en la nube. Cuesta $25 USD para iOS pero es gratis para otras plataformas.

Mi base de datos de tarjetas de memoria en formato Anki: https://ankiweb.net/shared/info/25173560 (gracias [@xiewenya](https://github.com/xiewenya))

### 3. Revisa, revisa, revisa

Yo mantengo un conjunto de hojas de trucos en ASCII, pila OSI, notación Big-O, y más. Las estudio cuando tengo un poco de tiempo libre.

Toma un descanso de problemas de programación por media hora y revisa tus tarjetas de memoria.

### 4. Enfócate

Hay muchas distracciones que pueden quitarte tiempo valioso. El enfoque y la concentración son difíciles.

## Lo que no Verás Cubierto

Esta gran lista comenzó como una lista personal de cosas por hacer hecha de notas de entrenamiento para entrevista en Google. Estas son tecnologas predominantes
pero no fueron mencionadas en esas notas.

- SQL
- Javascript
- HTML, CSS, y otras tecnologías de front-end.

## The Daily Plan

Some subjects take one day, and some will take multiple days. Some are just learning with nothing to implement.

Each day I take one subject from the list below, watch videos about that subject, and write an implementation in:
- C - using structs and functions that take a struct * and something else as args.
- C++ - without using built-in types
- C++ - using built-in types, like STL's std::list for a linked list
- Python - using built-in types (to keep practicing Python)
- and write tests to ensure I'm doing it right, sometimes just using simple assert() statements
- You may do Java or something else, this is just my thing.

You don't need all these. You need only [one language for the interview](#pick-one-language-for-the-interview).

Why code in all of these?
- Practice, practice, practice, until I'm sick of it, and can do it with no problem (some have many edge cases and bookkeeping details to remember)
- Work within the raw constraints (allocating/freeing memory without help of garbage collection (except Python))
- Make use of built-in types so I have experience using the built-in tools for real-world use (not going to write my own linked list implementation in production)

I may not have time to do all of these for every subject, but I'll try.

You can see my code here:
 - [C] (https://github.com/jwasham/practice-c)
 - [C++] (https://github.com/jwasham/practice-cpp)
 - [Python] (https://github.com/jwasham/practice-python)

You don't need to memorize the guts of every algorithm.

Write code on a whiteboard or paper, not a computer. Test with some sample inputs. Then test it out on a computer.

## Prerequisite Knowledge

- [ ] **Learn C**
    - C is everywhere. You'll see examples in books, lectures, videos, *everywhere* while you're studying.
    - [ ] [C Programming Language, Vol 2](https://www.amazon.com/Programming-Language-Brian-W-Kernighan/dp/0131103628)
        - This is a short book, but it will give you a great handle on the C language and if you practice it a little 
            you'll quickly get proficient. Understanding C helps you understand how programs and memory work.
        - [answers to questions](https://github.com/lekkas/c-algorithms) 

- [ ] **How computers process a program:**
    - [ ] [How does CPU execute program (video)](https://www.youtube.com/watch?v=42KTvGYQYnA)
    - [ ] [Machine Code Instructions (video)](https://www.youtube.com/watch?v=Mv2XQgpbTNE)

## Algorithmic complexity / Big-O / Asymptotic analysis
- nothing to implement
- [ ] [Harvard CS50 - Asymptotic Notation (video)](https://www.youtube.com/watch?v=iOq5kSKqeR4)
- [ ] [Big O Notations (general quick tutorial) (video)](https://www.youtube.com/watch?v=V6mKVRU1evU)
- [ ] [Big O Notation (and Omega and Theta) - best mathematical explanation (video)](https://www.youtube.com/watch?v=ei-A_wy5Yxw&index=2&list=PL1BaGV1cIH4UhkL8a9bJGG356covJ76qN)
- [ ] Skiena:
    - [video](https://www.youtube.com/watch?v=gSyDMtdPNpU&index=2&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b)
    - [slides](http://www3.cs.stonybrook.edu/~algorith/video-lectures/2007/lecture2.pdf)
- [ ] [A Gentle Introduction to Algorithm Complexity Analysis](http://discrete.gr/complexity/)
- [ ] [Orders of Growth (video)](https://class.coursera.org/algorithmicthink1-004/lecture/59)
- [ ] [Asymptotics (video)](https://class.coursera.org/algorithmicthink1-004/lecture/61)
- [ ] [UC Berkeley Big O (video)](https://youtu.be/VIS4YDpuP98)
- [ ] [UC Berkeley Big Omega (video)](https://youtu.be/ca3e7UVmeUc)
- [ ] [Amortized Analysis (video)](https://www.youtube.com/watch?v=B3SpQZaAZP4&index=10&list=PL1BaGV1cIH4UhkL8a9bJGG356covJ76qN)
- [ ] [Illustrating "Big O" (video)](https://class.coursera.org/algorithmicthink1-004/lecture/63)
- [ ] TopCoder (includes recurrence relations and master theorem):
    - [Computational Complexity: Section 1](https://www.topcoder.com/community/data-science/data-science-tutorials/computational-complexity-section-1/)
    - [Computational Complexity: Section 2](https://www.topcoder.com/community/data-science/data-science-tutorials/computational-complexity-section-2/)
- [ ] [Cheat sheet](http://bigocheatsheet.com/)


    If some of the lectures are too mathy, you can jump down to the bottom and
    watch the discrete mathematics videos to get the background knowledge.

## Data Structures

- ### Arrays
    - Implement an automatically resizing vector.
    - [ ] Description:
        - [Arrays (video)](https://www.coursera.org/learn/data-structures/lecture/OsBSF/arrays)
        - [UCBerkley CS61B - Linear and Multi-Dim Arrays (video)](https://youtu.be/Wp8oiO_CZZE?t=15m32s)
        - [Basic Arrays (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Basic-arrays/149042/177104-4.html)
        - [Multi-dim (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Multidimensional-arrays/149042/177105-4.html)
        - [Dynamic Arrays (video)](https://www.coursera.org/learn/data-structures/lecture/EwbnV/dynamic-arrays)
        - [Jagged Arrays (video)](https://www.youtube.com/watch?v=1jtrQqYpt7g)
        - [Jagged Arrays (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Jagged-arrays/149042/177106-4.html)
        - [Resizing arrays (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Resizable-arrays/149042/177108-4.html)
    - [ ] Implement a vector (mutable array with automatic resizing):
        - [ ] Practice coding using arrays and pointers, and pointer math to jump to an index instead of using indexing.
        - [ ] new raw data array with allocated memory
            - can allocate int array under the hood, just not use its features
            - start with 16, or if starting number is greater, use power of 2 - 16, 32, 64, 128
        - [ ] size() - number of items
        - [ ] capacity() - number of items it can hold
        - [ ] is_empty()
        - [ ] at(index) - returns item at given index, blows up if index out of bounds
        - [ ] push(item)
        - [ ] insert(index, item) - inserts item at index, shifts that index's value and trailing elements to the right
        - [ ] prepend(item) - can use insert above at index 0
        - [ ] pop() - remove from end, return value
        - [ ] delete(index) - delete item at index, shifting all trailing elements left
        - [ ] remove(item) - looks for value and removes index holding it (even if in multiple places)
        - [ ] find(item) - looks for value and returns first index with that value, -1 if not found
        - [ ] resize(new_capacity) // private function
            - when you reach capacity, resize to double the size
            - when popping an item, if size is 1/4 of capacity, resize to half
    - [ ] Time
        - O(1) to add/remove at end (amortized for allocations for more space), index, or update
        - O(n) to insert/remove elsewhere
    - [ ] Space
        - contiguous in memory, so proximity helps performance
        - space needed = (array capacity, which is >= n) * size of item, but even if 2n, still O(n)

- ### Linked Lists
    - [ ] Description:
        - [ ] [Singly Linked Lists (video)](https://www.coursera.org/learn/data-structures/lecture/kHhgK/singly-linked-lists)
        - [ ] [CS 61B - Linked Lists (video)](https://www.youtube.com/watch?v=sJtJOtXCW_M&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=5)
    - [ ] [C Code (video)](https://www.youtube.com/watch?v=QN6FPiD0Gzo)
            - not the whole video, just portions about Node struct and memory allocation.
    - [ ] Linked List vs Arrays:
        - [Core Linked Lists Vs Arrays (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/rjBs9/core-linked-lists-vs-arrays)
        - [In The Real World Linked Lists Vs Arrays (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/QUaUd/in-the-real-world-lists-vs-arrays)
    - [ ] [why you should avoid linked lists (video)](https://www.youtube.com/watch?v=YQs6IC-vgmo)
    - [ ] Gotcha: you need pointer to pointer knowledge:
        (for when you pass a pointer to a function that may change the address where that pointer points)
        This page is just to get a grasp on ptr to ptr. I don't recommend this list traversal style. Readability and maintainability suffer due to cleverness.
        - [Pointers to Pointers](https://www.eskimo.com/~scs/cclass/int/sx8.html)
    - [ ] implement (I did with tail pointer & without):
        - [ ] size() - returns number of data elements in list
        - [ ] empty() - bool returns true if empty
        - [ ] value_at(index) - returns the value of the nth item (starting at 0 for first)
        - [ ] push_front(value) - adds an item to the front of the list
        - [ ] pop_front() - remove front item and return its value
        - [ ] push_back(value) - adds an item at the end
        - [ ] pop_back() - removes end item and returns its value
        - [ ] front() - get value of front item
        - [ ] back() - get value of end item
        - [ ] insert(index, value) - insert value at index, so current item at that index is pointed to by new item at index
        - [ ] erase(index) - removes node at given index
        - [ ] value_n_from_end(n) - returns the value of the node at nth position from the end of the list
        - [ ] reverse() - reverses the list
        - [ ] remove_value(value) - removes the first item in the list with this value
    - [ ] Doubly-linked List
        - [Description (video)](https://www.coursera.org/learn/data-structures/lecture/jpGKD/doubly-linked-lists)
        - No need to implement

- ### Stack
    - [ ] [Stacks (video)](https://www.coursera.org/learn/data-structures/lecture/UdKzQ/stacks)
    - [ ] [Using Stacks Last-In First-Out (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-stacks-last-first-out/149042/177120-4.html)
    - [ ] Will not implement. Implementing with array is trivial.

- ### Queue
    - [ ] [Using Queues First-In First-Out(video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-queues-first-first-out/149042/177122-4.html)
    - [ ] [Queue (video)](https://www.coursera.org/learn/data-structures/lecture/EShpq/queue)
    - [ ] [Circular buffer/FIFO](https://en.wikipedia.org/wiki/Circular_buffer)
    - [ ] [Priority Queues (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Priority-queues-deques/149042/177123-4.html)
    - [ ] Implement using linked-list, with tail pointer:
        - enqueue(value) - adds value at position at tail
        - dequeue() - returns value and removes least recently added element (front)
        - empty()
    - [ ] Implement using fixed-sized array:
        - enqueue(value) - adds item at end of available storage
        - dequeue() - returns value and removes least recently added element
        - empty()
        - full()
    - [ ] Cost:
        - a bad implementation using linked list where you enqueue at head and dequeue at tail would be O(n)
            because you'd need the next to last element, causing a full traversal each dequeue
        - enqueue: O(1) (amortized, linked list and array [probing])
        - dequeue: O(1) (linked list and array)
        - empty: O(1) (linked list and array)

- ### Hash table
    - [ ] Videos:
        - [ ] [Hashing with Chaining (video)](https://www.youtube.com/watch?v=0M_kIqhwbFo&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=8)
        - [ ] [Table Doubling, Karp-Rabin (video)](https://www.youtube.com/watch?v=BRO7mVIFt08&index=9&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb)
        - [ ] [Open Addressing, Cryptographic Hashing (video)](https://www.youtube.com/watch?v=rvdJDijO2Ro&index=10&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb)
        - [ ] [PyCon 2010: The Mighty Dictionary (video)](https://www.youtube.com/watch?v=C4Kc8xzcA68)
        - [ ] [(Advanced) Randomization: Universal & Perfect Hashing (video)](https://www.youtube.com/watch?v=z0lJ2k0sl1g&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=11)
        - [ ] [(Advanced) Perfect hashing (video)](https://www.youtube.com/watch?v=N0COwN14gt0&list=PL2B4EEwhKD-NbwZ4ezj7gyc_3yNrojKM9&index=4)

    - [ ] Online Courses:
        - [ ] [Understanding Hash Functions (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Understanding-hash-functions/149042/177126-4.html)
        - [ ] [Using Hash Tables (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-hash-tables/149042/177127-4.html)
        - [ ] [Supporting Hashing (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Supporting-hashing/149042/177128-4.html)
        - [ ] [Language Support Hash Tables (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Language-support-hash-tables/149042/177129-4.html)
        - [ ] [Core Hash Tables (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/m7UuP/core-hash-tables)
        - [ ] [Data Structures (video)](https://www.coursera.org/learn/data-structures/home/week/3)
        - [ ] [Phone Book Problem (video)](https://www.coursera.org/learn/data-structures/lecture/NYZZP/phone-book-problem)
        - [ ] distributed hash tables:
            - [Instant Uploads And Storage Optimization In Dropbox (video)](https://www.coursera.org/learn/data-structures/lecture/DvaIb/instant-uploads-and-storage-optimization-in-dropbox)
            - [Distributed Hash Tables (video)](https://www.coursera.org/learn/data-structures/lecture/tvH8H/distributed-hash-tables)

    - [ ] implement with array using linear probing
        - hash(k, m) - m is size of hash table
        - add(key, value) - if key already exists, update value
        - exists(key)
        - get(key)
        - remove(key)

## Para saber más

- ### Búsqueda binaria
    - [ ] [Búsqueda binaria (video)](https://www.youtube.com/watch?v=D5SrAga1pno)
    - [ ] [Búsqueda binaria (video)](https://www.khanacademy.org/computing/computer-science/algorithms/binary-search/a/binary-search)
    - [ ] [Detalle](https://www.topcoder.com/community/data-science/data-science-tutorials/binary-search/)
    - [ ] Implementacion:
        - Búsqueda binaria (En arrays de enteros ordenados)
        - Búsqueda binaria con recursividad

- ### Operaciones bit a bit
    - [ ] [Bits cheat sheet](https://github.com/jwasham/google-interview-university/blob/master/extras/cheat%20sheets/bits-cheat-cheet.pdf) - you should know many of the powers of 2 from (2^1 to 2^16 and 2^32)
    - [ ] Entiende como manipular bits perfectamente con: &, |, ^, ~, >>, <<
        - [ ] [Palabras](https://en.wikipedia.org/wiki/Word_(computer_architecture))
        - [ ] Buena introduccion:
            [Manipulacion de bits (video)](https://www.youtube.com/watch?v=7jkIUgLC29I)
        - [ ] [Tutorial de programacion en C 2-10: Operadores bit a bit (video)](https://www.youtube.com/watch?v=d0AwjSpNXR0)
        - [ ] [Manipulacion de bits](https://en.wikipedia.org/wiki/Bit_manipulation)
        - [ ] [Operacion bit a bit](https://en.wikipedia.org/wiki/Bitwise_operation)
        - [ ] [Bithacks](https://graphics.stanford.edu/~seander/bithacks.html)
        - [ ] [El manipulador de Bits](http://bits.stephan-brumme.com/)
        - [ ] [El manipulador de bits interactivo](http://bits.stephan-brumme.com/interactive.html)
    - [ ] Complementos de a 2 y de a 1
        - [Binario: Mas y Menos (Porqué utilizamos el complemento a 2) (video)](https://www.youtube.com/watch?v=lKTsv6iVxV4)
        - [Complemento a 1](https://en.wikipedia.org/wiki/Ones%27_complement)
        - [Complemento a 2](https://en.wikipedia.org/wiki/Two%27s_complement)
    - [ ] Contar bits activados
        - [$ maneras de contar bits en un byte (video)](https://youtu.be/Hzuzo9NJrlc)
        - [Contar bits](https://graphics.stanford.edu/~seander/bithacks.html#CountBitsSetKernighan)
        - [Como contar los bits activados en un entero de 32 bits](http://stackoverflow.com/questions/109023/how-to-count-the-number-of-set-bits-in-a-32-bit-integer)
    - [ ] Redondear a la siguiente potencia de 2:
        - [Redondear a la siguiente potencia de 2](http://bits.stephan-brumme.com/roundUpToNextPowerOfTwo.html)
    - [ ] Intercambiar valores:
        - [Intercambio](http://bits.stephan-brumme.com/swap.html)
    - [ ] Valor absoluto:
        - [Entero absoluto](http://bits.stephan-brumme.com/absInteger.html)

## Trees

- ### Trees - Notes & Background
    - [ ] [Series: Core Trees (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/ovovP/core-trees)
    - [ ] [Series: Trees (video)](https://www.coursera.org/learn/data-structures/lecture/95qda/trees)
    - basic tree construction
    - traversal
    - manipulation algorithms
    - BFS (breadth-first search)
        - [MIT (video)](https://www.youtube.com/watch?v=s-CYnVz-uh4&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=13)
        - level order (BFS, using queue)
            time complexity: O(n)
            space complexity: best: O(1), worst: O(n/2)=O(n)
    - DFS (depth-first search)
        - [MIT (video)](https://www.youtube.com/watch?v=AfSk24UTFS8&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=14)
        - notes:
            time complexity: O(n)
            space complexity:
                best: O(log n) - avg. height of tree
                worst: O(n)
        - inorder (DFS: left, self, right)
        - postorder (DFS: left, right, self)
        - preorder (DFS: self, left, right)

- ### Binary search trees: BSTs
    - [ ] [Binary Search Tree Review (video)](https://www.youtube.com/watch?v=x6At0nzX92o&index=1&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6)
    - [ ] [Series (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/p82sw/core-introduction-to-binary-search-trees)
        - starts with symbol table and goes through BST applications
    - [ ] [Introduction (video)](https://www.coursera.org/learn/data-structures/lecture/E7cXP/introduction)
    - [ ] [MIT (video)](https://www.youtube.com/watch?v=9Jry5-82I68)
    - C/C++:
        - [ ] [Binary search tree - Implementation in C/C++ (video)](https://www.youtube.com/watch?v=COZK7NATh4k&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=28)
        - [ ] [BST implementation - memory allocation in stack and heap (video)](https://www.youtube.com/watch?v=hWokyBoo0aI&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=29)
        - [ ] [Find min and max element in a binary search tree (video)](https://www.youtube.com/watch?v=Ut90klNN264&index=30&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P)
        - [ ] [Find height of a binary tree (video)](https://www.youtube.com/watch?v=_pnqMz5nrRs&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=31)
        - [ ] [Binary tree traversal - breadth-first and depth-first strategies (video)](https://www.youtube.com/watch?v=9RHO6jU--GU&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=32)
        - [ ] [Binary tree: Level Order Traversal (video)](https://www.youtube.com/watch?v=86g8jAQug04&index=33&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P)
        - [ ] [Binary tree traversal: Preorder, Inorder, Postorder (video)](https://www.youtube.com/watch?v=gm8DUJJhmY4&index=34&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P)
        - [ ] [Check if a binary tree is binary search tree or not (video)](https://www.youtube.com/watch?v=yEwSGhSsT0U&index=35&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P)
        - [ ] [Delete a node from Binary Search Tree (video)](https://www.youtube.com/watch?v=gcULXE7ViZw&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=36)
        - [ ] [Inorder Successor in a binary search tree (video)](https://www.youtube.com/watch?v=5cPbNCrdotA&index=37&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P)
    - [ ] Implement:
        - [ ] insert    // insert value into tree
        - [ ] get_node_count // get count of values stored
        - [ ] print_values // prints the values in the tree, from min to max
        - [ ] delete_tree
        - [ ] is_in_tree // returns true if given value exists in the tree
        - [ ] get_height // returns the height in nodes (single node's height is 1)
        - [ ] get_min   // returns the minimum value stored in the tree
        - [ ] get_max   // returns the maximum value stored in the tree
        - [ ] is_binary_search_tree
        - [ ] delete_value
        - [ ] get_successor // returns next-highest value in tree after given value, -1 if none

- ### Heap / Priority Queue / Binary Heap
    - visualized as a tree, but is usually linear in storage (array, linked list)
    - [ ] [Heap](https://en.wikipedia.org/wiki/Heap_(data_structure))
    - [ ] [Introduction (video)](https://www.coursera.org/learn/data-structures/lecture/2OpTs/introduction)
    - [ ] [Naive Implementations (video)](https://www.coursera.org/learn/data-structures/lecture/z3l9N/naive-implementations)
    - [ ] [Binary Trees (video)](https://www.coursera.org/learn/data-structures/lecture/GRV2q/binary-trees)
    - [ ] [Tree Height Remark (video)](https://www.coursera.org/learn/data-structures/supplement/S5xxz/tree-height-remark)
    - [ ] [Basic Operations (video)](https://www.coursera.org/learn/data-structures/lecture/0g1dl/basic-operations)
    - [ ] [Complete Binary Trees (video)](https://www.coursera.org/learn/data-structures/lecture/gl5Ni/complete-binary-trees)
    - [ ] [Pseudocode (video)](https://www.coursera.org/learn/data-structures/lecture/HxQo9/pseudocode)
    - [ ] [Heap Sort - jumps to start (video)](https://youtu.be/odNJmw5TOEE?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3291)
    - [ ] [Heap Sort (video)](https://www.coursera.org/learn/data-structures/lecture/hSzMO/heap-sort)
    - [ ] [Building a heap (video)](https://www.coursera.org/learn/data-structures/lecture/dwrOS/building-a-heap)
    - [ ] [MIT: Heaps and Heap Sort (video)](https://www.youtube.com/watch?v=B7hVxCmfPtM&index=4&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb)
    - [ ] [CS 61B Lecture 24: Priority Queues (video)](https://www.youtube.com/watch?v=yIUFT6AKBGE&index=24&list=PL4BBB74C7D2A1049C)
    - [ ] [Linear Time BuildHeap (max-heap)](https://www.youtube.com/watch?v=MiyLo8adrWw)
    - [ ] Implement a max-heap:
        - [ ] insert
        - [ ] sift_up - needed for insert
        - [ ] get_max - returns the max item, without removing it
        - [ ] get_size() - return number of elements stored
        - [ ] is_empty() - returns true if heap contains no elements
        - [ ] extract_max - returns the max item, removing it
        - [ ] sift_down - needed for extract_max
        - [ ] remove(i) - removes item at index x
        - [ ] heapify - create a heap from an array of elements, needed for heap_sort
        - [ ] heap_sort() - take an unsorted array and turn it into a sorted array in-place using a max heap
            - note: using a min heap instead would save operations, but double the space needed (cannot do in-place).

## Sorting

- [ ] Notes:
    - Implement sorts & know best case/worst case, average complexity of each:
        - no bubble sort - it's terrible - O(n^2), except when n <= 16
    - [ ] stability in sorting algorithms ("Is Quicksort stable?")
        - [Sorting Algorithm Stability](https://en.wikipedia.org/wiki/Sorting_algorithm#Stability)
        - [Stability In Sorting Algorithms](http://stackoverflow.com/questions/1517793/stability-in-sorting-algorithms)
        - [Stability In Sorting Algorithms](http://www.geeksforgeeks.org/stability-in-sorting-algorithms/)
        - [Sorting Algorithms - Stability](http://homepages.math.uic.edu/~leon/cs-mcs401-s08/handouts/stability.pdf)
    - [ ] Which algorithms can be used on linked lists? Which on arrays? Which on both?
        - I wouldn't recommend sorting a linked list, but merge sort is doable.
        - [Merge Sort For Linked List](http://www.geeksforgeeks.org/merge-sort-for-linked-list/)

- For heapsort, see Heap data structure above. Heap sort is great, but not stable.

- [ ] [Sedgewick - Mergesort (5 videos)](https://www.youtube.com/watch?v=4nKwesx_c8E&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9)
    - [ ] [1. Mergesort](https://www.youtube.com/watch?v=4nKwesx_c8E&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9&index=1)
    - [ ] [2. Bottom up Mergesort](https://www.youtube.com/watch?v=HGOIGUYjeyk&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9&index=2)
    - [ ] [3. Sorting Complexity](https://www.youtube.com/watch?v=WvU_mIWo0Ac&index=3&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9)
    - [ ] [4. Comparators](https://www.youtube.com/watch?v=7MvC1kmBza0&index=4&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9)
    - [ ] [5. Stability](https://www.youtube.com/watch?v=XD_5iINB5GI&index=5&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9)

- [ ] [Sedgewick - Quicksort (4 videos)](https://www.youtube.com/playlist?list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1)
    - [ ] [1. Quicksort](https://www.youtube.com/watch?v=5M5A7qPWk84&index=1&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1)
    - [ ] [2. Selection](https://www.youtube.com/watch?v=CgVYfSyct_M&index=2&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1)
    - [ ] [3. Duplicate Keys](https://www.youtube.com/watch?v=WBFzOYJ5ybM&index=3&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1)
    - [ ] [4. System Sorts](https://www.youtube.com/watch?v=rejpZ2htBjE&index=4&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1)

- [ ] UC Berkeley:
    - [ ] [CS 61B Lecture 29: Sorting I (video)](https://www.youtube.com/watch?v=EiUvYS2DT6I&list=PL4BBB74C7D2A1049C&index=29)
    - [ ] [CS 61B Lecture 30: Sorting II (video)](https://www.youtube.com/watch?v=2hTY3t80Qsk&list=PL4BBB74C7D2A1049C&index=30)
    - [ ] [CS 61B Lecture 32: Sorting III (video)](https://www.youtube.com/watch?v=Y6LOLpxg6Dc&index=32&list=PL4BBB74C7D2A1049C)
    - [ ] [CS 61B Lecture 33: Sorting V (video)](https://www.youtube.com/watch?v=qNMQ4ly43p4&index=33&list=PL4BBB74C7D2A1049C)

- [ ] [Bubble Sort (video)](https://www.youtube.com/watch?v=P00xJgWzz2c&index=1&list=PL89B61F78B552C1AB)
- [ ] [Analyzing Bubble Sort (video)](https://www.youtube.com/watch?v=ni_zk257Nqo&index=7&list=PL89B61F78B552C1AB)
- [ ] [Insertion Sort, Merge Sort (video)](https://www.youtube.com/watch?v=Kg4bqzAqRBM&index=3&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb)
- [ ] [Insertion Sort (video)](https://www.youtube.com/watch?v=c4BRHC7kTaQ&index=2&list=PL89B61F78B552C1AB)
- [ ] [Merge Sort (video)](https://www.youtube.com/watch?v=GCae1WNvnZM&index=3&list=PL89B61F78B552C1AB)
- [ ] [Quicksort (video)](https://www.youtube.com/watch?v=y_G9BkAm6B8&index=4&list=PL89B61F78B552C1AB)
- [ ] [Selection Sort (video)](https://www.youtube.com/watch?v=6nDMgr0-Yyo&index=8&list=PL89B61F78B552C1AB)

- [ ] Merge sort code:
    - [ ] [Using output array (C)](http://www.cs.yale.edu/homes/aspnes/classes/223/examples/sorting/mergesort.c)
    - [ ] [Using output array (Python)](https://github.com/jwasham/practice-python/blob/master/merge_sort/merge_sort.py)
    - [ ] [In-place (C++)](https://github.com/jwasham/practice-cpp/blob/master/merge_sort/merge_sort.cc)
- [ ] Quick sort code:
    - [ ] [Implementation (C)](http://www.cs.yale.edu/homes/aspnes/classes/223/examples/randomization/quick.c)
    - [ ] [Implementation (C)](https://github.com/jwasham/practice-c/blob/master/quick_sort/quick_sort.c)
    - [ ] [Implementation (Python)](https://github.com/jwasham/practice-python/blob/master/quick_sort/quick_sort.py)

- [ ] Implement:
    - [ ] Mergesort: O(n log n) average and worst case
    - [ ] Quicksort O(n log n) average case
    - Selection sort and insertion sort are both O(n^2) average and worst case
    - For heapsort, see Heap data structure above.

- [ ] Not required, but I recommended them:
    - [ ] [Sedgewick - Radix Sorts (6 videos)](https://www.youtube.com/playlist?list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53)
        - [ ] [1. Strings in Java](https://www.youtube.com/watch?v=zRzU-FWsjNU&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53&index=6)
        - [ ] [2. Key Indexed Counting](https://www.youtube.com/watch?v=CtgKYmXs62w&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53&index=5)
        - [ ] [3. Least Significant Digit First String Radix Sort](https://www.youtube.com/watch?v=2pGVq_BwPKs&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53&index=4)
        - [ ] [4. Most Significant Digit First String Radix Sort](https://www.youtube.com/watch?v=M3cYNY90R6c&index=3&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53)
        - [ ] [5. 3 Way Radix Quicksort](https://www.youtube.com/watch?v=YVl58kfE6i8&index=2&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53)
        - [ ] [6. Suffix Arrays](https://www.youtube.com/watch?v=HKPrVm5FWvg&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53&index=1)
    - [ ] [Radix Sort](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#radixSort)
    - [ ] [Radix Sort (video)](https://www.youtube.com/watch?v=xhr26ia4k38)
    - [ ] [Radix Sort, Counting Sort (linear time given constraints) (video)](https://www.youtube.com/watch?v=Nz1KZXbghj8&index=7&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb)
    - [ ] [Randomization: Matrix Multiply, Quicksort, Freivalds' algorithm (video)](https://www.youtube.com/watch?v=cNB2lADK3_s&index=8&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp)
    - [ ] [Sorting in Linear Time (video)](https://www.youtube.com/watch?v=pOKy3RZbSws&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf&index=14)

If you need more detail on this subject, see "Sorting" section in [Información adicional en algunos temas](#informacion-adicional-en-algunos-temas)

## Graphs

Graphs can be used to represent many problems in computer science, so this section is long, like trees and sorting were.

- Notes from Yegge:
    - There are three basic ways to represent a graph in memory:
        - objects and pointers
        - matrix
        - adjacency list
    - Familiarize yourself with each representation and its pros & cons
    - BFS and DFS - know their computational complexity, their tradeoffs, and how to implement them in real code
    - When asked a question, look for a graph-based solution first, then move on if none.

- [ ] Skiena Lectures - great intro:
    - [ ] [CSE373 2012 - Lecture 11 - Graph Data Structures (video)](https://www.youtube.com/watch?v=OiXxhDrFruw&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=11)
    - [ ] [CSE373 2012 - Lecture 12 - Breadth-First Search (video)](https://www.youtube.com/watch?v=g5vF8jscteo&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=12)
    - [ ] [CSE373 2012 - Lecture 13 - Graph Algorithms (video)](https://www.youtube.com/watch?v=S23W6eTcqdY&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=13)
    - [ ] [CSE373 2012 - Lecture 14 - Graph Algorithms (con't) (video)](https://www.youtube.com/watch?v=WitPBKGV0HY&index=14&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b)
    - [ ] [CSE373 2012 - Lecture 15 - Graph Algorithms (con't 2) (video)](https://www.youtube.com/watch?v=ia1L30l7OIg&index=15&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b)
    - [ ] [CSE373 2012 - Lecture 16 - Graph Algorithms (con't 3) (video)](https://www.youtube.com/watch?v=jgDOQq6iWy8&index=16&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b)

- [ ] Graphs (review and more):

    - [ ] [6.006 Single-Source Shortest Paths Problem (video)](https://www.youtube.com/watch?v=Aa2sqUhIn-E&index=15&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb)
    - [ ] [6.006 Dijkstra (video)](https://www.youtube.com/watch?v=2E7MmKv0Y24&index=16&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb)
    - [ ] [6.006 Bellman-Ford (video)](https://www.youtube.com/watch?v=ozsuci5pIso&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=17)
    - [ ] [6.006 Speeding Up Dijkstra (video)](https://www.youtube.com/watch?v=CHvQ3q_gJ7E&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=18)
    - [ ] [Aduni: Graph Algorithms I - Topological Sorting, Minimum Spanning Trees, Prim's Algorithm -  Lecture 6 (video)]( https://www.youtube.com/watch?v=i_AQT_XfvD8&index=6&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm)
    - [ ] [Aduni: Graph Algorithms II - DFS, BFS, Kruskal's Algorithm, Union Find Data Structure - Lecture 7 (video)]( https://www.youtube.com/watch?v=ufj5_bppBsA&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=7)
    - [ ] [Aduni: Graph Algorithms III: Shortest Path - Lecture 8 (video)](https://www.youtube.com/watch?v=DiedsPsMKXc&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=8)
    - [ ] [Aduni: Graph Alg. IV: Intro to geometric algorithms - Lecture 9 (video)](https://www.youtube.com/watch?v=XIAQRlNkJAw&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=9)
    - [ ] [CS 61B 2014 (starting at 58:09) (video)](https://youtu.be/dgjX4HdMI-Q?list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&t=3489)
    - [ ] [CS 61B 2014: Weighted graphs (video)](https://www.youtube.com/watch?v=aJjlQCFwylA&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=19)
    - [ ] [Greedy Algorithms: Minimum Spanning Tree (video)](https://www.youtube.com/watch?v=tKwnms5iRBU&index=16&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp)
    - [ ] [Strongly Connected Components Kosaraju's Algorithm Graph Algorithm (video)](https://www.youtube.com/watch?v=RpgcYiky7uw)

- Full Coursera Course:
    - [ ] [Algorithms on Graphs (video)](https://www.coursera.org/learn/algorithms-on-graphs/home/welcome)

- Yegge: If you get a chance, try to study up on fancier algorithms:
    - [ ] Dijkstra's algorithm - see above - 6.006
    - [ ] A*
        - [ ] [A Search Algorithm](https://en.wikipedia.org/wiki/A*_search_algorithm)
        - [ ] [A* Pathfinding Tutorial (video)](https://www.youtube.com/watch?v=KNXfSOx4eEE)
        - [ ] [A* Pathfinding (E01: algorithm explanation) (video)](https://www.youtube.com/watch?v=-L-WgKMFuhE)

- I'll implement:
    - [ ] DFS with adjacency list (recursive)
    - [ ] DFS with adjacency list (iterative with stack)
    - [ ] DFS with adjacency matrix (recursive)
    - [ ] DFS with adjacency matrix (iterative with stack)
    - [ ] BFS with adjacency list
    - [ ] BFS with adjacency matrix
    - [ ] single-source shortest path (Dijkstra)
    - [ ] minimum spanning tree
    - DFS-based algorithms (see Aduni videos above):
        - [ ] check for cycle (needed for topological sort, since we'll check for cycle before starting)
        - [ ] topological sort
        - [ ] count connected components in a graph
        - [ ] list strongly connected components
        - [ ] check for bipartite graph

You'll get more graph practice in Skiena's book (see Books section below) and the interview books

## Aún más conocimiento

- ### Recursividad
    - [ ] Artículos de Stanford acerca de recursividad y backtracking:
        - [ ] [Artículo 8 | Abstracciones en Programación (video)](https://www.youtube.com/watch?v=gl3emqCuueQ&list=PLFE6E58F856038C69&index=8)
        - [ ] [Artículo 9 | Abstracciones en Programación (video)](https://www.youtube.com/watch?v=uFJhEPrbycQ&list=PLFE6E58F856038C69&index=9)
        - [ ] [Artículo 10 | Abstracciones en Programación (video)](https://www.youtube.com/watch?v=NdF1QDTRkck&index=10&list=PLFE6E58F856038C69)
        - [ ] [Artículo 11 | Abstracciones en Programación (video)](https://www.youtube.com/watch?v=p-gpaIGRCQI&list=PLFE6E58F856038C69&index=11)
    - Cuando es apropiado usarla
    - Recursividad de cola
        - [ ] [Que es recursividad de cola Por qué es tan mala?](https://www.quora.com/What-is-tail-recursion-Why-is-it-so-bad)
        - [ ] [Recursividad de cola (video)](https://www.youtube.com/watch?v=L1jjXGfxozc)

- ### Programacion orientada a objetos
    - [ ] [Opcional: UML 2.0 (video)](https://www.youtube.com/watch?v=OkC7HKtiZC0&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc)
    - [ ] Ingeniería de Software orientada a objetos (OOSE): Desarrollo de Software usando UML y Java (21 videos):
        - Puedes obviar esto si tienes un buen conocimiento de prácticas de diseño de POO.
        - [OOSE: Desarrollo de Software usando UML y Java](https://www.youtube.com/playlist?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO)
    - [ ] Principios SOLID de Desarrollo de Software:
        - [ ] [Principios SOLID en diseño ágil y orientado a objetos, por Bob Martin (video)](https://www.youtube.com/watch?v=TMuno5RZNeE)
        - [ ] [Patrones de diseño SOLID en C# (video)](https://www.youtube.com/playlist?list=PL8m4NUhTQU48oiGCSgCP1FiJEcg_xJzyQ)
        - [ ] [Principios SOLID (video)](https://www.youtube.com/playlist?list=PL4CE9F710017EA77A)
        - [ ] S - [Single Responsibility Principle (Principio de responsabilidad única)](http://www.oodesign.com/single-responsibility-principle.html) | [Single responsibility to each Object](http://www.javacodegeeks.com/2011/11/solid-single-responsibility-principle.html)
            - [Para saber más](https://docs.google.com/open?id=0ByOwmqah_nuGNHEtcU5OekdDMkk)
        - [ ] O - [Open/Closed Principle (Principio de abierto/cerrado)](http://www.oodesign.com/open-close-principle.html)  | [On production level Objects are ready for extension for not for modification](https://en.wikipedia.org/wiki/Open/closed_principle)
            - [Para saber más](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgN2M5MTkwM2EtNWFkZC00ZTI3LWFjZTUtNTFhZGZiYmUzODc1&hl=en)
        - [ ] L - [Liskov Substitution Principle (Principio de sustitucion de Liskov)](http://www.oodesign.com/liskov-s-substitution-principle.html) | [Base Class and Derived class follow ‘IS A’ principal](http://stackoverflow.com/questions/56860/what-is-the-liskov-substitution-principle)
            - [Para saber más](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgNzAzZjA5ZmItNjU3NS00MzQ5LTkwYjMtMDJhNDU5ZTM0MTlh&hl=en)
        - [ ] I - [Interface segregation principle (Principio de segregacion de interfaces)](http://www.oodesign.com/interface-segregation-principle.html) | clients should not be forced to implement interfaces they don't use
            - [Principio de segregacion de interfaces en 5 minutos (video)](https://www.youtube.com/watch?v=3CtAfl7aXAQ)
            - [Para saber más](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgOTViYjJhYzMtMzYxMC00MzFjLWJjMzYtOGJiMDc5N2JkYmJi&hl=en)
        - [ ] D -[Dependency Inversion principle ()Principio de Inversion de Dependencia](http://www.oodesign.com/dependency-inversion-principle.html) | Reduce the dependency In composition of objects.
            - [Qué es el principio de inversion de dependencia y por qué es importante?](http://stackoverflow.com/questions/62539/what-is-the-dependency-inversion-principle-and-why-is-it-important)
            - [Para saber más](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgMjdlMWIzNGUtZTQ0NC00ZjQ5LTkwYzQtZjRhMDRlNTQ3ZGMz&hl=en)

- ### Patrones de diseño 
    - [ ] [Breve repaso de UML (video)](https://www.youtube.com/watch?v=3cmzqZzwNDM&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc&index=3)
    - [ ] Apréndete estos patrones:
        - [ ] strategy
        - [ ] singleton
        - [ ] adapter
        - [ ] prototype
        - [ ] decorator
        - [ ] visitor
        - [ ] factory, abstract factory
        - [ ] facade
        - [ ] observer
        - [ ] proxy
        - [ ] delegate
        - [ ] command
        - [ ] state
        - [ ] memento
        - [ ] iterator
        - [ ] composite
        - [ ] flyweight
    - [ ] [Capítulo 6 (Parte 1) - Patrones (video)](https://youtu.be/LAP2A80Ajrg?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO&t=3344)
    - [ ] [Capítulo 6 (Parte 2) - Abstraction-Occurrence, General Hierarchy, Player-Role, Singleton, Observer, Delegation (video)](https://www.youtube.com/watch?v=U8-PGsjvZc4&index=12&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO)
    - [ ] [Capítulo 6 (Parte 3) - Adapter, Facade, Immutable, Read-Only Interface, Proxy (video)](https://www.youtube.com/watch?v=7sduBHuex4c&index=13&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO)
    - [ ] [Series de videos (27 videos)](https://www.youtube.com/playlist?list=PLF206E906175C7E07)
    - [ ] [Patrones Head First](https://www.amazon.com/Head-First-Design-Patterns-Freeman/dp/0596007124)
        - Sé que "Design Patterns: Elements of Reusable Object-Oriented Software" es el libro más relevante, pero "Head First" esta muy bien para los que empiezan con POO
    - [ ] [Link interesante: 101 Patrones de diseno & Trucos para desarrolladores](https://sourcemaking.com/design-patterns-and-tips)

- ### Combinatoria (n en k) & Probabilidad
    - [ ] [Habilidades matemáticas: Factoriales, Permutaciones y Combinaciones (video)](https://www.youtube.com/watch?v=8RRo6Ti9d0U)
    - [ ] [Probabilidad (un video de Make School)](https://www.youtube.com/watch?v=sZkAAk9Wwa4)
    - [ ] [More Probability and Markov Chains (un video)](https://www.youtube.com/watch?v=dNaJg-mLobQ)
    - [ ] Khan Academy:
        - Estructura del curso:
            - [ ] [Probabilidad teórica básica](https://www.khanacademy.org/math/probability/probability-and-combinatorics-topic)
        - Solo los 41 videos - (Son simples y cortos):
            - [ ] [Probabilidad Explicación (video)](https://www.youtube.com/watch?v=uzkc-qNVoOk&list=PLC58778F28211FA19)

- ### NP, NP-Completo and Algoritmos de aproximación
    - Conocer los problemas NP-Completo más famosos, como el problema del viajante o el de la mochila, y ser capaz de 
        reconocerlos cuando un entrevistador pregunta por ellos disimuladamente.
    - Saber que es y en que consiste un problema NP-Completo.
    - [ ] [Complejidad Computacional (video)](https://www.youtube.com/watch?v=moPtwq_cVH8&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=23)
    - [ ] Simonson:
        - [ ] [Algoritmos voraces II & Introducción a NP-Completo (video)](https://youtu.be/qcGnJ47Smlo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=2939)
        - [ ] [NP-Completo II & Reducciones (video)](https://www.youtube.com/watch?v=e0tGC6ZQdQE&index=16&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm)
        - [ ] [NP-Completo III (Video)](https://www.youtube.com/watch?v=fCX1BGT3wjE&index=17&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm)
        - [ ] [NP-Completo IV (video)](https://www.youtube.com/watch?v=NKLDp3Rch3M&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=18)
    - [ ] Skiena:
        - [ ] [CSE373 2012 - Lecture 23 - Introducción a NP-Completo (video)](https://youtu.be/KiK5TVgXbFg?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1508)
        - [ ] [CSE373 2012 - Lecture 24 - Demostrar problemas NP-Completo (video)](https://www.youtube.com/watch?v=27Al52X3hd4&index=24&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b)
        - [ ] [CSE373 2012 - Lecture 25 - Problema NP-Completo (video)](https://www.youtube.com/watch?v=xCPH4gwIIXM&index=25&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b)
    - [ ] [Complejidad: P, NP, NP-completo, Reducciones (video)](https://www.youtube.com/watch?v=eHZifpgyH_4&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=22)
    - [ ] [Complejidad: Algoritmos de aproximación (video)](https://www.youtube.com/watch?v=MEz1J9wY2iM&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=24)
    - [ ] [Complejidad: Algoritmos de parámetro fijo (video)](https://www.youtube.com/watch?v=4q-jmGrmxKs&index=25&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp)
    - Peter Norvik habla sobre soluciones casi óptimas para el problema del viajante:
        - [Cuaderno Jupyter](http://nbviewer.jupyter.org/url/norvig.com/ipython/TSP.ipynb)
    - Páginas 1048 - 1140 de [CLRS](https://en.wikipedia.org/wiki/Introduction_to_Algorithms) si lo tienes a mano.

- ### Memoria Caché
    - [ ] Menos usado recientemente (LRU):
        - [ ] [La magia de la caché LRU (100 días de desarrollador de Google) (video)](https://www.youtube.com/watch?v=R5ON3iwx78M)
        - [ ] [Implementando LRU (video)](https://www.youtube.com/watch?v=bq6N7Ym81iI)
        - [ ] [LeetCode - 146 Caché LRU (C++) (video)](https://www.youtube.com/watch?v=8-FZRAjR7qU)
    - [ ] Caché de la CPU:
        - [ ] [MIT 6.004 L15: La jerarquía de la memoria (video)](https://www.youtube.com/watch?v=vjYF_fAZI5E&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-&index=24)
        - [ ] [MIT 6.004 L16: Caché - Problemas y situaciones (video)](https://www.youtube.com/watch?v=ajgC3-pyGlk&index=25&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-)

- ### Hilos y procesos
    - [ ] Ciencias de la computación 162 - Sistemas operativos (25 videos):
        - Para hilos y procesos ver los videos 1-11
        - [Sistemas Operativos y Programación de Sistemas (video)](https://www.youtube.com/playlist?list=PL-XXv-cvA_iBDyz-ba4yDskqMDY6A1w_c)
    - [Cuál es la diferencia entre un proceso y un hilo?](https://www.quora.com/What-is-the-difference-between-a-process-and-a-thread)
    - Cubre / Abarca:
        - Procesos, hilos y Concurrencia
            - Diferencia entre hilos y procesos
            - Procesos
            - Hilos
            - Bloqueos
            - Mutexes (Cierre de exclusión mutua)
            - Semáforos
            - Monitores de concurrencia
            - Como funcionan
            - Deadlock (Bloqueo mutuo)
            - Livelock (Bloqueo mutuo, variante de deadlock)
        - Actividad de la CPU, Interrupciones, cambios de contexto
        - Concurrencia moderna con procesadores multi núcleo
        - Demanda de recursos de un proceso (memoria: Códigos, almacenamiento estático, stack, heap, descriptores de archivo e I/O (Entrada / Salida))
        - Demanda de recursos de los hilos (Comparte los anteriores, a excepción de stack, con otros hilos en el mismo proceso, pero cada uno tiene su propio contador de programa, contador de stack, registros, y stack)
        - Forking realmente es copia en escritura (read-only) hasta que el nuevo proceso escribe en memoria, entonces hace una copia completa.
        - Cambio de contextos
            - Como se inicia el cambio de contexto por el sistema operativo y el hardware que hay debajo
    - [ ] [Hilos en C++ (Serie - 10 videos)](https://www.youtube.com/playlist?list=PL5jc9xFGsL8E12so1wlMS0r0hTQoJL74M)
    - [ ] Concurrencia en Python (videos):
        - [ ] [Series pequeñas acerca de hilos](https://www.youtube.com/playlist?list=PL1H1sBF1VAKVMONJWJkmUh6_p8g4F2oy1)
        - [ ] [Hilos en Python](https://www.youtube.com/watch?v=Bs7vPNbB9JM)
        - [ ] [Entendiendo GIL en Python (2010)](https://www.youtube.com/watch?v=Obt-vMVdM8s)
            - [Referencia](http://www.dabeaz.com/GIL)
        - [ ] [David Beazley - Concurrencia en Python desde el principio: LIVE! - PyCon 2015](https://www.youtube.com/watch?v=MCs5OvhV9S4)
        - [ ] [Keynote David Beazley - Temas interesantes (Python Asyncio)](https://www.youtube.com/watch?v=ZzfHjytDceU)
        - [ ] [Mutex en Python](https://www.youtube.com/watch?v=0zaPs8OtyKY)

- ### Artículos y publicaciones
    - Estos provienen de Google y otros muy conocidos.
    - Leerlos de principio a fin, tratando de comprenderlos complementamente, quizás te lleve más tiempo del que puedas disponer. Te recomiendo que seas selectivo con los artículos y sus secciones.
    - [ ] [1978: Comunicación en procesos secuenciales](http://spinroot.com/courses/summer/Papers/hoare_1978.pdf)
        - [Implementación en GO](https://godoc.org/github.com/thomas11/csp)
        - [Te gustan los artículos clásicos?](https://www.cs.cmu.edu/~crary/819-f09/)
    - [ ] [2003: El sistema de archivos de Google](http://static.googleusercontent.com/media/research.google.com/en//archive/gfs-sosp2003.pdf)
        - Reemplazado por Colossus en 2012
    - [ ] [2004: MapReduce: Procesamiento de datos simplificado en grandes clusters]( http://static.googleusercontent.com/media/research.google.com/en//archive/mapreduce-osdi04.pdf)
        - casi reemplazado por Cloud Dataflow?
    - [ ] [2007: Lo que cualquier programador debe saber acerca de la memoria (bastante extenso, el autor recomienda saltarse algunas secciones)](https://www.akkadia.org/drepper/cpumemory.pdf)
    - [ ] [2012: Colossus de Google](https://www.wired.com/2012/07/google-colossus/)
        - Publicaciones no disponible
    - [ ] 2012: AddressSanitizer: Un sanity check muy rápido para direcciones:
        - [Publicación](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/37752.pdf)
        - [Video](https://www.usenix.org/conference/atc12/technical-sessions/presentation/serebryany)
    - [ ] 2013: Spanner: La base de datos distribuida de Google:
        - [Publicación](http://static.googleusercontent.com/media/research.google.com/en//archive/spanner-osdi2012.pdf)
        - [Video](https://www.usenix.org/node/170855)
    - [ ] [2014: Machine Learning: El alto tipo de interés de la deuda tecnológica (The High-Interest Credit Card of Technical Debt)](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43146.pdf)
    - [ ] [2015: Líneas de ejecución continuas en Google](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43790.pdf)
    - [ ] [2015: Alta disponibilidad a gran escala: Construyendo la infraestructura de datos para los anuncios y publicidad de Google](https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/44686.pdf)
    - [ ] [2015: TensorFlow: Machine Learning a gran escala en sistemas distribuidos heterogéneos](http://download.tensorflow.org/paper/whitepaper2015.pdf )
    - [ ] [2015: Como los desarrolladores buscan código: Un caso de estudio](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43835.pdf)
    - [ ] [2016: Borg, Omega, y Kubernetes](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/44843.pdf)

- ### Testing
    - Abarcar / Cubrir:
        - Como funciona el testing
        - Que son mocks de objetos
        - Que son tests de integracion
        - Que es inyección de dependencias
    - [ ] [Testing de Software Ágil con James Bach (video)](https://www.youtube.com/watch?v=SAhJf36_u5U)
    - [ ] [Artículo de James Bach acerca de Testing de Software (video)](https://www.youtube.com/watch?v=ILkT_HV9DVU)
    - [ ] [Steve Freeman - Desarrollo conducido por tests (Test-Driven Development, TDD) - Eso no fue lo que quisimos decir (video)](https://vimeo.com/83960706)
        - [Diapositivas](http://gotocon.com/dl/goto-berlin-2013/slides/SteveFreeman_TestDrivenDevelopmentThatsNotWhatWeMeant.pdf)
    - [ ] [TDD está muerto. Larga vida al testing.](http://david.heinemeierhansson.com/2014/tdd-is-dead-long-live-testing.html)
    - [ ] [TDD está muerto? (video)](https://www.youtube.com/watch?v=z9quxZsLcfo)
    - [ ] [Series (152 videos) - No todos son necesarios (video)](https://www.youtube.com/watch?v=nzJapzxH_rE&list=PLAwxTw4SYaPkWVHeC_8aSIbSxE_NXI76g)
    - [ ] [TDD para Web con Python](http://www.obeythetestinggoat.com/pages/book.html#toc)
    - [ ] Inyeccion de dependencias:
        - [ ] [Video](https://www.youtube.com/watch?v=IKD2-MAkXyQ)
        - [ ] [Tao del Testing](http://jasonpolites.github.io/tao-of-testing/ch3-1.1.html)
    - [ ] [Como escribir tests](http://jasonpolites.github.io/tao-of-testing/ch4-1.1.html)

- ### Planificador
    - En el sistema operativo, como funciona
    - Puede ser extraído de videos acerca de sistemas operativos

- ### Implementar rutinas del sistema
    - Entender que hay debajo de las APIs de programación que utilizas
    - Las puedes implementar?

- ### Búsqueda de strings y manipulación
    - [ ] [Sedgewick - Array de sufijos (video)](https://www.youtube.com/watch?v=HKPrVm5FWvg)
    - [ ] [Sedgewick - Búsqueda de substrings (videos)](https://www.youtube.com/watch?v=2LvvVFCEIv8&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=5)
        - [ ] [1. Introducción a la búsqueda de substrings](https://www.youtube.com/watch?v=2LvvVFCEIv8&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=5)
        - [ ] [2. Búsqueda de substrings por fuerza bruta](https://www.youtube.com/watch?v=CcDXwIGEXYU&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=4)
        - [ ] [3. Knuth-Morris Pratt](https://www.youtube.com/watch?v=n-7n-FDEWzc&index=3&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66)
        - [ ] [4. Boyer-Moore](https://www.youtube.com/watch?v=fI7Ch6pZXfM&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=2)
        - [ ] [5. Rabin-Karp](https://www.youtube.com/watch?v=QzI0p6zDjK4&index=1&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66)
    - [ ] [Búsqueda en texto por patrón (video)](https://www.coursera.org/learn/data-structures/lecture/tAfHI/search-pattern-in-text)
    
    Si necesitas más detalles acerca de este tema, ve a la sección "String Matching" en [Información adicional en algunos temas](#informacion-adicional-en-algunos-temas)

---

## System Design, Scalability, Data Handling
- **You can expect system design questions if you have 4+ years of experience.**
- Scalability and System Design are very large topics with many topics and resources, since 
      there is a lot to consider when designing a software/hardware system that can scale. 
      Expect to spend quite a bit of time on this.
- Considerations from Yegge:
    - scalability
        - Distill large data sets to single values
        - Transform one data set to another
        - Handling obscenely large amounts of data
    - system design
        - features sets
        - interfaces
        - class hierarchies
        - designing a system under certain constraints
        - simplicity and robustness
        - tradeoffs
        - performance analysis and optimization
- [ ] **START HERE**: [System Design from HiredInTech](http://www.hiredintech.com/system-design/)
- [ ] [How Do I Prepare To Answer Design Questions In A Technical Inverview?](https://www.quora.com/How-do-I-prepare-to-answer-design-questions-in-a-technical-interview?redirected_qid=1500023)
- [ ] [8 Things You Need to Know Before a System Design Interview](http://blog.gainlo.co/index.php/2015/10/22/8-things-you-need-to-know-before-system-design-interviews/)
- [ ] [Algorithm design](http://www.hiredintech.com/algorithm-design/)
- [ ] [Database Normalization - 1NF, 2NF, 3NF and 4NF (video)](https://www.youtube.com/watch?v=UrYLYV7WSHM)
- [ ] [System Design Interview](https://github.com/checkcheckzz/system-design-interview) - There are a lot of resources in this one. Look through the articles and examples. I put some of them below.
- [ ] [How to ace a systems design interview](http://www.palantir.com/2011/10/how-to-rock-a-systems-design-interview/)
- [ ] [Numbers Everyone Should Know](http://everythingisdata.wordpress.com/2009/10/17/numbers-everyone-should-know/)
- [ ] [How long does it take to make a context switch?](http://blog.tsunanet.net/2010/11/how-long-does-it-take-to-make-context.html)
- [ ] [Transactions Across Datacenters (video)](https://www.youtube.com/watch?v=srOgpXECblk)
- [ ] [A plain English introduction to CAP Theorem](http://ksat.me/a-plain-english-introduction-to-cap-theorem/)
- [ ] Paxos Consensus algorithm:
    - [short video](https://www.youtube.com/watch?v=s8JqcZtvnsM)
    - [extended video with use case and multi-paxos](https://www.youtube.com/watch?v=JEpsBg0AO6o)
    - [paper](http://research.microsoft.com/en-us/um/people/lamport/pubs/paxos-simple.pdf)
- [ ] [Consistent Hashing](http://www.tom-e-white.com/2007/11/consistent-hashing.html)
- [ ] [NoSQL Patterns](http://horicky.blogspot.com/2009/11/nosql-patterns.html)
- [ ] Scalability:
    - [ ] [Great overview (video)](https://www.youtube.com/watch?v=-W9F__D3oY4)
    - [ ] Short series:
        - [Clones](http://www.lecloud.net/post/7295452622/scalability-for-dummies-part-1-clones)
        - [Database](http://www.lecloud.net/post/7994751381/scalability-for-dummies-part-2-database)
        - [Cache](http://www.lecloud.net/post/9246290032/scalability-for-dummies-part-3-cache)
        - [Asynchronism](http://www.lecloud.net/post/9699762917/scalability-for-dummies-part-4-asynchronism)
    - [ ] [Scalable Web Architecture and Distributed Systems](http://www.aosabook.org/en/distsys.html)
    - [ ] [Fallacies of Distributed Computing Explained](https://pages.cs.wisc.edu/~zuyu/files/fallacies.pdf)
    - [ ] [Pragmatic Programming Techniques](http://horicky.blogspot.com/2010/10/scalable-system-design-patterns.html)
        - [extra: Google Pregel Graph Processing](http://horicky.blogspot.com/2010/07/google-pregel-graph-processing.html)
    - [ ] [Jeff Dean - Building Software Systems At Google and Lessons Learned (video)](https://www.youtube.com/watch?v=modXC5IWTJI)
    - [ ] [Introduction to Architecting Systems for Scale](http://lethain.com/introduction-to-architecting-systems-for-scale/)
    - [ ] [Scaling mobile games to a global audience using App Engine and Cloud Datastore (video)](https://www.youtube.com/watch?v=9nWyWwY2Onc)
    - [ ] [How Google Does Planet-Scale Engineering for Planet-Scale Infra (video)](https://www.youtube.com/watch?v=H4vMcD7zKM0)
    - [ ] [The Importance of Algorithms](https://www.topcoder.com/community/data-science/data-science-tutorials/the-importance-of-algorithms/)
    - [ ] [Sharding](http://highscalability.com/blog/2009/8/6/an-unorthodox-approach-to-database-design-the-coming-of-the.html)
    - [ ] [Scale at Facebook (2009)](https://www.infoq.com/presentations/Scale-at-Facebook)
    - [ ] [Scale at Facebook (2012), "Building for a Billion Users" (video)](https://www.youtube.com/watch?v=oodS71YtkGU)
    - [ ] [Engineering for the Long Game - Astrid Atkinson Keynote(video)](https://www.youtube.com/watch?v=p0jGmgIrf_M&list=PLRXxvay_m8gqVlExPC5DG3TGWJTaBgqSA&index=4)
    - [ ] [7 Years Of YouTube Scalability Lessons In 30 Minutes](http://highscalability.com/blog/2012/3/26/7-years-of-youtube-scalability-lessons-in-30-minutes.html)
        - [video](https://www.youtube.com/watch?v=G-lGCC4KKok)
    - [ ] [How PayPal Scaled To Billions Of Transactions Daily Using Just 8VMs](http://highscalability.com/blog/2016/8/15/how-paypal-scaled-to-billions-of-transactions-daily-using-ju.html)
    - [ ] [How to Remove Duplicates in Large Datasets](https://blog.clevertap.com/how-to-remove-duplicates-in-large-datasets/)
    - [ ] [A look inside Etsy's scale and engineering culture with Jon Cowie (video)](https://www.youtube.com/watch?v=3vV4YiqKm1o)
    - [ ] [What Led Amazon to its Own Microservices Architecture](http://thenewstack.io/led-amazon-microservices-architecture/)
    - [ ] [To Compress Or Not To Compress, That Was Uber's Question](https://eng.uber.com/trip-data-squeeze/)
    - [ ] [Asyncio Tarantool Queue, Get In The Queue](http://highscalability.com/blog/2016/3/3/asyncio-tarantool-queue-get-in-the-queue.html)
    - [ ] [When Should Approximate Query Processing Be Used?](http://highscalability.com/blog/2016/2/25/when-should-approximate-query-processing-be-used.html)
    - [ ] [Google's Transition From Single Datacenter, To Failover, To A Native Multihomed Architecture]( http://highscalability.com/blog/2016/2/23/googles-transition-from-single-datacenter-to-failover-to-a-n.html)
    - [ ] [Spanner](http://highscalability.com/blog/2012/9/24/google-spanners-most-surprising-revelation-nosql-is-out-and.html)
    - [ ] [Egnyte Architecture: Lessons Learned In Building And Scaling A Multi Petabyte Distributed System](http://highscalability.com/blog/2016/2/15/egnyte-architecture-lessons-learned-in-building-and-scaling.html)
    - [ ] [Machine Learning Driven Programming: A New Programming For A New World](http://highscalability.com/blog/2016/7/6/machine-learning-driven-programming-a-new-programming-for-a.html)
    - [ ] [The Image Optimization Technology That Serves Millions Of Requests Per Day](http://highscalability.com/blog/2016/6/15/the-image-optimization-technology-that-serves-millions-of-re.html)
    - [ ] [A Patreon Architecture Short](http://highscalability.com/blog/2016/2/1/a-patreon-architecture-short.html)
    - [ ] [Tinder: How Does One Of The Largest Recommendation Engines Decide Who You'll See Next?](http://highscalability.com/blog/2016/1/27/tinder-how-does-one-of-the-largest-recommendation-engines-de.html)
    - [ ] [Design Of A Modern Cache](http://highscalability.com/blog/2016/1/25/design-of-a-modern-cache.html)
    - [ ] [Live Video Streaming At Facebook Scale](http://highscalability.com/blog/2016/1/13/live-video-streaming-at-facebook-scale.html)
    - [ ] [A Beginner's Guide To Scaling To 11 Million+ Users On Amazon's AWS](http://highscalability.com/blog/2016/1/11/a-beginners-guide-to-scaling-to-11-million-users-on-amazons.html)
    - [ ] [How Does The Use Of Docker Effect Latency?](http://highscalability.com/blog/2015/12/16/how-does-the-use-of-docker-effect-latency.html)
    - [ ] [Does AMP Counter An Existential Threat To Google?](http://highscalability.com/blog/2015/12/14/does-amp-counter-an-existential-threat-to-google.html)
    - [ ] [A 360 Degree View Of The Entire Netflix Stack](http://highscalability.com/blog/2015/11/9/a-360-degree-view-of-the-entire-netflix-stack.html)
    - [ ] [Latency Is Everywhere And It Costs You Sales - How To Crush It](http://highscalability.com/latency-everywhere-and-it-costs-you-sales-how-crush-it)
    - [ ] [Serverless (very long, just need the gist)](http://martinfowler.com/articles/serverless.html)
    - [ ] [What Powers Instagram: Hundreds of Instances, Dozens of Technologies](http://instagram-engineering.tumblr.com/post/13649370142/what-powers-instagram-hundreds-of-instances)
    - [ ] [Cinchcast Architecture - Producing 1,500 Hours Of Audio Every Day](http://highscalability.com/blog/2012/7/16/cinchcast-architecture-producing-1500-hours-of-audio-every-d.html)
    - [ ] [Justin.Tv's Live Video Broadcasting Architecture](http://highscalability.com/blog/2010/3/16/justintvs-live-video-broadcasting-architecture.html)
    - [ ] [Playfish's Social Gaming Architecture - 50 Million Monthly Users And Growing](http://highscalability.com/blog/2010/9/21/playfishs-social-gaming-architecture-50-million-monthly-user.html)
    - [ ] [TripAdvisor Architecture - 40M Visitors, 200M Dynamic Page Views, 30TB Data](http://highscalability.com/blog/2011/6/27/tripadvisor-architecture-40m-visitors-200m-dynamic-page-view.html)
    - [ ] [PlentyOfFish Architecture](http://highscalability.com/plentyoffish-architecture)
    - [ ] [Salesforce Architecture - How They Handle 1.3 Billion Transactions A Day](http://highscalability.com/blog/2013/9/23/salesforce-architecture-how-they-handle-13-billion-transacti.html)
    - [ ] [ESPN's Architecture At Scale - Operating At 100,000 Duh Nuh Nuhs Per Second](http://highscalability.com/blog/2013/11/4/espns-architecture-at-scale-operating-at-100000-duh-nuh-nuhs.html)
    - [ ] See "Messaging, Serialization, and Queueing Systems" way below for info on some of the technologies that can glue services together
    - [ ] Twitter:
        - [O'Reilly MySQL CE 2011: Jeremy Cole, "Big and Small Data at @Twitter" (video)](https://www.youtube.com/watch?v=5cKTP36HVgI)
        - [Timelines at Scale](https://www.infoq.com/presentations/Twitter-Timeline-Scalability)
    - For even more, see "Mining Massive Datasets" video series in the Video Series section.
- [ ] Practicing the system design process: Here are some ideas to try working through on paper, each with some documentation on how it was handled in the real world:
    - review: [System Design from HiredInTech](http://www.hiredintech.com/system-design/)
    - [cheat sheet](https://github.com/jwasham/google-interview-university/blob/master/extras/cheat%20sheets/system-design.pdf)
    - flow:
        1. Understand the problem and scope:
            - define the use cases, with interviewer's help
            - suggest additional features
            - remove items that interviewer deems out of scope
            - assume high availability is required, add as a use case
        2. Think about constraints:
            - ask how many requests per month
            - ask how many requests per second (they may volunteer it or make you do the math)
            - estimate reads vs. writes percentage
            - keep 80/20 rule in mind when estimating
            - how much data written per second
            - total storage required over 5 years
            - how much data read per second
        3. Abstract design:
            - layers (service, data, caching)
            - infrastructure: load balancing, messaging
            - rough overview of any key algorithm that drives the service
            - consider bottlenecks and determine solutions
    - Exercises:
        - [Design a CDN network: old article](http://repository.cmu.edu/cgi/viewcontent.cgi?article=2112&context=compsci)
        - [Design a random unique ID generation system](https://blog.twitter.com/2010/announcing-snowflake)
        - [Design an online multiplayer card game](http://www.indieflashblog.com/how-to-create-an-asynchronous-multiplayer-game.html)
        - [Design a key-value database](http://www.slideshare.net/dvirsky/introduction-to-redis)
        - [Design a function to return the top k requests during past time interval]( https://icmi.cs.ucsb.edu/research/tech_reports/reports/2005-23.pdf)
        - [Design a picture sharing system](http://highscalability.com/blog/2011/12/6/instagram-architecture-14-million-users-terabytes-of-photos.html)
        - [Design a recommendation system](http://ijcai13.org/files/tutorial_slides/td3.pdf)
        - [Design a URL-shortener system: copied from above](http://www.hiredintech.com/system-design/the-system-design-process/)
        - [Design a cache system](https://www.adayinthelifeof.nl/2011/02/06/memcache-internals/)

---

## Final Review

    This section will have shorter videos that can you watch pretty quickly to review most of the important concepts.
    It's nice if you want a refresher often.

- [ ] Series of 2-3 minutes short subject videos (23 videos)
    - [Videos](https://www.youtube.com/watch?v=r4r1DZcx1cM&list=PLmVb1OknmNJuC5POdcDv5oCS7_OUkDgpj&index=22)
- [ ] Series of 2-5 minutes short subject videos - Michael Sambol (18 videos):
    - [Videos](https://www.youtube.com/channel/UCzDJwLWoYCUQowF_nG3m5OQ)
- [ ] [Sedgewick Videos - Algorithms I](https://www.youtube.com/user/algorithmscourses/playlists?shelf_id=2&view=50&sort=dd)
    - [ ] [01. Union-Find](https://www.youtube.com/watch?v=8mYfZeHtdNc&list=PLe-ggMe31CTexoNYnMhbHaWhQ0dvcy43t)
    - [ ] [02. Analysis of Algorithms](https://www.youtube.com/watch?v=ZN-nFW0mEpg&list=PLe-ggMe31CTf0_bkOhh7sa5uqeppp3Sr0)
    - [ ] [03. Stacks and Queues](https://www.youtube.com/watch?v=TIC1gappbP8&list=PLe-ggMe31CTe-9jhnj3P_3mmrCh0A7iHh)
    - [ ] [04. Elementary Sorts](https://www.youtube.com/watch?v=CD2AL6VO0ak&list=PLe-ggMe31CTe_5WhGV0F--7CK8MoRUqBd)
    - [ ] [05. Mergesort](https://www.youtube.com/watch?v=4nKwesx_c8E&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9)
    - [ ] [06. Quicksort](https://www.youtube.com/watch?v=5M5A7qPWk84&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1)
    - [ ] [07. Priority Queues](https://www.youtube.com/watch?v=G9TMe0KC0w0&list=PLe-ggMe31CTducy9LDiGVkdSv0NfiRwn5)
    - [ ] [08. Elementary Symbol Tables](https://www.youtube.com/watch?v=up_nlilw3ac&list=PLe-ggMe31CTc3a8nKRDxFZZrWrBvkc9SG)
    - [ ] [09. Balanced Search Trees](https://www.youtube.com/watch?v=qC1BLLPK_5w&list=PLe-ggMe31CTf7jHH_mFT50kayjCEA6Rhu)
    - [ ] [10. Geometric Applications of BST](https://www.youtube.com/watch?v=Wl30aGAp6TY&list=PLe-ggMe31CTdBsRIw0hXln0hilRs-DqAx)
    - [ ] [11. Hash Tables](https://www.youtube.com/watch?v=QA8fJGO-i9o&list=PLe-ggMe31CTcKxIRGqqThMts2eHtSrf11)
- [ ] [Sedgewick Videos - Algorithms II](https://www.youtube.com/user/algorithmscourses/playlists?flow=list&shelf_id=3&view=50)
    - [ ] [01. Undirected Graphs](https://www.youtube.com/watch?v=GmVhD-mmMBg&list=PLe-ggMe31CTc0zDzANxl4I2MhMoRVlbRM)
    - [ ] [02. Directed Graphs](https://www.youtube.com/watch?v=_z-JsVaUS40&list=PLe-ggMe31CTcEwaU8a1P1Gd95A77HV85K)
    - [ ] [03. Minimum Spanning Trees](https://www.youtube.com/watch?v=t8fNk9tfVYY&list=PLe-ggMe31CTceUZxDesGfHGLE7kcSafqj)
    - [ ] [04. Shortest Paths](https://www.youtube.com/watch?v=HoGSiB7tSeI&list=PLe-ggMe31CTePpG3jbeOTsnGUGZDKxgZD)
    - [ ] [05. Maximum Flow](https://www.youtube.com/watch?v=rYIKlFstBqE&list=PLe-ggMe31CTduQ68XQ-sVj32wYJIspTma)
    - [ ] [06. Radix Sorts](https://www.youtube.com/watch?v=HKPrVm5FWvg&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53)
    - [ ] [07. Tries](https://www.youtube.com/watch?v=00YaFPcC65g&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ)
    - [ ] [08. Substring Search](https://www.youtube.com/watch?v=QzI0p6zDjK4&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66)
    - [ ] [09. Regular Expressions](https://www.youtube.com/watch?v=TQWNQsJSPnk&list=PLe-ggMe31CTetTlJWouM42fyttyKPgSDh)
    - [ ] [10. Data Compression](https://www.youtube.com/watch?v=at9tjpxcBh8&list=PLe-ggMe31CTciifRRo6yY0Yt0mzgIXXVZ)
    - [ ] [11. Reductions](https://www.youtube.com/watch?v=Ow5x-ooMGv8&list=PLe-ggMe31CTe_yliW5vc3yO-dj1LSSDyF)
    - [ ] [12. Linear Programming](https://www.youtube.com/watch?v=rWhcLyiLZLA&list=PLe-ggMe31CTdy6dKzMgkWFuTTN1H8B-E1)
    - [ ] [13. Intractability](https://www.youtube.com/watch?v=6qcaaDp4cdQ&list=PLe-ggMe31CTcZCjluBHw53e_ek2k9Kn-S)

---

## Coding Question Practice

Now that you know all the computer science topics above, it's time to practice answering coding problems.

**Coding question practice is not about memorizing answers to programming problems.**

Why you need to practice doing programming problems:
- problem recognition, and where the right data structures and algorithms fit in
- gathering requirements for the problem
- talking your way through the problem like you will in the interview
- coding on a whiteboard or paper, not a computer
- coming up with time and space complexity for your solutions
- testing your solutions

There is a great intro for methodical, communicative problem solving in an interview. You'll get this from the programming
interview books, too, but I found this outstanding:
[Algorithm design canvas](http://www.hiredintech.com/algorithm-design/)

[My Process for Coding Interview (Book) Exercises](https://googleyasheck.com/my-process-for-coding-interview-exercises/)

No whiteboard at home? That makes sense. I'm a weirdo and have a big whiteboard. Instead of a whiteboard, pick up a
large drawing pad from an art store. You can sit on the couch and practice. This is my "sofa whiteboard".
I added the pen in the photo for scale. If you use a pen, you'll wish you could erase. Gets messy quick.

![my sofa whiteboard](https://dng5l3qzreal6.cloudfront.net/2016/Oct/art_board_sm_2-1476233630368.jpg)

Supplemental:

- [Mathematics for Topcoders](https://www.topcoder.com/community/data-science/data-science-tutorials/mathematics-for-topcoders/)
- [Dynamic Programming – From Novice to Advanced](https://www.topcoder.com/community/data-science/data-science-tutorials/dynamic-programming-from-novice-to-advanced/)
- [MIT Interview Materials](https://web.archive.org/web/20160906124824/http://courses.csail.mit.edu/iap/interview/materials.php)
- [Exercises for getting better at a given language](http://exercism.io/languages)

**Read and Do Programming Problems (in this order):**

- [ ] [Programming Interviews Exposed: Secrets to Landing Your Next Job, 2nd Edition](http://www.wiley.com/WileyCDA/WileyTitle/productCd-047012167X.html)
    - answers in C, C++ and Java
- [ ] [Cracking the Coding Interview, 6th Edition](http://www.amazon.com/Cracking-Coding-Interview-6th-Programming/dp/0984782850/)
    - answers in Java

See [Book List above](#book-list)

## Coding exercises/challenges

Once you've learned your brains out, put those brains to work.
Take coding challenges every day, as many as you can.

- [ ] [How to Find a Solution](https://www.topcoder.com/community/data-science/data-science-tutorials/how-to-find-a-solution/)
- [ ] [How to Dissect a Topcoder Problem Statement](https://www.topcoder.com/community/data-science/data-science-tutorials/how-to-dissect-a-topcoder-problem-statement/)

Challenge sites:
- [LeetCode](https://leetcode.com/)
- [TopCoder](https://www.topcoder.com/)
- [Project Euler (math-focused)](https://projecteuler.net/index.php?section=problems)
- [Codewars](http://www.codewars.com)
- [HackerRank](https://www.hackerrank.com/)
- [Codility](https://codility.com/programmers/)
- [InterviewCake](https://www.interviewcake.com/)
- [Geeks for Geeks](http://www.geeksforgeeks.org/)
- [InterviewBit](https://www.interviewbit.com/invite/icjf)

Maybe:
- [Mock interviewers from big companies](http://www.gainlo.co/)

## Once you're closer to the interview

- [ ] Cracking The Coding Interview Set 2 (videos):
    - [Cracking The Code Interview](https://www.youtube.com/watch?v=4NIb9l3imAo)
    - [Cracking the Coding Interview - Fullstack Speaker Series](https://www.youtube.com/watch?v=Eg5-tdAwclo)
    - [Ask Me Anything: Gayle Laakmann McDowell (author of Cracking the Coding Interview)](https://www.youtube.com/watch?v=1fqxMuPmGak)

## Your Resume

- [Ten Tips for a (Slightly) Less Awful Resume](http://steve-yegge.blogspot.co.uk/2007_09_01_archive.html)
- See Resume prep items in Cracking The Coding Interview and back of Programming Interviews Exposed


## Be thinking of for when the interview comes

Think of about 20 interview questions you'll get, along with the lines of the items below. Have 2-3 answers for each.
Have a story, not just data, about something you accomplished.

- Why do you want this job?
- What's a tough problem you've solved?
- Biggest challenges faced?
- Best/worst designs seen?
- Ideas for improving an existing Google product.
- How do you work best, as an individual and as part of a team?
- Which of your skills or experiences would be assets in the role and why?
- What did you most enjoy at [job x / project y]?
- What was the biggest challenge you faced at [job x / project y]?
- What was the hardest bug you faced at [job x / project y]?
- What did you learn at [job x / project y]?
- What would you have done better at [job x / project y]?

## Have questions for the interviewer

    Some of mine (I already may know answer to but want their opinion or team perspective):

- How large is your team?
- What does your dev cycle look like? Do you do waterfall/sprints/agile?
- Are rushes to deadlines common? Or is there flexibility?
- How are decisions made in your team?
- How many meetings do you have per week?
- Do you feel your work environment helps you concentrate?
- What are you working on?
- What do you like about it?
- What is the work life like?

## Once You've Got The Job

Congratulations!

- [10 things I wish I knew on my first day at Google](https://medium.com/@moonstorming/10-things-i-wish-i-knew-on-my-first-day-at-google-107581d87286#.livxn7clw)

Keep learning.

You're never really done.

---

    *****************************************************************************************************
    *****************************************************************************************************

    Everything below this point is optional. These are my recommendations, not Google's.
    By studying these, you'll get greater exposure to more CS concepts, and will be better prepared for
    any software engineering job. You'll be a much more well-rounded software engineer.

    *****************************************************************************************************
    *****************************************************************************************************

---

## Additional Books

- [ ] [The Unix Programming Environment](http://product.half.ebay.com/The-UNIX-Programming-Environment-by-Brian-W-Kernighan-and-Rob-Pike-1983-Other/54385&tg=info)
    - an oldie but a goodie
- [ ] [The Linux Command Line: A Complete Introduction](https://www.amazon.com/dp/1593273894/)
    - a modern option
- [ ] [TCP/IP Illustrated Series](https://en.wikipedia.org/wiki/TCP/IP_Illustrated)
- [ ] [Head First Design Patterns](https://www.amazon.com/gp/product/0596007124/)
    - a gentle introduction to design patterns
- [ ] [Design Patterns: Elements of Reusable Object-Oriente​d Software](https://www.amazon.com/Design-Patterns-Elements-Reusable-Object-Oriented/dp/0201633612)
    - aka the "Gang Of Four" book, or GOF
    - the canonical design patterns book
- [ ] [Site Reliability Engineering](https://landing.google.com/sre/book.html)
    - [Site Reliability Engineering: How Google Runs Production Systems](https://landing.google.com/sre/)
- [ ] [UNIX and Linux System Administration Handbook, 4th Edition](https://www.amazon.com/UNIX-Linux-System-Administration-Handbook/dp/0131480057/)

## Additional Learning

- ### Dynamic Programming
    - This subject can be pretty difficult, as each DP soluble problem must be defined as a recursion relation, and coming up with it can be tricky.
    - I suggest looking at many examples of DP problems until you have a solid understanding of the pattern involved.
    - [ ] Videos:
        - the Skiena videos can be hard to follow since he sometimes uses the whiteboard, which is too small to see
        - [ ] [Skiena: CSE373 2012 - Lecture 19 - Introduction to Dynamic Programming (video)](https://youtu.be/Qc2ieXRgR0k?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1718)
        - [ ] [Skiena: CSE373 2012 - Lecture 20 - Edit Distance (video)](https://youtu.be/IsmMhMdyeGY?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=2749)
        - [ ] [Skiena: CSE373 2012 - Lecture 21 - Dynamic Programming Examples (video)](https://youtu.be/o0V9eYF4UI8?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=406)
        - [ ] [Skiena: CSE373 2012 - Lecture 22 - Applications of Dynamic Programming (video)](https://www.youtube.com/watch?v=dRbMC1Ltl3A&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=22)
        - [ ] [Simonson: Dynamic Programming 0 (starts at 59:18) (video)](https://youtu.be/J5aJEcOr6Eo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3558)
        - [ ] [Simonson: Dynamic Programming I - Lecture 11 (video)](https://www.youtube.com/watch?v=0EzHjQ_SOeU&index=11&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm)
        - [ ] [Simonson: Dynamic programming II - Lecture 12 (video)](https://www.youtube.com/watch?v=v1qiRwuJU7g&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=12)
        - [ ] List of individual DP problems (each is short):
            [Dynamic Programming (video)](https://www.youtube.com/playlist?list=PLrmLmBdmIlpsHaNTPP_jHHDx_os9ItYXr)
    - [ ] Yale Lecture notes:
        - [ ] [Dynamic Programming](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#dynamicProgramming)
    - [ ] Coursera:
        - [ ] [The RNA secondary structure problem (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/80RrW/the-rna-secondary-structure-problem)
        - [ ] [A dynamic programming algorithm (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/PSonq/a-dynamic-programming-algorithm)
        - [ ] [Illustrating the DP algorithm (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/oUEK2/illustrating-the-dp-algorithm)
        - [ ] [Running time of the DP algorithm (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/nfK2r/running-time-of-the-dp-algorithm)
        - [ ] [DP vs. recursive implementation (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/M999a/dp-vs-recursive-implementation)
        - [ ] [Global pairwise sequence alignment (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/UZ7o6/global-pairwise-sequence-alignment)
        - [ ] [Local pairwise sequence alignment (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/WnNau/local-pairwise-sequence-alignment)

- ### Compilers
    - [ ] [How a Compiler Works in ~1 minute (video)](https://www.youtube.com/watch?v=IhC7sdYe-Jg)
    - [ ] [Harvard CS50 - Compilers (video)](https://www.youtube.com/watch?v=CSZLNYF4Klo)
    - [ ] [C++ (video)](https://www.youtube.com/watch?v=twodd1KFfGk)
    - [ ] [Understanding Compiler Optimization (C++) (video)](https://www.youtube.com/watch?v=FnGCDLhaxKU)

- ### Floating Point Numbers
    - [ ] simple 8-bit: [Representation of Floating Point Numbers - 1 (video - there is an error in calculations - see video description)](https://www.youtube.com/watch?v=ji3SfClm8TU)
    - [ ] 32 bit: [IEEE754 32-bit floating point binary (video)](https://www.youtube.com/watch?v=50ZYcZebIec)

- ### Unicode
    - [ ] [The Absolute Minimum Every Software Developer Absolutely, Positively Must Know About Unicode and Character Sets]( http://www.joelonsoftware.com/articles/Unicode.html)
    - [ ] [What Every Programmer Absolutely, Positively Needs To Know About Encodings And Character Sets To Work With Text](http://kunststube.net/encoding/)

- ### Endianness
    - [ ] [Big And Little Endian](https://www.cs.umd.edu/class/sum2003/cmsc311/Notes/Data/endian.html)
    - [ ] [Big Endian Vs Little Endian (video)](https://www.youtube.com/watch?v=JrNF0KRAlyo)
    - [ ] [Big And Little Endian Inside/Out (video)](https://www.youtube.com/watch?v=oBSuXP-1Tc0)
        - Very technical talk for kernel devs. Don't worry if most is over your head.
        - The first half is enough.

- ### Emacs and vi(m)
    - suggested by Yegge, from an old Amazon recruiting post: Familiarize yourself with a unix-based code editor
    - vi(m):
        - [Editing With vim 01 - Installation, Setup, and The Modes (video)](https://www.youtube.com/watch?v=5givLEMcINQ&index=1&list=PL13bz4SHGmRxlZVmWQ9DvXo1fEg4UdGkr)
        - [VIM Adventures](http://vim-adventures.com/)
        - set of 4 videos:
            - [The vi/vim editor - Lesson 1](https://www.youtube.com/watch?v=SI8TeVMX8pk)
            - [The vi/vim editor - Lesson 2](https://www.youtube.com/watch?v=F3OO7ZIOaJE)
            - [The vi/vim editor - Lesson 3](https://www.youtube.com/watch?v=ZYEccA_nMaI)
            - [The vi/vim editor - Lesson 4](https://www.youtube.com/watch?v=1lYD5gwgZIA)
        - [Using Vi Instead of Emacs](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Using_Vi_instead_of_Emacs)
    - emacs:
        - [Basics Emacs Tutorial (video)](https://www.youtube.com/watch?v=hbmV1bnQ-i0)
        - set of 3 (videos):
            - [Emacs Tutorial (Beginners) -Part 1- File commands, cut/copy/paste, cursor commands](https://www.youtube.com/watch?v=ujODL7MD04Q)
            - [Emacs Tutorial (Beginners) -Part 2- Buffer management, search, M-x grep and rgrep modes](https://www.youtube.com/watch?v=XWpsRupJ4II)
            - [Emacs Tutorial (Beginners) -Part 3- Expressions, Statements, ~/.emacs file and packages](https://www.youtube.com/watch?v=paSgzPso-yc)
        - [Evil Mode: Or, How I Learned to Stop Worrying and Love Emacs (video)](https://www.youtube.com/watch?v=JWD1Fpdd4Pc)
        - [Writing C Programs With Emacs](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Writing_C_programs_with_Emacs)
        - [(maybe) Org Mode In Depth: Managing Structure (video)](https://www.youtube.com/watch?v=nsGYet02bEk)

- ### Unix command line tools
    - suggested by Yegge, from an old Amazon recruiting post. I filled in the list below from good tools.
    - [ ] bash
    - [ ] cat
    - [ ] grep
    - [ ] sed
    - [ ] awk
    - [ ] curl or wget
    - [ ] sort
    - [ ] tr
    - [ ] uniq
    - [ ] [strace](https://en.wikipedia.org/wiki/Strace)
    - [ ] [tcpdump](https://danielmiessler.com/study/tcpdump/)

- ### Information theory (videos)
    - [ ] [Khan Academy](https://www.khanacademy.org/computing/computer-science/informationtheory)
    - [ ] more about Markov processes:
        - [ ] [Core Markov Text Generation](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/waxgx/core-markov-text-generation)
        - [ ] [Core Implementing Markov Text Generation](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/gZhiC/core-implementing-markov-text-generation)
        - [ ] [Project = Markov Text Generation Walk Through](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/EUjrq/project-markov-text-generation-walk-through)
    - See more in MIT 6.050J Information and Entropy series below.

- ### Parity & Hamming Code (videos)
    - [ ] [Intro](https://www.youtube.com/watch?v=q-3BctoUpHE)
    - [ ] [Parity](https://www.youtube.com/watch?v=DdMcAUlxh1M)
    - [ ] Hamming Code:
        - [Error detection](https://www.youtube.com/watch?v=1A_NcXxdoCc)
        - [Error correction](https://www.youtube.com/watch?v=JAMLuxdHH8o)
    - [ ] [Error Checking](https://www.youtube.com/watch?v=wbH2VxzmoZk)

- ### Entropy
    - also see videos below
    - make sure to watch information theory videos first
    - [ ] [Information Theory, Claude Shannon, Entropy, Redundancy, Data Compression & Bits (video)](https://youtu.be/JnJq3Py0dyM?t=176)

- ### Cryptography
    - also see videos below
    - make sure to watch information theory videos first
    - [ ] [Khan Academy Series](https://www.khanacademy.org/computing/computer-science/cryptography)
    - [ ] [Cryptography: Hash Functions](https://www.youtube.com/watch?v=KqqOXndnvic&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=30)
    - [ ] [Cryptography: Encryption](https://www.youtube.com/watch?v=9TNI2wHmaeI&index=31&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp)

- ### Compression
    - make sure to watch information theory videos first
    - [ ] Computerphile (videos):
        - [ ] [Compression](https://www.youtube.com/watch?v=Lto-ajuqW3w)
        - [ ] [Entropy in Compression](https://www.youtube.com/watch?v=M5c_RFKVkko)
        - [ ] [Upside Down Trees (Huffman Trees)](https://www.youtube.com/watch?v=umTbivyJoiI)
        - [ ] [EXTRA BITS/TRITS - Huffman Trees](https://www.youtube.com/watch?v=DV8efuB3h2g)
        - [ ] [Elegant Compression in Text (The LZ 77 Method)](https://www.youtube.com/watch?v=goOa3DGezUA)
        - [ ] [Text Compression Meets Probabilities](https://www.youtube.com/watch?v=cCDCfoHTsaU)
    - [ ] [Compressor Head videos](https://www.youtube.com/playlist?list=PLOU2XLYxmsIJGErt5rrCqaSGTMyyqNt2H)
    - [ ] [(optional) Google Developers Live: GZIP is not enough!](https://www.youtube.com/watch?v=whGwm0Lky2s)

- ### Networking
    - **if you have networking experience or want to be a systems engineer, expect questions**
    - otherwise, this is just good to know
    - [ ] [Khan Academy](https://www.khanacademy.org/computing/computer-science/internet-intro)
    - [ ] [UDP and TCP: Comparison of Transport Protocols](https://www.youtube.com/watch?v=Vdc8TCESIg8)
    - [ ] [TCP/IP and the OSI Model Explained!](https://www.youtube.com/watch?v=e5DEVa9eSN0)
    - [ ] [Packet Transmission across the Internet. Networking & TCP/IP tutorial.](https://www.youtube.com/watch?v=nomyRJehhnM)
    - [ ] [HTTP](https://www.youtube.com/watch?v=WGJrLqtX7As)
    - [ ] [SSL and HTTPS](https://www.youtube.com/watch?v=S2iBR2ZlZf0)
    - [ ] [SSL/TLS](https://www.youtube.com/watch?v=Rp3iZUvXWlM)
    - [ ] [HTTP 2.0](https://www.youtube.com/watch?v=E9FxNzv1Tr8)
    - [ ] [Video Series (21 videos)](https://www.youtube.com/playlist?list=PLEbnTDJUr_IegfoqO4iPnPYQui46QqT0j)
    - [ ] [Subnetting Demystified - Part 5 CIDR Notation](https://www.youtube.com/watch?v=t5xYI0jzOf4)

- ### Computer Security
    - [MIT (23 videos)](https://www.youtube.com/playlist?list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh)
        - [ ] [Introduction, Threat Models](https://www.youtube.com/watch?v=GqmQg-cszw4&index=1&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh)
        - [ ] [Control Hijacking Attacks](https://www.youtube.com/watch?v=6bwzNg5qQ0o&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=2)
        - [ ] [Buffer Overflow Exploits and Defenses](https://www.youtube.com/watch?v=drQyrzRoRiA&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=3)
        - [ ] [Privilege Separation](https://www.youtube.com/watch?v=6SIJmoE9L9g&index=4&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh)
        - [ ] [Capabilities](https://www.youtube.com/watch?v=8VqTSY-11F4&index=5&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh)
        - [ ] [Sandboxing Native Code](https://www.youtube.com/watch?v=VEV74hwASeU&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=6)
        - [ ] [Web Security Model](https://www.youtube.com/watch?v=chkFBigodIw&index=7&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh)
        - [ ] [Securing Web Applications](https://www.youtube.com/watch?v=EBQIGy1ROLY&index=8&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh)
        - [ ] [Symbolic Execution](https://www.youtube.com/watch?v=yRVZPvHYHzw&index=9&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh)
        - [ ] [Network Security](https://www.youtube.com/watch?v=SIEVvk3NVuk&index=11&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh)
        - [ ] [Network Protocols](https://www.youtube.com/watch?v=QOtA76ga_fY&index=12&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh)
        - [ ] [Side-Channel Attacks](https://www.youtube.com/watch?v=PuVMkSEcPiI&index=15&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh)

- ### Garbage collection
    - [ ] [Garbage collection (Java); Augmenting data str (video)](https://www.youtube.com/watch?v=StdfeXaKGEc&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=25)
    - [ ] [Compilers (video)](https://www.youtube.com/playlist?list=PLO9y7hOkmmSGTy5z6HZ-W4k2y8WXF7Bff)
    - [ ] [GC in Python (video)](https://www.youtube.com/watch?v=iHVs_HkjdmI)
    - [ ] [Deep Dive Java: Garbage Collection is Good!](https://www.infoq.com/presentations/garbage-collection-benefits)
    - [ ] [Deep Dive Python: Garbage Collection in CPython (video)](https://www.youtube.com/watch?v=P-8Z0-MhdQs&list=PLdzf4Clw0VbOEWOS_sLhT_9zaiQDrS5AR&index=3)

- ### Parallel Programming
    - [ ] [Coursera (Scala)](https://www.coursera.org/learn/parprog1/home/week/1)
    - [ ] [Efficient Python for High Performance Parallel Computing (video)](https://www.youtube.com/watch?v=uY85GkaYzBk)

- ### Messaging, Serialization, and Queueing Systems
    - [ ] [Thrift](https://thrift.apache.org/)
        - [Tutorial](http://thrift-tutorial.readthedocs.io/en/latest/intro.html)
    - [ ] [Protocol Buffers](https://developers.google.com/protocol-buffers/)
        - [Tutorials](https://developers.google.com/protocol-buffers/docs/tutorials)
    - [ ] [gRPC](http://www.grpc.io/)
        - [gRPC 101 for Java Developers (video)](https://www.youtube.com/watch?v=5tmPvSe7xXQ&list=PLcTqM9n_dieN0k1nSeN36Z_ppKnvMJoly&index=1)
    - [ ] [Redis](http://redis.io/)
        - [Tutorial](http://try.redis.io/)
    - [ ] [Amazon SQS (queue)](https://aws.amazon.com/sqs/)
    - [ ] [Amazon SNS (pub-sub)](https://aws.amazon.com/sns/)
    - [ ] [RabbitMQ](https://www.rabbitmq.com/)
        - [Get Startet](https://www.rabbitmq.com/getstarted.html)
    - [ ] [Celery](http://www.celeryproject.org/)
        - [First Steps With Celery](http://docs.celeryproject.org/en/latest/getting-started/first-steps-with-celery.html)
    - [ ] [ZeroMQ](http://zeromq.org/)
        - [Intro - Read The Manual](http://zeromq.org/intro:read-the-manual)
    - [ ] [ActiveMQ](http://activemq.apache.org/)
    - [ ] [Kafka](http://kafka.apache.org/documentation.html#introduction)
    - [ ] [MessagePack](http://msgpack.org/index.html)
    - [ ] [Avro](https://avro.apache.org/)

- ### Fast Fourier Transform
    - [ ] [An Interactive Guide To The Fourier Transform](https://betterexplained.com/articles/an-interactive-guide-to-the-fourier-transform/)
    - [ ] [What is a Fourier transform? What is it used for?](http://www.askamathematician.com/2012/09/q-what-is-a-fourier-transform-what-is-it-used-for/)
    - [ ] [What is the Fourier Transform? (video)](https://www.youtube.com/watch?v=Xxut2PN-V8Q)
    - [ ] [Divide & Conquer: FFT (video)](https://www.youtube.com/watch?v=iTMn0Kt18tg&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=4)
    - [ ] [Understanding The FFT](http://jakevdp.github.io/blog/2013/08/28/understanding-the-fft/)

- ### Bloom Filter
    - Given a Bloom filter with m bits and k hashing functions, both insertion and membership testing are O(k)
    - [Bloom Filters](https://www.youtube.com/watch?v=-SuTGoFYjZs)
    - [Bloom Filters | Mining of Massive Datasets | Stanford University](https://www.youtube.com/watch?v=qBTdukbzc78)
    - [Tutorial](http://billmill.org/bloomfilter-tutorial/)
    - [How To Write A Bloom Filter App](http://blog.michaelschmatz.com/2016/04/11/how-to-write-a-bloom-filter-cpp/)

- ### HyperLogLog
    - [How To Count A Billion Distinct Objects Using Only 1.5KB Of Memory](http://highscalability.com/blog/2012/4/5/big-data-counting-how-to-count-a-billion-distinct-objects-us.html)

- ### Locality-Sensitive Hashing
    - used to determine the similarity of documents
    - the opposite of MD5 or SHA which are used to determine if 2 documents/strings are exactly the same.
    - [Simhashing (hopefully) made simple](http://ferd.ca/simhashing-hopefully-made-simple.html)

- ### van Emde Boas Trees
    - [ ] [Divide & Conquer: van Emde Boas Trees (video)](https://www.youtube.com/watch?v=hmReJCupbNU&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=6)
    - [ ] [MIT Lecture Notes](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-046j-design-and-analysis-of-algorithms-spring-2012/lecture-notes/MIT6_046JS12_lec15.pdf)

- ### Augmented Data Structures
    - [ ] [CS 61B Lecture 39: Augmenting Data Structures](https://youtu.be/zksIj9O8_jc?list=PL4BBB74C7D2A1049C&t=950)

- ### Tries
    - Note there are different kinds of tries. Some have prefixes, some don't, and some use string instead of bits
        to track the path.
    - I read through code, but will not implement.
    - [ ] [Sedgewick - Tries (3 videos)](https://www.youtube.com/playlist?list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ)
        - [ ] [1. R Way Tries](https://www.youtube.com/watch?v=buq2bn8x3Vo&index=3&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ)
        - [ ] [2. Ternary Search Tries](https://www.youtube.com/watch?v=LelV-kkYMIg&index=2&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ)
        - [ ] [3. Character Based Operations](https://www.youtube.com/watch?v=00YaFPcC65g&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ&index=1)
    - [ ] [Notes on Data Structures and Programming Techniques](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Tries)
    - [ ] Short course videos:
        - [ ] [Introduction To Tries (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/08Xyf/core-introduction-to-tries)
        - [ ] [Performance Of Tries (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/PvlZW/core-performance-of-tries)
        - [ ] [Implementing A Trie (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/DFvd3/core-implementing-a-trie)
    - [ ] [The Trie: A Neglected Data Structure](https://www.toptal.com/java/the-trie-a-neglected-data-structure)
    - [ ] [TopCoder - Using Tries](https://www.topcoder.com/community/data-science/data-science-tutorials/using-tries/)
    - [ ] [Stanford Lecture (real world use case) (video)](https://www.youtube.com/watch?v=TJ8SkcUSdbU)
    - [ ] [MIT, Advanced Data Structures, Strings (can get pretty obscure about halfway through)](https://www.youtube.com/watch?v=NinWEPPrkDQ&index=16&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf)

- ### Balanced search trees
    - Know least one type of balanced binary tree (and know how it's implemented):
    - "Among balanced search trees, AVL and 2/3 trees are now passé, and red-black trees seem to be more popular.
        A particularly interesting self-organizing data structure is the splay tree, which uses rotations
        to move any accessed key to the root." - Skiena
    - Of these, I chose to implement a splay tree. From what I've read, you won't implement a
        balanced search tree in your interview. But I wanted exposure to coding one up
        and let's face it, splay trees are the bee's knees. I did read a lot of red-black tree code.
        - splay tree: insert, search, delete functions
        If you end up implementing red/black tree try just these:
        - search and insertion functions, skipping delete
    - I want to learn more about B-Tree since it's used so widely with very large data sets.
    - [ ] [Self-balancing binary search tree](https://en.wikipedia.org/wiki/Self-balancing_binary_search_tree)

    - [ ] **AVL trees**
        - In practice:
            From what I can tell, these aren't used much in practice, but I could see where they would be:
            The AVL tree is another structure supporting O(log n) search, insertion, and removal. It is more rigidly
            balanced than red–black trees, leading to slower insertion and removal but faster retrieval. This makes it
            attractive for data structures that may be built once and loaded without reconstruction, such as language
            dictionaries (or program dictionaries, such as the opcodes of an assembler or interpreter).
        - [ ] [MIT AVL Trees / AVL Sort (video)](https://www.youtube.com/watch?v=FNeL18KsWPc&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=6)
        - [ ] [AVL Trees (video)](https://www.coursera.org/learn/data-structures/lecture/Qq5E0/avl-trees)
        - [ ] [AVL Tree Implementation (video)](https://www.coursera.org/learn/data-structures/lecture/PKEBC/avl-tree-implementation)
        - [ ] [Split And Merge](https://www.coursera.org/learn/data-structures/lecture/22BgE/split-and-merge)

    - [ ] **Splay trees**
        - In practice:
            Splay trees are typically used in the implementation of caches, memory allocators, routers, garbage collectors,
            data compression, ropes (replacement of string used for long text strings), in Windows NT (in the virtual memory,
            networking and file system code) etc.
        - [ ] [CS 61B: Splay Trees (video)](https://www.youtube.com/watch?v=Najzh1rYQTo&index=23&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd)
        - [ ] MIT Lecture: Splay Trees:
            - Gets very mathy, but watch the last 10 minutes for sure.
            - [Video](https://www.youtube.com/watch?v=QnPl_Y6EqMo)

    - [ ] **Red/black trees**
        - these are a translation of a 2-3 tree (see below)
        - In practice:
            Red–black trees offer worst-case guarantees for insertion time, deletion time, and search time.
            Not only does this make them valuable in time-sensitive applications such as real-time applications,
            but it makes them valuable building blocks in other data structures which provide worst-case guarantees;
            for example, many data structures used in computational geometry can be based on red–black trees, and
            the Completely Fair Scheduler used in current Linux kernels uses red–black trees. In the version 8 of Java,
            the Collection HashMap has been modified such that instead of using a LinkedList to store identical elements with poor
            hashcodes, a Red-Black tree is used.
        - [ ] [Aduni - Algorithms - Lecture 4 (link jumps to starting point) (video)](https://youtu.be/1W3x0f_RmUo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3871)
        - [ ] [Aduni - Algorithms - Lecture 5 (video)](https://www.youtube.com/watch?v=hm2GHwyKF1o&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=5)
        - [ ] [Black Tree](https://en.wikipedia.org/wiki/Red%E2%80%93black_tree)
        - [ ] [An Introduction To Binary Search And Red Black Tree](https://www.topcoder.com/community/data-science/data-science-tutorials/an-introduction-to-binary-search-and-red-black-trees/)

    - [ ] **2-3 search trees**
        - In practice:
            2-3 trees have faster inserts at the expense of slower searches (since height is more compared to AVL trees).
        - You would use 2-3 tree very rarely because its implementation involves different types of nodes. Instead, people use Red Black trees.
        - [ ] [23-Tree Intuition and Definition (video)](https://www.youtube.com/watch?v=C3SsdUqasD4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=2)
        - [ ] [Binary View of 23-Tree](https://www.youtube.com/watch?v=iYvBtGKsqSg&index=3&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6)
        - [ ] [2-3 Trees (student recitation) (video)](https://www.youtube.com/watch?v=TOb1tuEZ2X4&index=5&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp)

    - [ ] **2-3-4 Trees (aka 2-4 trees)**
        - In practice:
            For every 2-4 tree, there are corresponding red–black trees with data elements in the same order. The insertion and deletion
            operations on 2-4 trees are also equivalent to color-flipping and rotations in red–black trees. This makes 2-4 trees an
            important tool for understanding the logic behind red–black trees, and this is why many introductory algorithm texts introduce
            2-4 trees just before red–black trees, even though **2-4 trees are not often used in practice**.
        - [ ] [CS 61B Lecture 26: Balanced Search Trees (video)](https://www.youtube.com/watch?v=zqrqYXkth6Q&index=26&list=PL4BBB74C7D2A1049C)
        - [ ] [Bottom Up 234-Trees (video)](https://www.youtube.com/watch?v=DQdMYevEyE4&index=4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6)
        - [ ] [Top Down 234-Trees (video)](https://www.youtube.com/watch?v=2679VQ26Fp4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=5)

    - [ ] **N-ary (K-ary, M-ary) trees**
        - note: the N or K is the branching factor (max branches)
        - binary trees are a 2-ary tree, with branching factor = 2
        - 2-3 trees are 3-ary
        - [ ] [K-Ary Tree](https://en.wikipedia.org/wiki/K-ary_tree)

    - [ ] **B-Trees**
        - fun fact: it's a mystery, but the B could stand for Boeing, Balanced, or Bayer (co-inventor)
        - In Practice:
            B-Trees are widely used in databases. Most modern filesystems use B-trees (or Variants). In addition to
            its use in databases, the B-tree is also used in filesystems to allow quick random access to an arbitrary
            block in a particular file. The basic problem is turning the file block i address into a disk block
            (or perhaps to a cylinder-head-sector) address.
        - [ ] [B-Tree](https://en.wikipedia.org/wiki/B-tree)
        - [ ] [Introduction to B-Trees (video)](https://www.youtube.com/watch?v=I22wEC1tTGo&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=6)
        - [ ] [B-Tree Definition and Insertion (video)](https://www.youtube.com/watch?v=s3bCdZGrgpA&index=7&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6)
        - [ ] [B-Tree Deletion (video)](https://www.youtube.com/watch?v=svfnVhJOfMc&index=8&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6)
        - [ ] [MIT 6.851 - Memory Hierarchy Models (video)](https://www.youtube.com/watch?v=V3omVLzI0WE&index=7&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf)
                - covers cache-oblivious B-Trees, very interesting data structures
                - the first 37 minutes are very technical, may be skipped (B is block size, cache line size)


- ### k-D Trees
    - great for finding number of points in a rectangle or higher dimension object
    - a good fit for k-nearest neighbors
    - [ ] [Kd Trees (video)](https://www.youtube.com/watch?v=W94M9D_yXKk)
    - [ ] [kNN K-d tree algorithm (video)](https://www.youtube.com/watch?v=Y4ZgLlDfKDg)

- ### Skip lists
    - "These are somewhat of a cult data structure" - Skiena
    - [ ] [Randomization: Skip Lists (video)](https://www.youtube.com/watch?v=2g9OSRKJuzM&index=10&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp)
    - [ ] [For animations and a little more detail](https://en.wikipedia.org/wiki/Skip_list)

- ### Network Flows
    - [ ] [Ford-Fulkerson in 5 minutes (video)](https://www.youtube.com/watch?v=v1VgJmkEJW0)
    - [ ] [Ford-Fulkerson Algorithm (video)](https://www.youtube.com/watch?v=v1VgJmkEJW0)
    - [ ] [Network Flows (video)](https://www.youtube.com/watch?v=2vhN4Ice5jI)

- ### Disjoint Sets & Union Find
    - [ ] [UCB 61B - Disjoint Sets; Sorting & selection (video)](https://www.youtube.com/watch?v=MAEGXTwmUsI&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=21)
    - [ ] [Sedgewick Algorithms - Union-Find (6 videos)](https://www.youtube.com/watch?v=8mYfZeHtdNc&list=PLe-ggMe31CTexoNYnMhbHaWhQ0dvcy43t)

- ### Math for Fast Processing
    - [ ] [Integer Arithmetic, Karatsuba Multiplication (video)](https://www.youtube.com/watch?v=eCaXlAaN2uE&index=11&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb)
    - [ ] [The Chinese Remainder Theorem (used in cryptography) (video)](https://www.youtube.com/watch?v=ru7mWZJlRQg)

- ### Treap
    - Combination of a binary search tree and a heap
    - [ ] [Treap](https://en.wikipedia.org/wiki/Treap)
    - [ ] [Data Structures: Treaps explained (video)](https://www.youtube.com/watch?v=6podLUYinH8)
    - [ ] [Applications in set operations](https://www.cs.cmu.edu/~scandal/papers/treaps-spaa98.pdf)

- ### Linear Programming (videos)
    - [ ] [Linear Programming](https://www.youtube.com/watch?v=M4K6HYLHREQ)
    - [ ] [Finding minimum cost](https://www.youtube.com/watch?v=2ACJ9ewUC6U)
    - [ ] [Finding maximum value](https://www.youtube.com/watch?v=8AA_81xI3ik)
    - [ ] [Solve Linear Equations with Python - Simplex Algorithm](https://www.youtube.com/watch?v=44pAWI7v5Zk)

- ### Geometry, Convex hull (videos)
    - [ ] [Graph Alg. IV: Intro to geometric algorithms - Lecture 9](https://youtu.be/XIAQRlNkJAw?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3164)
    - [ ] [Geometric Algorithms: Graham & Jarvis - Lecture 10](https://www.youtube.com/watch?v=J5aJEcOr6Eo&index=10&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm)
    - [ ] [Divide & Conquer: Convex Hull, Median Finding](https://www.youtube.com/watch?v=EzeYI7p9MjU&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=2)

- ### Discrete math
    - see videos below

- ### Machine Learning
    - [ ] Why ML?
        - [ ] [How Google Is Remaking Itself As A Machine Learning First Company](https://backchannel.com/how-google-is-remaking-itself-as-a-machine-learning-first-company-ada63defcb70)
        - [ ] [Large-Scale Deep Learning for Intelligent Computer Systems (video)](https://www.youtube.com/watch?v=QSaZGT4-6EY)
        - [ ] [Deep Learning and Understandability versus Software Engineering and Verification by Peter Norvig](https://www.youtube.com/watch?v=X769cyzBNVw)
    - [ ] [Google's Cloud Machine learning tools (video)](https://www.youtube.com/watch?v=Ja2hxBAwG_0)
    - [ ] [Google Developers' Machine Learning Recipes (Scikit Learn & Tensorflow) (video)](https://www.youtube.com/playlist?list=PLOU2XLYxmsIIuiBfYad6rFYQU_jL2ryal)
    - [ ] [Tensorflow (video)](https://www.youtube.com/watch?v=oZikw5k_2FM)
    - [ ] [Tensorflow Tutorials](https://www.tensorflow.org/versions/r0.11/tutorials/index.html)
    - [ ] [Practical Guide to implementing Neural Networks in Python (using Theano)](http://www.analyticsvidhya.com/blog/2016/04/neural-networks-python-theano/)
    - Courses:
        - [Great starter course: Machine Learning](https://www.coursera.org/learn/machine-learning)
              - [videos only](https://www.youtube.com/playlist?list=PLZ9qNFMHZ-A4rycgrgOYma6zxF4BZGGPW)
              - see videos 12-18 for a review of linear algebra (14 and 15 are duplicates)
        - [Neural Networks for Machine Learning](https://www.coursera.org/learn/neural-networks)
        - [Google's Deep Learning Nanodegree](https://www.udacity.com/course/deep-learning--ud730)
        - [Google/Kaggle Machine Learning Engineer Nanodegree](https://www.udacity.com/course/machine-learning-engineer-nanodegree-by-google--nd009)
        - [Self-Driving Car Engineer Nanodegree](https://www.udacity.com/drive)
        - [Metis Online Course ($99 for 2 months)](http://www.thisismetis.com/explore-data-science)
    - Resources:
        - Books:
            - [Python Machine Learning](https://www.amazon.com/Python-Machine-Learning-Sebastian-Raschka/dp/1783555130/)
            - [Data Science from Scratch: First Principles with Python](https://www.amazon.com/Data-Science-Scratch-Principles-Python/dp/149190142X)
            - [Introduction to Machine Learning with Python](https://www.amazon.com/Introduction-Machine-Learning-Python-Scientists/dp/1449369413/)
        - [Machine Learning for Software Engineers](https://github.com/ZuzooVn/machine-learning-for-software-engineers)
        - Data School: http://www.dataschool.io/

- ### Go
    - [ ] Videos:
        - [ ] [Why Learn Go?](https://www.youtube.com/watch?v=FTl0tl9BGdc)
        - [ ] [Go Programming](https://www.youtube.com/watch?v=CF9S4QZuV30)
        - [ ] [A Tour of Go](https://www.youtube.com/watch?v=ytEkHepK08c)
    - [ ] Books:
        - [ ] [An Introduction to Programming in Go (read free online)](https://www.golang-book.com/books/intro)
        - [ ] [The Go Programming Language (Donovan & Kernighan)](https://www.amazon.com/Programming-Language-Addison-Wesley-Professional-Computing/dp/0134190440)
    - [ ] [Bootcamp](https://www.golang-book.com/guides/bootcamp)

--

## Información adicional en algunos temas

    I added these to reinforce some ideas already presented above, but didn't want to include them
    above because it's just too much. It's easy to overdo it on a subject.
    You want to get hired in this century, right?

- [ ] **Union-Find**
    - [ ] [Overview](https://www.coursera.org/learn/data-structures/lecture/JssSY/overview)
    - [ ] [Naive Implementation](https://www.coursera.org/learn/data-structures/lecture/EM5D0/naive-implementations)
    - [ ] [Trees](https://www.coursera.org/learn/data-structures/lecture/Mxu0w/trees)
    - [ ] [Union By Rank](https://www.coursera.org/learn/data-structures/lecture/qb4c2/union-by-rank)
    - [ ] [Path Compression](https://www.coursera.org/learn/data-structures/lecture/Q9CVI/path-compression)
    - [ ] [Analysis Options](https://www.coursera.org/learn/data-structures/lecture/GQQLN/analysis-optional)

- [ ] **More Dynamic Programming** (videos)
    - [ ] [6.006: Dynamic Programming I: Fibonacci, Shortest Paths](https://www.youtube.com/watch?v=OQ5jsbhAv_M&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=19)
    - [ ] [6.006: Dynamic Programming II: Text Justification, Blackjack](https://www.youtube.com/watch?v=ENyox7kNKeY&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=20)
    - [ ] [6.006: DP III: Parenthesization, Edit Distance, Knapsack](https://www.youtube.com/watch?v=ocZMDMZwhCY&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=21)
    - [ ] [6.006: DP IV: Guitar Fingering, Tetris, Super Mario Bros.](https://www.youtube.com/watch?v=tp4_UXaVyx8&index=22&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb)
    - [ ] [6.046: Dynamic Programming & Advanced DP](https://www.youtube.com/watch?v=Tw1k46ywN6E&index=14&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp)
    - [ ] [6.046: Dynamic Programming: All-Pairs Shortest Paths](https://www.youtube.com/watch?v=NzgFUwOaoIw&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=15)
    - [ ] [6.046: Dynamic Programming (student recitation)](https://www.youtube.com/watch?v=krZI60lKPek&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=12)

- [ ] **Advanced Graph Processing** (videos)
    - [ ] [Synchronous Distributed Algorithms: Symmetry-Breaking. Shortest-Paths Spanning Trees](https://www.youtube.com/watch?v=mUBmcbbJNf4&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=27)
    - [ ] [Asynchronous Distributed Algorithms: Shortest-Paths Spanning Trees](https://www.youtube.com/watch?v=kQ-UQAzcnzA&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=28)

- [ ] MIT **Probability** (mathy, and go slowly, which is good for mathy things) (videos):
    - [ ] [MIT 6.042J - Probability Introduction](https://www.youtube.com/watch?v=SmFwFdESMHI&index=18&list=PLB7540DEDD482705B)
    - [ ] [MIT 6.042J - Conditional Probability](https://www.youtube.com/watch?v=E6FbvM-FGZ8&index=19&list=PLB7540DEDD482705B)
    - [ ] [MIT 6.042J - Independence](https://www.youtube.com/watch?v=l1BCv3qqW4A&index=20&list=PLB7540DEDD482705B)
    - [ ] [MIT 6.042J - Random Variables](https://www.youtube.com/watch?v=MOfhhFaQdjw&list=PLB7540DEDD482705B&index=21)
    - [ ] [MIT 6.042J - Expectation I](https://www.youtube.com/watch?v=gGlMSe7uEkA&index=22&list=PLB7540DEDD482705B)
    - [ ] [MIT 6.042J - Expectation II](https://www.youtube.com/watch?v=oI9fMUqgfxY&index=23&list=PLB7540DEDD482705B)
    - [ ] [MIT 6.042J - Large Deviations](https://www.youtube.com/watch?v=q4mwO2qS2z4&index=24&list=PLB7540DEDD482705B)
    - [ ] [MIT 6.042J - Random Walks](https://www.youtube.com/watch?v=56iFMY8QW2k&list=PLB7540DEDD482705B&index=25)

- [ ] [Simonson: Approximation Algorithms (video)](https://www.youtube.com/watch?v=oDniZCmNmNw&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=19)

- [ ] **String Matching**
    - [ ] Rabin-Karp (videos):
        - [Rabin Karps Algorithm](https://www.coursera.org/learn/data-structures/lecture/c0Qkw/rabin-karps-algorithm)
        - [Precomputing](https://www.coursera.org/learn/data-structures/lecture/nYrc8/optimization-precomputation)
        - [Optimization: Implementation and Analysis](https://www.coursera.org/learn/data-structures/lecture/h4ZLc/optimization-implementation-and-analysis)
        - [Table Doubling, Karp-Rabin](https://www.youtube.com/watch?v=BRO7mVIFt08&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=9)
        - [Rolling Hashes, Amortized Analysis](https://www.youtube.com/watch?v=w6nuXg0BISo&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=32)
    - [ ] Knuth-Morris-Pratt (KMP):
        - [TThe Knuth-Morris-Pratt (KMP) String Matching Algorithm](https://www.youtube.com/watch?v=5i7oKodCRJo)
    - [ ] Boyer–Moore string search algorithm
        - [Boyer-Moore String Search Algorithm](https://en.wikipedia.org/wiki/Boyer%E2%80%93Moore_string_search_algorithm)
        - [Advanced String Searching Boyer-Moore-Horspool Algorithms (video)](https://www.youtube.com/watch?v=QDZpzctPf10)
    - [ ] [Coursera: Algorithms on Strings](https://www.coursera.org/learn/algorithms-on-strings/home/week/1)
        - starts off great, but by the time it gets past KMP it gets more complicated than it needs to be
        - nice explanation of tries
        - can be skipped

- [ ] **Sorting**

    - [ ] Stanford lectures on sorting:
        - [ ] [Lecture 15 | Programming Abstractions (video)](https://www.youtube.com/watch?v=ENp00xylP7c&index=15&list=PLFE6E58F856038C69)
        - [ ] [Lecture 16 | Programming Abstractions (video)](https://www.youtube.com/watch?v=y4M9IVgrVKo&index=16&list=PLFE6E58F856038C69)
    - [ ] Shai Simonson, [Aduni.org](http://www.aduni.org/):
        - [ ] [Algorithms - Sorting - Lecture 2 (video)](https://www.youtube.com/watch?v=odNJmw5TOEE&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=2)
        - [ ] [Algorithms - Sorting II - Lecture 3 (video)](https://www.youtube.com/watch?v=hj8YKFTFKEE&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=3)
    - [ ] Steven Skiena lectures on sorting:
        - [ ] [lecture begins at 26:46 (video)](https://youtu.be/ute-pmMkyuk?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1600)
        - [ ] [lecture begins at 27:40 (video)](https://www.youtube.com/watch?v=yLvp-pB8mak&index=8&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b)
        - [ ] [lecture begins at 35:00 (video)](https://www.youtube.com/watch?v=q7K9otnzlfE&index=9&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b)
        - [ ] [lecture begins at 23:50 (video)](https://www.youtube.com/watch?v=TvqIGu9Iupw&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=10)

## Video Series

Sit back and enjoy. "Netflix and skill" :P

- [ ] [List of individual Dynamic Programming problems (each is short)](https://www.youtube.com/playlist?list=PLrmLmBdmIlpsHaNTPP_jHHDx_os9ItYXr)

- [ ] [x86 Architecture, Assembly, Applications (11 videos)](https://www.youtube.com/playlist?list=PL038BE01D3BAEFDB0)

- [ ] [MIT 18.06 Linear Algebra, Spring 2005 (35 videos)](https://www.youtube.com/playlist?list=PLE7DDD91010BC51F8)

- [ ] [Excellent - MIT Calculus Revisited: Single Variable Calculus](https://www.youtube.com/playlist?list=PL3B08AE665AB9002A)

- [ ] [Computer Science 70, 001 - Spring 2015 - Discrete Mathematics and Probability Theory](https://www.youtube.com/playlist?list=PL-XXv-cvA_iD8wQm8U0gG_Z1uHjImKXFy)

- [ ] [Discrete Mathematics by Shai Simonson (19 videos)](https://www.youtube.com/playlist?list=PL3o9D4Dl2FJ9q0_gtFXPh_H4POI5dK0yG)

- [ ] [Discrete Mathematics Part 1 by Sarada Herke (5 videos)](https://www.youtube.com/playlist?list=PLGxuz-nmYlQPOc4w1Kp2MZrdqOOm4Jxeo)

- [ ] CSE373 - Analysis of Algorithms (25 videos)
    - [Skiena lectures from Algorithm Design Manual](https://www.youtube.com/watch?v=ZFjhkohHdAA&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=1)

- [ ] [UC Berkeley 61B (Spring 2014): Data Structures (25 videos)](https://www.youtube.com/watch?v=mFPmKGIrQs4&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd)

- [ ] [UC Berkeley 61B (Fall 2006): Data Structures (39 videos)](https://www.youtube.com/playlist?list=PL4BBB74C7D2A1049C)

- [ ] [UC Berkeley 61C: Machine Structures (26 videos)](https://www.youtube.com/watch?v=gJJeUFyuvvg&list=PL-XXv-cvA_iCl2-D-FS5mk0jFF6cYSJs_)

- [ ] [OOSE: Software Dev Using UML and Java (21 videos)](https://www.youtube.com/playlist?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO)

- [ ] [UC Berkeley CS 152: Computer Architecture and Engineering (20 videos)](https://www.youtube.com/watch?v=UH0QYvtP7Rk&index=20&list=PLkFD6_40KJIwEiwQx1dACXwh-2Fuo32qr)

- [ ] [MIT 6.004: Computation Structures (49 videos)](https://www.youtube.com/playlist?list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-)

- [ ] [Carnegie Mellon - Computer Architecture Lectures (39 videos)](https://www.youtube.com/playlist?list=PL5PHm2jkkXmi5CxxI7b3JCL1TWybTDtKq)

- [ ] [MIT 6.006: Intro to Algorithms (47 videos)](https://www.youtube.com/watch?v=HtSuA80QTyo&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&nohtml5=False)

- [ ] [MIT 6.033: Computer System Engineering (22 videos)](https://www.youtube.com/watch?v=zm2VP0kHl1M&list=PL6535748F59DCA484)

- [ ] [MIT 6.034 Artificial Intelligence, Fall 2010 (30 videos)](https://www.youtube.com/playlist?list=PLUl4u3cNGP63gFHB6xb-kVBiQHYe_4hSi)

- [ ] [MIT 6.042J: Mathematics for Computer Science, Fall 2010 (25 videos)](https://www.youtube.com/watch?v=L3LMbpZIKhQ&list=PLB7540DEDD482705B)

- [ ] [MIT 6.046: Design and Analysis of Algorithms (34 videos)](https://www.youtube.com/watch?v=2P-yW7LQr08&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp)

- [ ] [MIT 6.050J: Information and Entropy, Spring 2008 (19 videos)](https://www.youtube.com/watch?v=phxsQrZQupo&list=PL_2Bwul6T-A7OldmhGODImZL8KEVE38X7)

- [ ] [MIT 6.851: Advanced Data Structures (22 videos)](https://www.youtube.com/watch?v=T0yzrZL1py0&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf&index=1)

- [ ] [MIT 6.854: Advanced Algorithms, Spring 2016 (24 videos)](https://www.youtube.com/playlist?list=PL6ogFv-ieghdoGKGg2Bik3Gl1glBTEu8c)

- [ ] [Harvard COMPSCI 224: Advanced Algorithms (25 videos)](https://www.youtube.com/playlist?list=PL2SOU6wwxB0uP4rJgf5ayhHWgw7akUWSf)

- [ ] [MIT 6.858 Computer Systems Security, Fall 2014](https://www.youtube.com/watch?v=GqmQg-cszw4&index=1&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh)

- [ ] [Stanford: Programming Paradigms (27 videos)](https://www.youtube.com/view_play_list?p=9D558D49CA734A02)

- [ ] [Introduction to Cryptography by Christof Paar](https://www.youtube.com/playlist?list=PL6N5qY2nvvJE8X75VkXglSrVhLv1tVcfy)
    - [Course Website along with Slides and Problem Sets](http://www.crypto-textbook.com/)

- [ ] [Mining Massive Datasets - Stanford University (94 videos)](https://www.youtube.com/playlist?list=PLLssT5z_DsK9JDLcT8T62VtzwyW9LNepV)

- [ ] [Graph Theory by Sarada Herke (67 videos)](https://www.youtube.com/user/DrSaradaHerke/playlists?shelf_id=5&view=50&sort=dd)

## Computer Science Courses

- [Directory of Online CS Courses](https://github.com/open-source-society/computer-science)
- [Directory of CS Courses (many with online lectures)](https://github.com/prakhar1989/awesome-courses)

