Updating Up L1007

README.md

@@ -164,7 +164,7 @@ I'm on the journey, too. Follow along on my blog at [GoogleyAsHeck.com](https://
 
 ## Don't feel you aren't smart enough
 - Google engineers are smart, but many have an insecurity that they aren't smart enough, even though they work at Google.
-- The myth of the Genius Programmer: https://www.youtube.com/watch?v=0SARbwvhupQ
+- [The myth of the Genius Programmer](https://www.youtube.com/watch?v=0SARbwvhupQ)
 
 ## About Video Resources
 
@@ -175,9 +175,9 @@ from public sources and replacing the online course videos over time. I like usi
 ## Interview Process & General Interview Prep
 
 - [x] Videos:
-    - [x] [How to Work at Google - Candidate Coaching Session](https://www.youtube.com/watch?v=oWbUtlUhwa8&feature=youtu.be)
-    - [x] [Google Recruiters Share Technical Interview Tips](https://www.youtube.com/watch?v=qc1owf2-220&feature=youtu.be)
-    - [x] [How to Work at Google: Tech Resume Preparation](https://www.youtube.com/watch?v=8npJLXkcmu8)
+    - [x] [How to Work at Google - Candidate Coaching Session (video)](https://www.youtube.com/watch?v=oWbUtlUhwa8&feature=youtu.be)
+    - [x] [Google Recruiters Share Technical Interview Tips (video)](https://www.youtube.com/watch?v=qc1owf2-220&feature=youtu.be)
+    - [x] [How to Work at Google: Tech Resume Preparation (video)](https://www.youtube.com/watch?v=8npJLXkcmu8)
 
 - [x] Articles:
     - [x] [Becoming a Googler in Three Steps](http://www.google.com/about/careers/lifeatgoogle/hiringprocess/)
@@ -193,10 +193,10 @@ from public sources and replacing the online course videos over time. I like usi
     - [x] [How Google Thinks About Hiring, Management And Culture](http://www.kpcb.com/blog/lessons-learned-how-google-thinks-about-hiring-management-and-culture)
     - [x] [Effective Whiteboarding during Programming Interviews](http://www.coderust.com/blog/2014/04/10/effective-whiteboarding-during-programming-interviews/)
     - [x] Cracking The Coding Interview Set 1:
-        - [x] [Gayle L McDowell - Cracking The Coding Interview](https://www.youtube.com/watch?v=rEJzOhC5ZtQ)
-        - [x] [Cracking the Coding Interview with Author Gayle Laakmann McDowell](https://www.youtube.com/watch?v=aClxtDcdpsQ)
+        - [x] [Gayle L McDowell - Cracking The Coding Interview (video)](https://www.youtube.com/watch?v=rEJzOhC5ZtQ)
+        - [x] [Cracking the Coding Interview with Author Gayle Laakmann McDowell (video)](https://www.youtube.com/watch?v=aClxtDcdpsQ)
     - [x] How to Get a Job at the Big 4:
-        - [x] ['How to Get a Job at the Big 4 - Amazon, Facebook, Google & Microsoft'](https://www.youtube.com/watch?v=YJZCUhxNCv8)
+        - [x] ['How to Get a Job at the Big 4 - Amazon, Facebook, Google & Microsoft' (video)](https://www.youtube.com/watch?v=YJZCUhxNCv8)
     - [x] [Failing at Google Interviews](http://alexbowe.com/failing-at-google-interviews/)
 
 
@@ -216,13 +216,13 @@ You need to be very comfortable in the language, and be knowledgeable. Read more
 You'll see some C, C++, and Python learning included below, because I'm learning. There are a few books involved, see the bottom.
 
 - [x] **How computers process a program:**
-    - [x] [How does CPU execute program](https://www.youtube.com/watch?v=42KTvGYQYnA)
-    - [x] [Machine Code Instructions](https://www.youtube.com/watch?v=Mv2XQgpbTNE)
+    - [x] [How does CPU execute program (video)](https://www.youtube.com/watch?v=42KTvGYQYnA)
+    - [x] [Machine Code Instructions (video)](https://www.youtube.com/watch?v=Mv2XQgpbTNE)
 
 - [x] **How floating point numbers are stored:**
-    - [x] simple 8-bit: [Fractions in binary?](http://math.stackexchange.com/questions/301435/fractions-in-binary)
-    - [x] 32 bit: [Representation of Floating Point Numbers - 1](https://www.youtube.com/watch?v=ji3SfClm8TU)
-    - [x] 64 bit: https://www.youtube.com/watch?v=50ZYcZebIec
+    - [x] simple 8-bit: [Fractions in binary? (video)](http://math.stackexchange.com/questions/301435/fractions-in-binary)
+    - [x] 32 bit: [Representation of Floating Point Numbers - 1 (video)](https://www.youtube.com/watch?v=ji3SfClm8TU)
+    - [x] 64 bit: [IEEE754 32-bit floating point binary (video)](https://www.youtube.com/watch?v=50ZYcZebIec)
 
 - [x] **Computer Arch Intro:**
     (first video only - interesting but not required) [Introduction and Basics - Carnegie Mellon - Computer Architecture](https://www.youtube.com/watch?v=zLP_X4wyHbY&list=PL5PHm2jkkXmi5CxxI7b3JCL1TWybTDtKq&index=1)
@@ -230,11 +230,11 @@ You'll see some C, C++, and Python learning included below, because I'm learning
 - [x] **C**
     - [x] [ANSI C Cheat Sheet](https://github.com/jwasham/google-interview-university/blob/master/extras/cheat%20sheets/C%20Reference%20Card%20(ANSI)%202.2.pdf)
     - [x] K&R C book (ANSI C)
-    - [x] [Make, Clang](https://www.youtube.com/watch?v=U3zCxnj2w8M)
+    - [x] [Make, Clang (video)](https://www.youtube.com/watch?v=U3zCxnj2w8M)
     - [x] GDB:
         - https://www.youtube.com/watch?v=USPvePv1uzE
         - https://www.youtube.com/watch?v=y5JmQItfFck
-      - [Valgrind](https://www.youtube.com/watch?v=fvTsFjDuag8)
+      - [Valgrind (video)](https://www.youtube.com/watch?v=fvTsFjDuag8)
 - [x] **C++**
     - [x] [C++ Cheat Sheet](https://github.com/jwasham/google-interview-university/blob/master/extras/cheat%20sheets/Cpp_reference.pdf)
     - [x] [STL Cheat Sheet](https://github.com/jwasham/google-interview-university/blob/master/extras/cheat%20sheets/STL%20Quick%20Reference%201.29.pdf)
@@ -249,28 +249,26 @@ You'll see some C, C++, and Python learning included below, because I'm learning
     - [x] OOP
     - [x] STL
     - [x] [functors](http://www.cprogramming.com/tutorial/functors-function-objects-in-c++.html)
-    - [x] [C++ at Google](https://www.youtube.com/watch?v=NOCElcMcFik)
+    - [x] [C++ at Google (video)](https://www.youtube.com/watch?v=NOCElcMcFik)
     - [x] [Google C++ Style Guide](https://google.github.io/styleguide/cppguide.html)
         - [x] Google uses clang-format (there is a command line "style" argument: -style=google)
-    - [x] [Efficiency with Algorithms, Performance with Data Structures](https://youtu.be/fHNmRkzxHWs)
-    - [x] [Review of C++ concepts](https://www.youtube.com/watch?v=Rub-JsjMhWY)
+    - [x] [Efficiency with Algorithms, Performance with Data Structures (video)](https://youtu.be/fHNmRkzxHWs)
+    - [x] [Review of C++ concepts (video)](https://www.youtube.com/watch?v=Rub-JsjMhWY)
 
 - [x] **Python**
     - [x] [Python Cheat Sheet](https://github.com/jwasham/google-interview-university/blob/master/extras/cheat%20sheets/python-cheat-sheet-v1.pdf)
     - [x] [Python in One Video](https://www.youtube.com/watch?v=N4mEzFDjqtA)
-    - [x] [Series on 3.4](https://www.youtube.com/playlist?list=PL6gx4Cwl9DGAcbMi1sH6oAMk4JHw91mC_)
-    - [x] [Zero to Hero](https://www.youtube.com/watch?v=emY34tSKXc4)
-    - [x] [Statistics for Hackers](https://www.youtube.com/watch?v=Iq9DzN6mvYA)
-    - [x] [Faster Python](https://www.youtube.com/watch?v=JDSGVvMwNM8)
-    - [x] [CPython Walk](https://www.youtube.com/watch?v=LhadeL7_EIU&list=PLzV58Zm8FuBL6OAv1Yu6AwXZrnsFbbR0S&index=6)
-    - [x] [10 Tips for Pythonic Code](https://www.youtube.com/watch?v=_O23jIXsshs)
-    - [x] [Beyond PEP 8 -- Best practices for beautiful intelligible code](https://www.youtube.com/watch?v=wf-BqAjZb8M)
+    - [x] [Series on 3.4 (video)](https://www.youtube.com/playlist?list=PL6gx4Cwl9DGAcbMi1sH6oAMk4JHw91mC_)
+    - [x] [Zero to Hero (video)](https://www.youtube.com/watch?v=emY34tSKXc4)
+    - [x] [Statistics for Hackers (video)](https://www.youtube.com/watch?v=Iq9DzN6mvYA)
+    - [x] [Faster Python (video)](https://www.youtube.com/watch?v=JDSGVvMwNM8)
+    - [x] [CPython Walk (video)](https://www.youtube.com/watch?v=LhadeL7_EIU&list=PLzV58Zm8FuBL6OAv1Yu6AwXZrnsFbbR0S&index=6)
+    - [x] [10 Tips for Pythonic Code (video)](https://www.youtube.com/watch?v=_O23jIXsshs)
+    - [x] [Beyond PEP 8 -- Best practices for beautiful intelligible code (video)](https://www.youtube.com/watch?v=wf-BqAjZb8M)
 
 - [x] **Compilers**
-    - [x] https://class.coursera.org/compilers-004/lecture/1
-    - [x] https://class.coursera.org/compilers-004/lecture/2
-    - [x] C++: https://www.youtube.com/watch?v=twodd1KFfGk
-    - [x] Understanding Compiler Optimization (C++): https://www.youtube.com/watch?v=FnGCDLhaxKU
+    - [x] [C++ (video)](https://www.youtube.com/watch?v=twodd1KFfGk)
+    - [x] [Understanding Compiler Optimization (C++) (video)](https://www.youtube.com/watch?v=FnGCDLhaxKU)
 
 ## The Daily Plan
 
@@ -303,19 +301,19 @@ Then test it out on a computer to make sure it's not buggy from syntax.
 
 ## Algorithmic complexity / Big-O / Asymptotic analysis
 - nothing to implement
-- [x] [Harvard CS50 - Asymptotic Notation](https://www.youtube.com/watch?v=iOq5kSKqeR4)
-- [x] [Big O Notations (general quick tutorial)](https://www.youtube.com/watch?v=V6mKVRU1evU)
-- [x] [Big O Notation (and Omega and Theta) - best mathematical explanation](https://www.youtube.com/watch?v=ei-A_wy5Yxw&index=2&list=PL1BaGV1cIH4UhkL8a9bJGG356covJ76qN)
+- [x] [Harvard CS50 - Asymptotic Notation (video)](https://www.youtube.com/watch?v=iOq5kSKqeR4)
+- [x] [Big O Notations (general quick tutorial) (video)](https://www.youtube.com/watch?v=V6mKVRU1evU)
+- [x] [Big O Notation (and Omega and Theta) - best mathematical explanation (video)](https://www.youtube.com/watch?v=ei-A_wy5Yxw&index=2&list=PL1BaGV1cIH4UhkL8a9bJGG356covJ76qN)
 - [x] 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)
 - [x] [A Gentle Introduction to Algorithm Complexity Analysis](http://discrete.gr/complexity/)
-- [x] [Orders of Growth](https://class.coursera.org/algorithmicthink1-004/lecture/59)
-- [x] [Asymptotics](https://class.coursera.org/algorithmicthink1-004/lecture/61)
-- [x] [UC Berkeley Big O](https://youtu.be/VIS4YDpuP98)
-- [x] [UC Berkeley Big Omega](https://youtu.be/ca3e7UVmeUc)
-- [x] [Amortized Analysis](https://www.youtube.com/watch?v=B3SpQZaAZP4&index=10&list=PL1BaGV1cIH4UhkL8a9bJGG356covJ76qN)
-- [x] [Illustrating "Big O"](https://class.coursera.org/algorithmicthink1-004/lecture/63)
+- [x] [Orders of Growth (video)](https://class.coursera.org/algorithmicthink1-004/lecture/59)
+- [x] [Asymptotics (video)](https://class.coursera.org/algorithmicthink1-004/lecture/61)
+- [x] [UC Berkeley Big O (video)](https://youtu.be/VIS4YDpuP98)
+- [x] [UC Berkeley Big Omega (video)](https://youtu.be/ca3e7UVmeUc)
+- [x] [Amortized Analysis (video)](https://www.youtube.com/watch?v=B3SpQZaAZP4&index=10&list=PL1BaGV1cIH4UhkL8a9bJGG356covJ76qN)
+- [x] [Illustrating "Big O" (video)](https://class.coursera.org/algorithmicthink1-004/lecture/63)
 - [x] 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/)
@@ -330,12 +328,12 @@ Then test it out on a computer to make sure it's not buggy from syntax.
 - ### Arrays
     - Implement an automatically resizing vector.
     - [x] Description:
-        - [Arrays](https://www.coursera.org/learn/data-structures/lecture/OsBSF/arrays)
-        - [Arrays](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Basic-arrays/149042/177104-4.html)
-        - [Multi-dim](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Multidimensional-arrays/149042/177105-4.html)
-        - [Dynamic Arrays](https://www.coursera.org/learn/data-structures/lecture/EwbnV/dynamic-arrays)
-        - [Jagged](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Jagged-arrays/149042/177106-4.html)
-        - [Resizing arrays](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Resizable-arrays/149042/177108-4.html)
+        - [Arrays (video)](https://www.coursera.org/learn/data-structures/lecture/OsBSF/arrays)
+        - [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.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)
     - [x] Implement a vector (mutable array with automatic resizing):
         - [x] Practice coding using arrays and pointers, and pointer math to jump to an index instead of using indexing.
         - [x] new raw data array with allocated memory
@@ -364,19 +362,18 @@ Then test it out on a computer to make sure it's not buggy from syntax.
 
 - ### Linked Lists
     - [x] Description:
-        - [x] [Singly Linked Lists](https://www.coursera.org/learn/data-structures/lecture/kHhgK/singly-linked-lists)
-        - [x] [CS 61B - Linked lists](https://www.youtube.com/watch?v=sJtJOtXCW_M&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=5)
-    - [x] [C Code](https://www.youtube.com/watch?v=QN6FPiD0Gzo)
+        - [x] [Singly Linked Lists (video)](https://www.coursera.org/learn/data-structures/lecture/kHhgK/singly-linked-lists)
+        - [x] [CS 61B - Linked Lists (video)](https://www.youtube.com/watch?v=sJtJOtXCW_M&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=5)
+    - [x] [C Code (video)](https://www.youtube.com/watch?v=QN6FPiD0Gzo)
             - not the whole video, just portions about Node struct and memory allocation.
     - [x] Linked List vs Arrays:
-        - [Core Linked Lists Vs Arrays](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/rjBs9/core-linked-lists-vs-arrays)
-        - [In The Real World Linked Lists Vs Arrays](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/QUaUd/in-the-real-world-lists-vs-arrays)
-    - [x] why you should avoid linked lists:
-        - https://www.youtube.com/watch?v=YQs6IC-vgmo
+        - [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)
+    - [x] [why you should avoid linked lists (video)](https://www.youtube.com/watch?v=YQs6IC-vgmo)
     - [x] 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.
-        - https://www.eskimo.com/~scs/cclass/int/sx8.html
+        - [Pointers to Pointers](https://www.eskimo.com/~scs/cclass/int/sx8.html)
     - [x] implement (I did with tail pointer & without):
         - [x] size() - returns number of data elements in list
         - [x] empty() - bool returns true if empty
@@ -393,19 +390,19 @@ Then test it out on a computer to make sure it's not buggy from syntax.
         - [x] reverse() - reverses the list
         - [x] remove_value(value) - removes the first item in the list with this value
     - [x] Doubly-linked List
-        - Description: https://www.coursera.org/learn/data-structures/lecture/jpGKD/doubly-linked-lists
+        - [Description (video)](https://www.coursera.org/learn/data-structures/lecture/jpGKD/doubly-linked-lists)
         - No need to implement
 
 - ### Stack
-    - [x] [Stacks](https://www.coursera.org/learn/data-structures/lecture/UdKzQ/stacks)
-    - [x] [Using Stacks Last-In First-Out](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-stacks-last-first-out/149042/177120-4.html)
+    - [x] [Stacks (video)](https://www.coursera.org/learn/data-structures/lecture/UdKzQ/stacks)
+    - [x] [Using Stacks Last-In First-Out (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-stacks-last-first-out/149042/177120-4.html)
     - [x] Will not implement. Implementing with array is trivial.
 
 - ### Queue
-    - [x] [Using Queues First-In First-Out](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-queues-first-first-out/149042/177122-4.html)
-    - [x] [Queue](https://www.coursera.org/learn/data-structures/lecture/EShpq/queue)
+    - [x] [Using Queues First-In First-Out(video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-queues-first-first-out/149042/177122-4.html)
+    - [x] [Queue (video)](https://www.coursera.org/learn/data-structures/lecture/EShpq/queue)
     - [x] [Circular buffer/FIFO](https://en.wikipedia.org/wiki/Circular_buffer)
-    - [x] [Priority Queues](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Priority-queues-deques/149042/177123-4.html)
+    - [x] [Priority Queues (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Priority-queues-deques/149042/177123-4.html)
     - [x] 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)
@@ -424,24 +421,24 @@ Then test it out on a computer to make sure it's not buggy from syntax.
     
 - ### Hash table
     - [x] Videos:
-        - [x] Hashing with Chaining: https://www.youtube.com/watch?v=0M_kIqhwbFo&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=8
-        - [x] Table Doubling, Karp-Rabin: https://www.youtube.com/watch?v=BRO7mVIFt08&index=9&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb
-        - [x] Open Addressing, Cryptographic Hashing: https://www.youtube.com/watch?v=rvdJDijO2Ro&index=10&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb
-        - [x] PyCon 2010: The Mighty Dictionary: https://www.youtube.com/watch?v=C4Kc8xzcA68
-        - [x] (Advanced) Randomization: Universal & Perfect Hashing: https://www.youtube.com/watch?v=z0lJ2k0sl1g&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=11
-        - [x] (Advanced) Perfect hashing: https://www.youtube.com/watch?v=N0COwN14gt0&list=PL2B4EEwhKD-NbwZ4ezj7gyc_3yNrojKM9&index=4
+        - [x] [Hashing with Chaining (video)](https://www.youtube.com/watch?v=0M_kIqhwbFo&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=8)
+        - [x] [Table Doubling, Karp-Rabin (video)](https://www.youtube.com/watch?v=BRO7mVIFt08&index=9&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb)
+        - [x] [Open Addressing, Cryptographic Hashing (video)](https://www.youtube.com/watch?v=rvdJDijO2Ro&index=10&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb)
+        - [x] [PyCon 2010: The Mighty Dictionary (video)](https://www.youtube.com/watch?v=C4Kc8xzcA68)
+        - [x] [(Advanced) Randomization: Universal & Perfect Hashing (video)](https://www.youtube.com/watch?v=z0lJ2k0sl1g&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=11)
+        - [x] [(Advanced) Perfect hashing (video)](https://www.youtube.com/watch?v=N0COwN14gt0&list=PL2B4EEwhKD-NbwZ4ezj7gyc_3yNrojKM9&index=4)
     
     - [x] Online Courses:
-        - [x] https://www.lynda.com/Developer-Programming-Foundations-tutorials/Understanding-hash-functions/149042/177126-4.html
-        - [x] https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-hash-tables/149042/177127-4.html
-        - [x] https://www.lynda.com/Developer-Programming-Foundations-tutorials/Supporting-hashing/149042/177128-4.html
-        - [x] https://www.lynda.com/Developer-Programming-Foundations-tutorials/Language-support-hash-tables/149042/177129-4.html
-        - [x] https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/m7UuP/core-hash-tables
-        - [x] https://www.coursera.org/learn/data-structures/home/week/3
-        - [x] https://www.coursera.org/learn/data-structures/lecture/NYZZP/phone-book-problem
+        - [x] [Understanding Hash Functions (video](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Understanding-hash-functions/149042/177126-4.html)
+        - [x] [Using Hash Tables (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-hash-tables/149042/177127-4.html)
+        - [x] [Supporting Hashing (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Supporting-hashing/149042/177128-4.html)
+        - [x] [Language SUpport Hash Tables (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Language-support-hash-tables/149042/177129-4.html)
+        - [x] [Core Hash Tables (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/m7UuP/core-hash-tables)
+        - [x] [Data Structures (video)](https://www.coursera.org/learn/data-structures/home/week/3)
+        - [x] [Phone Book Problem (video)](https://www.coursera.org/learn/data-structures/lecture/NYZZP/phone-book-problem)
         - [x] distributed hash tables:
-            - https://www.coursera.org/learn/data-structures/lecture/DvaIb/instant-uploads-and-storage-optimization-in-dropbox
-            - https://www.coursera.org/learn/data-structures/lecture/tvH8H/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)
     
     - [x] implement with array using linear probing
         - hash(k, m) - m is size of hash table
@@ -453,16 +450,16 @@ Then test it out on a computer to make sure it's not buggy from syntax.
 ## More Knowledge
 
 - ### Endianness
-    - [x] https://www.cs.umd.edu/class/sum2003/cmsc311/Notes/Data/endian.html
-    - [x] https://www.youtube.com/watch?v=JrNF0KRAlyo
-    - [x] https://www.youtube.com/watch?v=oBSuXP-1Tc0
+    - [x] [Big And Little Endian](https://www.cs.umd.edu/class/sum2003/cmsc311/Notes/Data/endian.html)
+    - [x] [Big Endian Vs Little Endian (video)](https://www.youtube.com/watch?v=JrNF0KRAlyo)
+    - [x] [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.
 
 - ### Binary search
-    - [x] https://www.youtube.com/watch?v=D5SrAga1pno
-    - [x] https://www.khanacademy.org/computing/computer-science/algorithms/binary-search/a/binary-search
-    - [x] detail: https://www.topcoder.com/community/data-science/data-science-tutorials/binary-search/
+    - [x] [Binary Search (video)](https://www.youtube.com/watch?v=D5SrAga1pno)
+    - [x] [Binary Search (video)](https://www.khanacademy.org/computing/computer-science/algorithms/binary-search/a/binary-search)
+    - [x] [detail](https://www.topcoder.com/community/data-science/data-science-tutorials/binary-search/)
     - [x] Implement:
         - binary search (on sorted array of integers)
         - binary search using recursion
@@ -470,45 +467,45 @@ Then test it out on a computer to make sure it's not buggy from syntax.
 - ### Bitwise operations
     - [x] [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)
     - [x] Get a really good understanding of manipulating bits with: &, |, ^, ~, >>, <<
-        - [x] words: https://en.wikipedia.org/wiki/Word_(computer_architecture)
+        - [x] [words](https://en.wikipedia.org/wiki/Word_(computer_architecture)
         - [x] Good intro:
-            https://www.youtube.com/watch?v=7jkIUgLC29I
-        - [x] https://www.youtube.com/watch?v=d0AwjSpNXR0
-        - [x] https://en.wikipedia.org/wiki/Bit_manipulation
-        - [x] https://en.wikipedia.org/wiki/Bitwise_operation
-        - [x] https://graphics.stanford.edu/~seander/bithacks.html
-        - [x] http://bits.stephan-brumme.com/
-        - [x] http://bits.stephan-brumme.com/interactive.html
+            [Bit Manipulation (video)](https://www.youtube.com/watch?v=7jkIUgLC29I)
+        - [x] [C Programming Tutorial 2-10: Bitwise Operators (video)](https://www.youtube.com/watch?v=d0AwjSpNXR0)
+        - [x] [Bit Manipulation](https://en.wikipedia.org/wiki/Bit_manipulation)
+        - [x] [Bitwise Operation](https://en.wikipedia.org/wiki/Bitwise_operation)
+        - [x] [Bithacks](https://graphics.stanford.edu/~seander/bithacks.html)
+        - [x] [The Bit Twiddler](http://bits.stephan-brumme.com/)
+        - [x] [The Bit Twiddler Interactive](http://bits.stephan-brumme.com/interactive.html)
     - [x] 2s and 1s complement
-        - https://www.youtube.com/watch?v=lKTsv6iVxV4
-        - https://en.wikipedia.org/wiki/Ones%27_complement
-        - https://en.wikipedia.org/wiki/Two%27s_complement
+        - [Binary: Plusses & Minuses (Why We Use Two's Complement) (video)](https://www.youtube.com/watch?v=lKTsv6iVxV4)
+        - [1s Complement](https://en.wikipedia.org/wiki/Ones%27_complement)
+        - [2s Complement](https://en.wikipedia.org/wiki/Two%27s_complement)
     - [x] count set bits
-        - https://youtu.be/Hzuzo9NJrlc
-        - https://graphics.stanford.edu/~seander/bithacks.html#CountBitsSetKernighan
-        - http://stackoverflow.com/questions/109023/how-to-count-the-number-of-set-bits-in-a-32-bit-integer
+        - [4 ways to count bits in a byte (video)](https://youtu.be/Hzuzo9NJrlc)
+        - [Count Bits](https://graphics.stanford.edu/~seander/bithacks.html#CountBitsSetKernighan)
+        - [How To Count The Number Of Set Bits In a 32 Bit Integer](http://stackoverflow.com/questions/109023/how-to-count-the-number-of-set-bits-in-a-32-bit-integer)
     - [x] round to next power of 2:
-        - http://bits.stephan-brumme.com/roundUpToNextPowerOfTwo.html
+        - [Round Up To Next Power Of Two](http://bits.stephan-brumme.com/roundUpToNextPowerOfTwo.html)
     - [x] swap values:
-        - http://bits.stephan-brumme.com/swap.html
+        - [Swap](http://bits.stephan-brumme.com/swap.html)
     - [x] absolute value:
-        - http://bits.stephan-brumme.com/absInteger.html
+        - [Absolute Integer](http://bits.stephan-brumme.com/absInteger.html)
 
 ## Trees
 
 - ### Trees - Notes & Background
-    - [x] Series: https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/ovovP/core-trees
-    - [x] Series: https://www.coursera.org/learn/data-structures/lecture/95qda/trees
+    - [x] [Series: Core Trees (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/ovovP/core-trees)
+    - [x] [Series: Trees (video)](https://www.coursera.org/learn/data-structures/lecture/95qda/trees)
     - basic tree construction
     - traversal
     - manipulation algorithms
     - BFS (breadth-first search)
-        - MIT: https://www.youtube.com/watch?v=s-CYnVz-uh4&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=13
+        - [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: https://www.youtube.com/watch?v=AfSk24UTFS8&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=14
+        - [MIT (video)](https://www.youtube.com/watch?v=AfSk24UTFS8&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=14)
         - notes:
             time complexity: O(n)
             space complexity:
@@ -519,22 +516,22 @@ Then test it out on a computer to make sure it's not buggy from syntax.
         - preorder (DFS: self, left, right)
 
 - ### Binary search trees: BSTs
-    - [x] Binary Search Tree Review: https://www.youtube.com/watch?v=x6At0nzX92o&index=1&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6
-    - [x] Series: https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/p82sw/core-introduction-to-binary-search-trees
+    - [x] [Binary Search Tree Review (video)](https://www.youtube.com/watch?v=x6At0nzX92o&index=1&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6)
+    - [x] [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
-    - [x] https://www.coursera.org/learn/data-structures/lecture/E7cXP/introduction
-    - [x] MIT: https://www.youtube.com/watch?v=9Jry5-82I68
+    - [x] [Introduction (video)](https://www.coursera.org/learn/data-structures/lecture/E7cXP/introduction)
+    - [x] [MIT (video)](https://www.youtube.com/watch?v=9Jry5-82I68)
     - C/C++:
-        - [x] https://www.youtube.com/watch?v=COZK7NATh4k&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=28
-        - [x] https://www.youtube.com/watch?v=hWokyBoo0aI&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=29
-        - [x] https://www.youtube.com/watch?v=Ut90klNN264&index=30&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P
-        - [x] https://www.youtube.com/watch?v=_pnqMz5nrRs&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=31
-        - [x] https://www.youtube.com/watch?v=9RHO6jU--GU&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=32
-        - [x] https://www.youtube.com/watch?v=86g8jAQug04&index=33&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P
-        - [x] https://www.youtube.com/watch?v=gm8DUJJhmY4&index=34&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P
-        - [x] https://www.youtube.com/watch?v=yEwSGhSsT0U&index=35&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P
-        - [x] https://www.youtube.com/watch?v=gcULXE7ViZw&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=36
-        - [x] https://www.youtube.com/watch?v=5cPbNCrdotA&index=37&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P
+        - [x] [Binary search tree - Implementation in C/C++ (video)](https://www.youtube.com/watch?v=COZK7NATh4k&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=28)
+        - [x] [BST implementation - memory allocation in stack and heap (video)](https://www.youtube.com/watch?v=hWokyBoo0aI&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=29)
+        - [x] [Find min and max element in a binary search tree (video)](https://www.youtube.com/watch?v=Ut90klNN264&index=30&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P)
+        - [x] [Find height of a binary tree (video)](https://www.youtube.com/watch?v=_pnqMz5nrRs&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=31)
+        - [x] [Binary tree traversal - breadth-first and depth-first strategies (video)](https://www.youtube.com/watch?v=9RHO6jU--GU&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=32)
+        - [x] [Binary tree: Level Order Traversal (video)](https://www.youtube.com/watch?v=86g8jAQug04&index=33&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P)
+        - [x] [Binary tree traversal: Preorder, Inorder, Postorder (video)](https://www.youtube.com/watch?v=gm8DUJJhmY4&index=34&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P)
+        - [x] [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)
+        - [x] [Delete a node from Binary Search Tree (video)](https://www.youtube.com/watch?v=gcULXE7ViZw&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=36)
+        - [x] [Inorder Successor in a binary search tree (video)](https://www.youtube.com/watch?v=5cPbNCrdotA&index=37&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P)
     - [x] Implement:
         - [x] insert    // insert value into tree
         - [x] get_node_count // get count of values stored
@@ -550,21 +547,20 @@ Then test it out on a computer to make sure it's not buggy from syntax.
 
 - ### Heap / Priority Queue / Binary Heap
     - visualized as a tree, but is usually linear in storage (array, linked list)
-    - [x] https://en.wikipedia.org/wiki/Heap_(data_structure)
-    - [x] https://www.coursera.org/learn/data-structures/lecture/2OpTs/introduction
-    - [x] https://www.coursera.org/learn/data-structures/lecture/z3l9N/naive-implementations
-    - [x] https://www.coursera.org/learn/data-structures/lecture/GRV2q/binary-trees
-    - [x] https://www.coursera.org/learn/data-structures/supplement/S5xxz/tree-height-remark
-    - [x] https://www.coursera.org/learn/data-structures/lecture/GRV2q/binary-trees
-    - [x] https://www.coursera.org/learn/data-structures/lecture/0g1dl/basic-operations
-    - [x] https://www.coursera.org/learn/data-structures/lecture/gl5Ni/complete-binary-trees
-    - [x] https://www.coursera.org/learn/data-structures/lecture/HxQo9/pseudocode
-    - [x] Heap Sort - jumps to start: https://youtu.be/odNJmw5TOEE?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3291
-    - [x] Heap Sort: https://www.coursera.org/learn/data-structures/lecture/hSzMO/heap-sort
-    - [x] Building a heap: https://www.coursera.org/learn/data-structures/lecture/dwrOS/building-a-heap
-    - [x] MIT: Heaps and Heap Sort: https://www.youtube.com/watch?v=B7hVxCmfPtM&index=4&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb
-    - [x] CS 61B Lecture 24: Priority Queues: https://www.youtube.com/watch?v=yIUFT6AKBGE&index=24&list=PL4BBB74C7D2A1049C
-    - [x] Linear Time BuildHeap (max-heap): https://www.youtube.com/watch?v=MiyLo8adrWw
+    - [x] [Heap](https://en.wikipedia.org/wiki/Heap_(data_structure))
+    - [x] [Introduction (video)](https://www.coursera.org/learn/data-structures/lecture/2OpTs/introduction)
+    - [x] [Naive Implementations (video)](https://www.coursera.org/learn/data-structures/lecture/z3l9N/naive-implementations)
+    - [x] [Binary Trees (video)](https://www.coursera.org/learn/data-structures/lecture/GRV2q/binary-trees)
+    - [x] [Tree Height Remark (video)](https://www.coursera.org/learn/data-structures/supplement/S5xxz/tree-height-remark)
+    - [x] [Basic Operations (video)](https://www.coursera.org/learn/data-structures/lecture/0g1dl/basic-operations)
+    - [x] [Complete Binary Trees (video)](https://www.coursera.org/learn/data-structures/lecture/gl5Ni/complete-binary-trees)
+    - [x] [Pseudocode (video)](https://www.coursera.org/learn/data-structures/lecture/HxQo9/pseudocode)
+    - [x] [Heap Sort - jumps to start (video)](https://youtu.be/odNJmw5TOEE?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3291)
+    - [x] [Heap Sort (video)](https://www.coursera.org/learn/data-structures/lecture/hSzMO/heap-sort)
+    - [x] [Building a heap (video)](https://www.coursera.org/learn/data-structures/lecture/dwrOS/building-a-heap)
+    - [x] [MIT: Heaps and Heap Sort (video)](https://www.youtube.com/watch?v=B7hVxCmfPtM&index=4&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb)
+    - [x] [CS 61B Lecture 24: Priority Queues (video)](https://www.youtube.com/watch?v=yIUFT6AKBGE&index=24&list=PL4BBB74C7D2A1049C)
+    - [x] [Linear Time BuildHeap (max-heap)](https://www.youtube.com/watch?v=MiyLo8adrWw)
     - [x] Implement a max-heap:
         - [x] insert
         - [x] sift_up - needed for insert
@@ -582,15 +578,15 @@ Then test it out on a computer to make sure it's not buggy from syntax.
     - 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.
-    - [x] http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Tries
+    - [x] [Notes on Data Structures and Programming Techniques](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Tries)
     - [x] Short course videos:
-        - [x] https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/08Xyf/core-introduction-to-tries
-        - [x] https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/PvlZW/core-performance-of-tries
+        - [x] [Core Introduction To Tries (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/08Xyf/core-introduction-to-tries)
+        - [x] [Core Performance Of Tries (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/PvlZW/core-performance-of-tries)
         - [x] https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/DFvd3/core-implementing-a-trie
-    - [x] The Trie: A Neglected Data Structure: https://www.toptal.com/java/the-trie-a-neglected-data-structure
-    - [x] TopCoder - Using Tries: https://www.topcoder.com/community/data-science/data-science-tutorials/using-tries/
-    - [x] Stanford Lecture (real world use case): https://www.youtube.com/watch?v=TJ8SkcUSdbU
-    - [x] MIT, Advanced Data Structures, Strings (can get pretty obscure about halfway through): https://www.youtube.com/watch?v=NinWEPPrkDQ&index=16&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf
+    - [x] [The Trie: A Neglected Data Structure](https://www.toptal.com/java/the-trie-a-neglected-data-structure)
+    - [x] [TopCoder - Using Tries](https://www.topcoder.com/community/data-science/data-science-tutorials/using-tries/)
+    - [x] [Stanford Lecture (real world use case) (video)](https://www.youtube.com/watch?v=TJ8SkcUSdbU)
+    - [x] [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):
@@ -604,7 +600,7 @@ Then test it out on a computer to make sure it's not buggy from syntax.
         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.
-    - [x] Self-balancing binary search tree: https://en.wikipedia.org/wiki/Self-balancing_binary_search_tree
+    - [x] [Self-balancing binary search tree](https://en.wikipedia.org/wiki/Self-balancing_binary_search_tree)
 
     - [x] **AVL trees**
         - In practice:
@@ -613,28 +609,28 @@ Then test it out on a computer to make sure it's not buggy from syntax.
             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).
-        - [x] MIT AVL Trees / AVL Sort: https://www.youtube.com/watch?v=FNeL18KsWPc&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=6
-        - [x] https://www.coursera.org/learn/data-structures/lecture/Qq5E0/avl-trees
-        - [x] https://www.coursera.org/learn/data-structures/lecture/PKEBC/avl-tree-implementation
-        - [x] https://www.coursera.org/learn/data-structures/lecture/22BgE/split-and-merge
+        - [x] [MIT AVL Trees / AVL Sort (video)](https://www.youtube.com/watch?v=FNeL18KsWPc&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=6)
+        - [x] [AVL Trees (video)](https://www.coursera.org/learn/data-structures/lecture/Qq5E0/avl-trees)
+        - [x] [AVL Tree Implementation (video)](https://www.coursera.org/learn/data-structures/lecture/PKEBC/avl-tree-implementation)
+        - [x] [Split And Merge](https://www.coursera.org/learn/data-structures/lecture/22BgE/split-and-merge)
 
     - [x] **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.
-        - [x] CS 61B: Splay Trees: https://www.youtube.com/watch?v=Najzh1rYQTo&index=23&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd
+        - [x] [CS 61B: Splay Trees (video)](https://www.youtube.com/watch?v=Najzh1rYQTo&index=23&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd)
         - [x] MIT Lecture: Splay Trees:
                 - Gets very mathy, but watch the last 10 minutes for sure.
-                - https://www.youtube.com/watch?v=QnPl_Y6EqMo
+                - [Video](https://www.youtube.com/watch?v=QnPl_Y6EqMo)
 
     - [x] **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.
-        - [x] 23-Tree Intuition and Definition: https://www.youtube.com/watch?v=C3SsdUqasD4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=2
-        - [x] Binary View of 23-Tree: https://www.youtube.com/watch?v=iYvBtGKsqSg&index=3&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6
-        - [x] 2-3 Trees (student recitation): https://www.youtube.com/watch?v=TOb1tuEZ2X4&index=5&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp
+        - [x] [23-Tree Intuition and Definition (video)](https://www.youtube.com/watch?v=C3SsdUqasD4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=2)
+        - [x] [Binary View of 23-Tree](https://www.youtube.com/watch?v=iYvBtGKsqSg&index=3&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6)
+        - [x] [2-3 Trees (student recitation) (video)](https://www.youtube.com/watch?v=TOb1tuEZ2X4&index=5&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp)
 
     - [x] **2-3-4 Trees (aka 2-4 trees)**
         - In practice:
@@ -642,9 +638,9 @@ Then test it out on a computer to make sure it's not buggy from syntax.
             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**.
-        - [x] CS 61B Lecture 26: Balanced Search Trees: https://www.youtube.com/watch?v=zqrqYXkth6Q&index=26&list=PL4BBB74C7D2A1049C
-        - [x] Bottom Up 234-Trees: https://www.youtube.com/watch?v=DQdMYevEyE4&index=4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6
-        - [x] Top Down 234-Trees: https://www.youtube.com/watch?v=2679VQ26Fp4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=5
+        - [x] [CS 61B Lecture 26: Balanced Search Trees (video)](https://www.youtube.com/watch?v=zqrqYXkth6Q&index=26&list=PL4BBB74C7D2A1049C)
+        - [x] [Bottom Up 234-Trees (video)](https://www.youtube.com/watch?v=DQdMYevEyE4&index=4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6)
+        - [x] [Top Down 234-Trees (video)](https://www.youtube.com/watch?v=2679VQ26Fp4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=5)
 
     - [x] **B-Trees**
         - fun fact: it's a mystery, but the B could stand for Boeing, Balanced, or Bayer (co-inventor)
@@ -653,11 +649,11 @@ Then test it out on a computer to make sure it's not buggy from syntax.
             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.
-        - [x] B-Tree: https://en.wikipedia.org/wiki/B-tree
-        - [x] Introduction to B-Trees: https://www.youtube.com/watch?v=I22wEC1tTGo&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=6
-        - [x] B-Tree Definition and Insertion: https://www.youtube.com/watch?v=s3bCdZGrgpA&index=7&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6
-        - [x] B-Tree Deletion: https://www.youtube.com/watch?v=svfnVhJOfMc&index=8&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6
-        - [x] MIT 6.851 - Memory Hierarchy Models: https://www.youtube.com/watch?v=V3omVLzI0WE&index=7&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf
+        - [x] [B-Tree](https://en.wikipedia.org/wiki/B-tree)
+        - [x] [Introduction to B-Trees (video)](https://www.youtube.com/watch?v=I22wEC1tTGo&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=6)
+        - [x] [B-Tree Definition and Insertion (video)](https://www.youtube.com/watch?v=s3bCdZGrgpA&index=7&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6)
+        - [x] [B-Tree Deletion (video)](https://www.youtube.com/watch?v=svfnVhJOfMc&index=8&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6)
+        - [x] [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)
 
@@ -671,17 +667,16 @@ Then test it out on a computer to make sure it's not buggy from syntax.
             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.
         - [x] Aduni - Algorithms - Lecture 4
-            link jumps to starting point:
-            https://youtu.be/1W3x0f_RmUo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3871
-        - [x] Aduni - Algorithms - Lecture 5: https://www.youtube.com/watch?v=hm2GHwyKF1o&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=5
-        - [x] https://en.wikipedia.org/wiki/Red%E2%80%93black_tree
-        - [x] https://www.topcoder.com/community/data-science/data-science-tutorials/an-introduction-to-binary-search-and-red-black-trees/
+            [link jumps to starting point (video)](https://youtu.be/1W3x0f_RmUo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3871)
+        - [x] [Aduni - Algorithms - Lecture 5 (video)](https://www.youtube.com/watch?v=hm2GHwyKF1o&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=5)
+        - [x] [Black Tree](https://en.wikipedia.org/wiki/Red%E2%80%93black_tree)
+        - [x] [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/)
 
 - ### 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
-    - [x] https://en.wikipedia.org/wiki/K-ary_tree
+    - [x] [K-Ary Tree](https://en.wikipedia.org/wiki/K-ary_tree)
 
 ## Sorting
 
@@ -689,50 +684,50 @@ Then test it out on a computer to make sure it's not buggy from syntax.
     - Implement sorts & know best case/worst case, average complexity of each:
         - no bubble sort - it's terrible - O(n^2), except when n <= 16
     - [x] stability in sorting algorithms ("Is Quicksort stable?")
-        - https://en.wikipedia.org/wiki/Sorting_algorithm#Stability
-        - http://stackoverflow.com/questions/1517793/stability-in-sorting-algorithms
-        - http://www.geeksforgeeks.org/stability-in-sorting-algorithms/
-        - http://homepages.math.uic.edu/~leon/cs-mcs401-s08/handouts/stability.pdf
+        - [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)
     - [x] 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.
-        - http://www.geeksforgeeks.org/merge-sort-for-linked-list/
+        - [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.
 
-- [x] Bubble Sort: https://www.youtube.com/watch?v=P00xJgWzz2c&index=1&list=PL89B61F78B552C1AB
-- [x] Analyzing Bubble Sort: https://www.youtube.com/watch?v=ni_zk257Nqo&index=7&list=PL89B61F78B552C1AB
-- [x] Insertion Sort, Merge Sort: https://www.youtube.com/watch?v=Kg4bqzAqRBM&index=3&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb
-- [x] Insertion Sort: https://www.youtube.com/watch?v=c4BRHC7kTaQ&index=2&list=PL89B61F78B552C1AB
-- [x] Merge Sort: https://www.youtube.com/watch?v=GCae1WNvnZM&index=3&list=PL89B61F78B552C1AB
-- [x] Quicksort: https://www.youtube.com/watch?v=y_G9BkAm6B8&index=4&list=PL89B61F78B552C1AB
-- [x] Selection Sort: https://www.youtube.com/watch?v=6nDMgr0-Yyo&index=8&list=PL89B61F78B552C1AB
+- [x] [Bubble Sort (video)](https://www.youtube.com/watch?v=P00xJgWzz2c&index=1&list=PL89B61F78B552C1AB)
+- [x] [Analyzing Bubble Sort (video)](https://www.youtube.com/watch?v=ni_zk257Nqo&index=7&list=PL89B61F78B552C1AB)
+- [x] [Insertion Sort, Merge Sort (video)](https://www.youtube.com/watch?v=Kg4bqzAqRBM&index=3&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb)
+- [x] [Insertion Sort (video)](https://www.youtube.com/watch?v=c4BRHC7kTaQ&index=2&list=PL89B61F78B552C1AB)
+- [x] [Merge Sort (video)](https://www.youtube.com/watch?v=GCae1WNvnZM&index=3&list=PL89B61F78B552C1AB)
+- [x] [Quicksort (video)](https://www.youtube.com/watch?v=y_G9BkAm6B8&index=4&list=PL89B61F78B552C1AB)
+- [x] [Selection Sort (video)](https://www.youtube.com/watch?v=6nDMgr0-Yyo&index=8&list=PL89B61F78B552C1AB)
 
 - [x] Stanford lectures on sorting:
-    - [x] https://www.youtube.com/watch?v=ENp00xylP7c&index=15&list=PLFE6E58F856038C69
-    - [x] https://www.youtube.com/watch?v=y4M9IVgrVKo&index=16&list=PLFE6E58F856038C69
+    - [x] [Lecture 15 | Programming Abstractions (video)](https://www.youtube.com/watch?v=ENp00xylP7c&index=15&list=PLFE6E58F856038C69)
+    - [x] [Lecture 16 | Programming Abstractions (video)](https://www.youtube.com/watch?v=y4M9IVgrVKo&index=16&list=PLFE6E58F856038C69)
 
 - [x] Shai Simonson, [Aduni.org](http://www.aduni.org/):
-    - [x] https://www.youtube.com/watch?v=odNJmw5TOEE&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=2
-    - [x] https://www.youtube.com/watch?v=hj8YKFTFKEE&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=3
+    - [x] [Algorithms - Sorting - Lecture 2 (video)](https://www.youtube.com/watch?v=odNJmw5TOEE&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=2)
+    - [x] [Algorithms - Sorting II - Lecture 3 (video)](https://www.youtube.com/watch?v=hj8YKFTFKEE&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=3)
 
 - [x] Steven Skiena lectures on sorting:
-    - [x] lecture begins at 26:46: https://youtu.be/ute-pmMkyuk?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1600
-    - [x] lecture begins at 27:40: https://www.youtube.com/watch?v=yLvp-pB8mak&index=8&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b
-    - [x] lecture begins at 35:00: https://www.youtube.com/watch?v=q7K9otnzlfE&index=9&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b
-    - [x] lecture begins at 23:50: https://www.youtube.com/watch?v=TvqIGu9Iupw&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=10
+    - [x] [lecture begins at 26:46 (video)](https://youtu.be/ute-pmMkyuk?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1600)
+    - [x] [lecture begins at 27:40 (video)](https://www.youtube.com/watch?v=yLvp-pB8mak&index=8&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b)
+    - [x] [lecture begins at 35:00 (video)](https://www.youtube.com/watch?v=q7K9otnzlfE&index=9&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b)
+    - [x] [lecture begins at 23:50 (video)](https://www.youtube.com/watch?v=TvqIGu9Iupw&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=10)
 
 - [x] UC Berkeley:
-    - [x] CS 61B Lecture 29: Sorting I: https://www.youtube.com/watch?v=EiUvYS2DT6I&list=PL4BBB74C7D2A1049C&index=29
-    - [x] CS 61B Lecture 30: Sorting II: https://www.youtube.com/watch?v=2hTY3t80Qsk&list=PL4BBB74C7D2A1049C&index=30
-    - [x] CS 61B Lecture 32: Sorting III: https://www.youtube.com/watch?v=Y6LOLpxg6Dc&index=32&list=PL4BBB74C7D2A1049C
-    - [x] CS 61B Lecture 33: Sorting V: https://www.youtube.com/watch?v=qNMQ4ly43p4&index=33&list=PL4BBB74C7D2A1049C
+    - [x] [CS 61B Lecture 29: Sorting I (video)](https://www.youtube.com/watch?v=EiUvYS2DT6I&list=PL4BBB74C7D2A1049C&index=29)
+    - [x] [CS 61B Lecture 30: Sorting II (video)](https://www.youtube.com/watch?v=2hTY3t80Qsk&list=PL4BBB74C7D2A1049C&index=30)
+    - [x] [CS 61B Lecture 32: Sorting III (video)](https://www.youtube.com/watch?v=Y6LOLpxg6Dc&index=32&list=PL4BBB74C7D2A1049C)
+    - [x] [CS 61B Lecture 33: Sorting V (video)](https://www.youtube.com/watch?v=qNMQ4ly43p4&index=33&list=PL4BBB74C7D2A1049C)
 
 - [x] - Merge sort code:
-    - [x] Using output array: http://www.cs.yale.edu/homes/aspnes/classes/223/examples/sorting/mergesort.c
-    - [x] In-place: https://github.com/jwasham/practice-cpp/blob/master/merge_sort/merge_sort.cc
+    - [x] [Using output array](http://www.cs.yale.edu/homes/aspnes/classes/223/examples/sorting/mergesort.c)
+    - [x] [In-place](https://github.com/jwasham/practice-cpp/blob/master/merge_sort/merge_sort.cc)
 - [x] - Quick sort code:
-    - [x] http://www.cs.yale.edu/homes/aspnes/classes/223/examples/randomization/quick.c
-    - [x] https://github.com/jwasham/practice-c/blob/master/quick_sort/quick_sort.c
+    - [x] [Implementation](http://www.cs.yale.edu/homes/aspnes/classes/223/examples/randomization/quick.c)
+    - [x] [Implementation](https://github.com/jwasham/practice-c/blob/master/quick_sort/quick_sort.c)
 
 - [x] Implement:
     - [x] Mergesort: O(n log n) average and worst case
@@ -741,11 +736,11 @@ Then test it out on a computer to make sure it's not buggy from syntax.
     - For heapsort, see Heap data structure above.
 
 - [x] For curiosity - not required:
-    - [x] Radix Sort: http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#radixSort
-    - [x] Radix Sort: https://www.youtube.com/watch?v=xhr26ia4k38
-    - [x] Radix Sort, Counting Sort (linear time given constraints): https://www.youtube.com/watch?v=Nz1KZXbghj8&index=7&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb
-    - [x] Randomization: Matrix Multiply, Quicksort, Freivalds' algorithm: https://www.youtube.com/watch?v=cNB2lADK3_s&index=8&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp
-    - [x] Sorting in Linear Time: https://www.youtube.com/watch?v=pOKy3RZbSws&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf&index=14
+    - [x] [Radix Sort]http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#radixSort
+    - [x] [Radix Sort (video)](https://www.youtube.com/watch?v=xhr26ia4k38)
+    - [x] [Radix Sort, Counting Sort (linear time given constraints) (video)](https://www.youtube.com/watch?v=Nz1KZXbghj8&index=7&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb)
+    - [x] [Randomization: Matrix Multiply, Quicksort, Freivalds' algorithm (video)](https://www.youtube.com/watch?v=cNB2lADK3_s&index=8&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp)
+    - [x] [Sorting in Linear Time (video)](https://www.youtube.com/watch?v=pOKy3RZbSws&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf&index=14)
 
 ## Graphs
 
@@ -761,37 +756,37 @@ Graphs can be used to represent many problems in computer science, so this secti
     - When asked a question, look for a graph-based solution first, then move on if none.
 
 - [x] Skiena Lectures - great intro:
-    - [x] CSE373 2012 - Lecture 11 - Graph Data Structures: https://www.youtube.com/watch?v=OiXxhDrFruw&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=11
-    - [x] CSE373 2012 - Lecture 12 - Breadth-First Search: https://www.youtube.com/watch?v=g5vF8jscteo&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=12
-    - [x] CSE373 2012 - Lecture 13 - Graph Algorithms: https://www.youtube.com/watch?v=S23W6eTcqdY&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=13
-    - [x] CSE373 2012 - Lecture 14 - Graph Algorithms (con't): https://www.youtube.com/watch?v=WitPBKGV0HY&index=14&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b
-    - [x] CSE373 2012 - Lecture 15 - Graph Algorithms (con't 2): https://www.youtube.com/watch?v=ia1L30l7OIg&index=15&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b
-    - [x] CSE373 2012 - Lecture 16 - Graph Algorithms (con't 3): https://www.youtube.com/watch?v=jgDOQq6iWy8&index=16&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b
+    - [x] [CSE373 2012 - Lecture 11 - Graph Data Structures (video)](https://www.youtube.com/watch?v=OiXxhDrFruw&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=11)
+    - [x] [CSE373 2012 - Lecture 12 - Breadth-First Search (video)](https://www.youtube.com/watch?v=g5vF8jscteo&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=12)
+    - [x] [CSE373 2012 - Lecture 13 - Graph Algorithms (video)](https://www.youtube.com/watch?v=S23W6eTcqdY&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=13)
+    - [x] [CSE373 2012 - Lecture 14 - Graph Algorithms (con't) (video)](https://www.youtube.com/watch?v=WitPBKGV0HY&index=14&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b)
+    - [x] [CSE373 2012 - Lecture 15 - Graph Algorithms (con't 2) (video)](https://www.youtube.com/watch?v=ia1L30l7OIg&index=15&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b)
+    - [x] [CSE373 2012 - Lecture 16 - Graph Algorithms (con't 3) (video)](https://www.youtube.com/watch?v=jgDOQq6iWy8&index=16&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b)
 
 - [x] Graphs (review and more):
 
-    - [x] 6.006 Single-Source Shortest Paths Problem: https://www.youtube.com/watch?v=Aa2sqUhIn-E&index=15&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb
-    - [x] 6.006 Dijkstra: https://www.youtube.com/watch?v=2E7MmKv0Y24&index=16&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb
-    - [x] 6.006 Bellman-Ford: https://www.youtube.com/watch?v=ozsuci5pIso&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=17
-    - [x] 6.006 Speeding Up Dijkstra: https://www.youtube.com/watch?v=CHvQ3q_gJ7E&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=18
-    - [x] Aduni: Graph Algorithms I - Topological Sorting, Minimum Spanning Trees, Prim's Algorithm -  Lecture 6: https://www.youtube.com/watch?v=i_AQT_XfvD8&index=6&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm
-    - [x] Aduni: Graph Algorithms II - DFS, BFS, Kruskal's Algorithm, Union Find Data Structure - Lecture 7: https://www.youtube.com/watch?v=ufj5_bppBsA&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=7
-    - [x] Aduni: Graph Algorithms III: Shortest Path - Lecture 8: https://www.youtube.com/watch?v=DiedsPsMKXc&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=8
-    - [x] Aduni: Graph Alg. IV: Intro to geometric algorithms - Lecture 9: https://www.youtube.com/watch?v=XIAQRlNkJAw&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=9
-    - [x] CS 61B 2014 (starting at 58:09): https://youtu.be/dgjX4HdMI-Q?list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&t=3489
-    - [x] CS 61B 2014: Weighted graphs: https://www.youtube.com/watch?v=aJjlQCFwylA&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=19
-    - [x] Greedy Algorithms: Minimum Spanning Tree: https://www.youtube.com/watch?v=tKwnms5iRBU&index=16&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp
-    - [x] Strongly Connected Components Kosaraju's Algorithm Graph Algorithm: https://www.youtube.com/watch?v=RpgcYiky7uw
+    - [x] [6.006 Single-Source Shortest Paths Problem (video)](https://www.youtube.com/watch?v=Aa2sqUhIn-E&index=15&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb)
+    - [x] [6.006 Dijkstra (video)](https://www.youtube.com/watch?v=2E7MmKv0Y24&index=16&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb)
+    - [x] [6.006 Bellman-Ford (video)](https://www.youtube.com/watch?v=ozsuci5pIso&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=17)
+    - [x] [6.006 Speeding Up Dijkstra (video)](https://www.youtube.com/watch?v=CHvQ3q_gJ7E&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=18)
+    - [x] [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)
+    - [x] [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)
+    - [x] [Aduni: Graph Algorithms III: Shortest Path - Lecture 8 (video)](https://www.youtube.com/watch?v=DiedsPsMKXc&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=8)
+    - [x] [Aduni: Graph Alg. IV: Intro to geometric algorithms - Lecture 9 (video)](https://www.youtube.com/watch?v=XIAQRlNkJAw&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=9)
+    - [x] [CS 61B 2014 (starting at 58:09) (video)](https://youtu.be/dgjX4HdMI-Q?list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&t=3489)
+    - [x] [CS 61B 2014: Weighted graphs (video)](https://www.youtube.com/watch?v=aJjlQCFwylA&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=19)
+    - [x] [Greedy Algorithms: Minimum Spanning Tree (video)](https://www.youtube.com/watch?v=tKwnms5iRBU&index=16&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp)
+    - [x] [Strongly Connected Components Kosaraju's Algorithm Graph Algorithm (video)](https://www.youtube.com/watch?v=RpgcYiky7uw)
 
 - Full Coursera Course:
-    - [x] Algorithms on Graphs: https://www.coursera.org/learn/algorithms-on-graphs/home/welcome
+    - [x] [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:
     - [x] Dijkstra's algorithm - see above - 6.006
     - [x] A*
-        - [x] https://en.wikipedia.org/wiki/A*_search_algorithm
-        - [x] A* Pathfinding Tutorial: https://www.youtube.com/watch?v=KNXfSOx4eEE
-        - [x] A* Pathfinding (E01: algorithm explanation): https://www.youtube.com/watch?v=-L-WgKMFuhE
+        - [x] [A Search Algorithm](https://en.wikipedia.org/wiki/A*_search_algorithm)
+        - [x] [A* Pathfinding Tutorial (video)](https://www.youtube.com/watch?v=KNXfSOx4eEE)
+        - [x] [A* Pathfinding (E01: algorithm explanation) (video)](https://www.youtube.com/watch?v=-L-WgKMFuhE)
 
 - I'll implement:
     - [x] DFS with adjacency list (recursive)
@@ -815,92 +810,92 @@ You'll get more graph practice in Skiena's book (see Books section below) and th
 
 - ### Recursion
     - [x] Stanford lectures on recursion & backtracking:
-        - [x] https://www.youtube.com/watch?v=gl3emqCuueQ&list=PLFE6E58F856038C69&index=8
-        - [x] https://www.youtube.com/watch?v=uFJhEPrbycQ&list=PLFE6E58F856038C69&index=9
-        - [x] https://www.youtube.com/watch?v=NdF1QDTRkck&index=10&list=PLFE6E58F856038C69
-        - [x] https://www.youtube.com/watch?v=p-gpaIGRCQI&list=PLFE6E58F856038C69&index=11
+        - [x] [Lecture 8 | Programming Abstractions (video)](https://www.youtube.com/watch?v=gl3emqCuueQ&list=PLFE6E58F856038C69&index=8)
+        - [x] [Lecture 9 | Programming Abstractions (video)](https://www.youtube.com/watch?v=uFJhEPrbycQ&list=PLFE6E58F856038C69&index=9)
+        - [x] [Lecture 10 | Programming Abstractions (video)](https://www.youtube.com/watch?v=NdF1QDTRkck&index=10&list=PLFE6E58F856038C69)
+        - [x] [Lecture 11 | Programming Abstractions (video)](https://www.youtube.com/watch?v=p-gpaIGRCQI&list=PLFE6E58F856038C69&index=11)
     - when it is appropriate to use it
     - how is tail recursion better than not?
-        - [x] https://www.quora.com/What-is-tail-recursion-Why-is-it-so-bad
-        - [x] https://www.youtube.com/watch?v=L1jjXGfxozc
+        - [x] [What Is Tail Recursion Why Is It So Bad?](https://www.quora.com/What-is-tail-recursion-Why-is-it-so-bad)
+        - [x] [Tail Recursion (video)](https://www.youtube.com/watch?v=L1jjXGfxozc)
  
 - ### 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.
     - [x] Videos:
         - the Skiena videos can be hard to follow since he sometimes uses the whiteboard, which is too small to see
-        - [x] Skiena: CSE373 2012 - Lecture 19 - Introduction to Dynamic Programming: https://youtu.be/Qc2ieXRgR0k?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1718
-        - [x] Skiena: CSE373 2012 - Lecture 20 - Edit Distance: https://youtu.be/IsmMhMdyeGY?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=2749
-        - [x] Skiena: CSE373 2012 - Lecture 21 - Dynamic Programming Examples: https://youtu.be/o0V9eYF4UI8?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=406
-        - [x] Skiena: CSE373 2012 - Lecture 22 - Applications of Dynamic Programming: https://www.youtube.com/watch?v=dRbMC1Ltl3A&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=22
-        - [x] Simonson: Dynamic Programming 0 (starts at 59:18): https://youtu.be/J5aJEcOr6Eo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3558
-        - [x] Simonson: Dynamic Programming I - Lecture 11: https://www.youtube.com/watch?v=0EzHjQ_SOeU&index=11&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm
-        - [x] Simonson: Dynamic programming II - Lecture 12: https://www.youtube.com/watch?v=v1qiRwuJU7g&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=12
+        - [x] [Skiena: CSE373 2012 - Lecture 19 - Introduction to Dynamic Programming (video)](https://youtu.be/Qc2ieXRgR0k?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1718)
+        - [x] [Skiena: CSE373 2012 - Lecture 20 - Edit Distance (video)](https://youtu.be/IsmMhMdyeGY?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=2749)
+        - [x] [Skiena: CSE373 2012 - Lecture 21 - Dynamic Programming Examples (video)](https://youtu.be/o0V9eYF4UI8?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=406)
+        - [x] [Skiena: CSE373 2012 - Lecture 22 - Applications of Dynamic Programming (video)](https://www.youtube.com/watch?v=dRbMC1Ltl3A&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=22)
+        - [x] [Simonson: Dynamic Programming 0 (starts at 59:18) (video)](https://youtu.be/J5aJEcOr6Eo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3558)
+        - [x] [Simonson: Dynamic Programming I - Lecture 11 (video)](https://www.youtube.com/watch?v=0EzHjQ_SOeU&index=11&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm)
+        - [x] [Simonson: Dynamic programming II - Lecture 12 (video)](https://www.youtube.com/watch?v=v1qiRwuJU7g&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=12)
         - [x] List of individual DP problems (each is short):
-            https://www.youtube.com/playlist?list=PLrmLmBdmIlpsHaNTPP_jHHDx_os9ItYXr
+            [Dynamic Programming (video)](https://www.youtube.com/playlist?list=PLrmLmBdmIlpsHaNTPP_jHHDx_os9ItYXr)
     - [x] Yale Lecture notes: 
-        - [x] http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#dynamicProgramming
+        - [x] [Dynamic Programming](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#dynamicProgramming)
     - [x] Coursera:
-        - [x] The RNA secondary structure problem: https://www.coursera.org/learn/algorithmic-thinking-2/lecture/80RrW/the-rna-secondary-structure-problem
-        - [x] A dynamic programming algorithm: https://www.coursera.org/learn/algorithmic-thinking-2/lecture/PSonq/a-dynamic-programming-algorithm
-        - [x] Illustrating the DP algorithm: https://www.coursera.org/learn/algorithmic-thinking-2/lecture/oUEK2/illustrating-the-dp-algorithm
-        - [x] Running time of the DP algorithm: https://www.coursera.org/learn/algorithmic-thinking-2/lecture/nfK2r/running-time-of-the-dp-algorithm
-        - [x] DP vs. recursive implementation: https://www.coursera.org/learn/algorithmic-thinking-2/lecture/M999a/dp-vs-recursive-implementation
-        - [x] Global pairwise sequence alignment: https://www.coursera.org/learn/algorithmic-thinking-2/lecture/UZ7o6/global-pairwise-sequence-alignment
-        - [x] Local pairwise sequence alignment: https://www.coursera.org/learn/algorithmic-thinking-2/lecture/WnNau/local-pairwise-sequence-alignment
+        - [x] [The RNA secondary structure problem (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/80RrW/the-rna-secondary-structure-problem)
+        - [x] [A dynamic programming algorithm (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/PSonq/a-dynamic-programming-algorithm)
+        - [x] [Illustrating the DP algorithm (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/oUEK2/illustrating-the-dp-algorithm)
+        - [x] [Running time of the DP algorithm (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/nfK2r/running-time-of-the-dp-algorithm)
+        - [x] [DP vs. recursive implementation (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/M999a/dp-vs-recursive-implementation)
+        - [x] [Global pairwise sequence alignment (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/UZ7o6/global-pairwise-sequence-alignment)
+        - [x] [Local pairwise sequence alignment (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/WnNau/local-pairwise-sequence-alignment)
 
 - ### Combinatorics (n choose k) & Probability
-    - [x] Math Skills: How to find Factorial, Permutation and Combination (Choose): https://www.youtube.com/watch?v=8RRo6Ti9d0U
-    - [x] Make School: Probability: https://www.youtube.com/watch?v=sZkAAk9Wwa4
-    - [x] Make School: More Probability and Markov Chains: https://www.youtube.com/watch?v=dNaJg-mLobQ
+    - [x] [Math Skills: How to find Factorial, Permutation and Combination (Choose) (video)](https://www.youtube.com/watch?v=8RRo6Ti9d0U)
+    - [x] [Make School: Probability (video)](https://www.youtube.com/watch?v=sZkAAk9Wwa4)
+    - [x] [Make School: More Probability and Markov Chains (video)](https://www.youtube.com/watch?v=dNaJg-mLobQ)
     - [x] Khan Academy:
         - Course layout:
-            - [x] https://www.khanacademy.org/math/probability/probability-and-combinatorics-topic 
+            - [x] [Basic Theoretical Probability](https://www.khanacademy.org/math/probability/probability-and-combinatorics-topic)
         - Just the videos - 41 (each are simple and each are short):
-            - [x] https://www.youtube.com/watch?v=uzkc-qNVoOk&list=PLC58778F28211FA19
+            - [x] [Probability Explained (video)](https://www.youtube.com/watch?v=uzkc-qNVoOk&list=PLC58778F28211FA19)
 
 - ### NP, NP-Complete and Approximation Algorithms
     - Know about the most famous classes of NP-complete problems, such as traveling salesman and the knapsack problem,
         and be able to recognize them when an interviewer asks you them in disguise.
     - Know what NP-complete means.
-    - [x] Computational Complexity: https://www.youtube.com/watch?v=moPtwq_cVH8&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=23
+    - [x] [Computational Complexity (video)](https://www.youtube.com/watch?v=moPtwq_cVH8&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=23)
     - [ ] Simonson:
-        - [x] https://youtu.be/qcGnJ47Smlo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=2939
-        - [x] https://www.youtube.com/watch?v=e0tGC6ZQdQE&index=16&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm
-        - [ ] https://www.youtube.com/watch?v=fCX1BGT3wjE&index=17&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm
-        - [ ] https://www.youtube.com/watch?v=NKLDp3Rch3M&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=18
+        - [x] [Greedy Algs. II & Intro to NP Completeness (video)](https://youtu.be/qcGnJ47Smlo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=2939)
+        - [x] [NP Completeness II & Reductions (video)](https://www.youtube.com/watch?v=e0tGC6ZQdQE&index=16&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm)
+        - [ ] [NP Completeness III (Video)](https://www.youtube.com/watch?v=fCX1BGT3wjE&index=17&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm)
+        - [ ] [NP Completeness IV (video)](https://www.youtube.com/watch?v=NKLDp3Rch3M&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=18)
     - [ ] Skiena:
-        - [x] CSE373 2012 - Lecture 23 - Introduction to NP-Completeness: https://youtu.be/KiK5TVgXbFg?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1508
-        - [ ] CSE373 2012 - Lecture 24 - NP-Completeness Proofs: https://www.youtube.com/watch?v=27Al52X3hd4&index=24&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b
-        - [ ] CSE373 2012 - Lecture 25 - NP-Completeness Challenge: https://www.youtube.com/watch?v=xCPH4gwIIXM&index=25&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b
-    - [x] Complexity: P, NP, NP-completeness, Reductions: https://www.youtube.com/watch?v=eHZifpgyH_4&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=22
-    - [x] Complexity: Approximation Algorithms: https://www.youtube.com/watch?v=MEz1J9wY2iM&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=24
-    - [ ] Complexity: Fixed-Parameter Algorithms: https://www.youtube.com/watch?v=4q-jmGrmxKs&index=25&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp
+        - [x] [CSE373 2012 - Lecture 23 - Introduction to NP-CompletenessNP Completeness IV (video)](https://youtu.be/KiK5TVgXbFg?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1508)
+        - [ ] [CSE373 2012 - Lecture 24 - NP-Completeness Proofs (video)](https://www.youtube.com/watch?v=27Al52X3hd4&index=24&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b)
+        - [ ] [CSE373 2012 - Lecture 25 - NP-Completeness Challenge (video)](https://www.youtube.com/watch?v=xCPH4gwIIXM&index=25&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b)
+    - [x] [Complexity: P, NP, NP-completeness, Reductions (video)](https://www.youtube.com/watch?v=eHZifpgyH_4&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=22)
+    - [x] [Complexity: Approximation Algorithms (video)](https://www.youtube.com/watch?v=MEz1J9wY2iM&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=24)
+    - [ ] [Complexity: Fixed-Parameter Algorithms (video)](https://www.youtube.com/watch?v=4q-jmGrmxKs&index=25&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp)
     - Peter Norvik discusses near-optimal solutions to traveling salesman problem:
-        - http://nbviewer.jupyter.org/url/norvig.com/ipython/TSP.ipynb
+        - [Jupyter Notebook](http://nbviewer.jupyter.org/url/norvig.com/ipython/TSP.ipynb)
     - Pages 1048 - 1140 in CLRS if you have it.
 
 - ### Garbage collection
-    - [x] Garbage collection (Java); Augmenting data str: https://www.youtube.com/watch?v=StdfeXaKGEc&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=25
-    - [x] Compilers: https://www.youtube.com/playlist?list=PLO9y7hOkmmSGTy5z6HZ-W4k2y8WXF7Bff
-    - [x] GC in Python: https://www.youtube.com/watch?v=iHVs_HkjdmI
-    - [x] Deep Dive Java: Garbage Collection is Good!: https://www.infoq.com/presentations/garbage-collection-benefits
-    - [x] Deep Dive Python: Garbage Collection in CPython: https://www.youtube.com/watch?v=P-8Z0-MhdQs&list=PLdzf4Clw0VbOEWOS_sLhT_9zaiQDrS5AR&index=3
+    - [x] [Garbage collection (Java); Augmenting data str (video)](https://www.youtube.com/watch?v=StdfeXaKGEc&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=25)
+    - [x] [Compilers (video)](https://www.youtube.com/playlist?list=PLO9y7hOkmmSGTy5z6HZ-W4k2y8WXF7Bff)
+    - [x] [GC in Python (video)](https://www.youtube.com/watch?v=iHVs_HkjdmI)
+    - [x] [Deep Dive Java: Garbage Collection is Good!](https://www.infoq.com/presentations/garbage-collection-benefits)
+    - [x] [Deep Dive Python: Garbage Collection in CPython (video)](https://www.youtube.com/watch?v=P-8Z0-MhdQs&list=PLdzf4Clw0VbOEWOS_sLhT_9zaiQDrS5AR&index=3)
 
 - ### Caches
     - [x] LRU cache:
-        - [x] The Magic of LRU Cache (100 Days of Google Dev): https://www.youtube.com/watch?v=R5ON3iwx78M
-        - [x] Implementing LRU: https://www.youtube.com/watch?v=bq6N7Ym81iI
-        - [x] LeetCode - 146 LRU Cache (C++): https://www.youtube.com/watch?v=8-FZRAjR7qU
+        - [x] [The Magic of LRU Cache (100 Days of Google Dev) (video)](https://www.youtube.com/watch?v=R5ON3iwx78M)
+        - [x] [Implementing LRU (video)](https://www.youtube.com/watch?v=bq6N7Ym81iI)
+        - [x] [LeetCode - 146 LRU Cache (C++) (video)](https://www.youtube.com/watch?v=8-FZRAjR7qU)
     - [x] CPU cache:
-        - [x] MIT 6.004 L15: The Memory Hierarchy: https://www.youtube.com/watch?v=vjYF_fAZI5E&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-&index=24
-        - [x] MIT 6.004 L16: Cache Issues: https://www.youtube.com/watch?v=ajgC3-pyGlk&index=25&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-
+        - [x] [MIT 6.004 L15: The Memory Hierarchy (video)](https://www.youtube.com/watch?v=vjYF_fAZI5E&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-&index=24)
+        - [x] [MIT 6.004 L16: Cache Issues (video)](https://www.youtube.com/watch?v=ajgC3-pyGlk&index=25&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-)
 
 - ### Processes and Threads
     - [x] Computer Science 162 - Operating Systems (25 videos):
         - for precesses and threads see videos 1-11
-        - https://www.youtube.com/playlist?list=PL-XXv-cvA_iBDyz-ba4yDskqMDY6A1w_c
-    - https://www.quora.com/What-is-the-difference-between-a-process-and-a-thread
+        - [Operating Systems and System Programming (video)](https://www.youtube.com/playlist?list=PL-XXv-cvA_iBDyz-ba4yDskqMDY6A1w_c)
+    - [What Is The Difference Between A Process And A Thread?](https://www.quora.com/What-is-the-difference-between-a-process-and-a-thread)
     - Covers:
         - Processes, Threads, Concurrency issues
             - difference between processes and threads
@@ -920,15 +915,15 @@ You'll get more graph practice in Skiena's book (see Books section below) and th
         - Forking is really copy on write (read-only) until the new process writes to memory, then it does a full copy.
         - Context switching
             - How context switching is initiated by the operating system and underlying hardware
-    - [x] threads in C++ (series - 10 videos): https://www.youtube.com/playlist?list=PL5jc9xFGsL8E12so1wlMS0r0hTQoJL74M
-    - [x] concurrency in Python:
-        - [x] Short series on threads: https://www.youtube.com/playlist?list=PL1H1sBF1VAKVMONJWJkmUh6_p8g4F2oy1
-        - [x] Python Threads: https://www.youtube.com/watch?v=Bs7vPNbB9JM
-        - [x] Understanding the Python GIL (2010): https://www.youtube.com/watch?v=Obt-vMVdM8s
-            - reference: http://www.dabeaz.com/GIL
-        - [x] David Beazley - Python Concurrency From the Ground Up: LIVE! - PyCon 2015: https://www.youtube.com/watch?v=MCs5OvhV9S4
-        - [x] Keynote David Beazley - Topics of Interest (Python Asyncio): https://www.youtube.com/watch?v=ZzfHjytDceU
-        - [x] Mutex in Python: https://www.youtube.com/watch?v=0zaPs8OtyKY
+    - [x] [threads in C++ (series - 10 videos)](https://www.youtube.com/playlist?list=PL5jc9xFGsL8E12so1wlMS0r0hTQoJL74M)
+    - [x] concurrency in Python (videos):
+        - [x] [Short series on threads](https://www.youtube.com/playlist?list=PL1H1sBF1VAKVMONJWJkmUh6_p8g4F2oy1)
+        - [x] [Python Threads](https://www.youtube.com/watch?v=Bs7vPNbB9JM)
+        - [x] [Understanding the Python GIL (2010)](https://www.youtube.com/watch?v=Obt-vMVdM8s)
+            - [reference](http://www.dabeaz.com/GIL)
+        - [x] [David Beazley - Python Concurrency From the Ground Up: LIVE! - PyCon 2015](https://www.youtube.com/watch?v=MCs5OvhV9S4)
+        - [x] [Keynote David Beazley - Topics of Interest (Python Asyncio)](https://www.youtube.com/watch?v=ZzfHjytDceU)
+        - [x] [Mutex in Python](https://www.youtube.com/watch?v=0zaPs8OtyKY)
 
 
     Scalability and System Design are very large topics with many topics and resources, since there is a lot to consider 
@@ -948,76 +943,68 @@ You'll get more graph practice in Skiena's book (see Books section below) and th
             - simplicity and robustness
             - tradeoffs
             - performance analysis and optimization
-    - [x] **START HERE**: System Design from HiredInTech: http://www.hiredintech.com/system-design/
-    - [x] https://www.quora.com/How-do-I-prepare-to-answer-design-questions-in-a-technical-interview?redirected_qid=1500023
-    - [x] 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/
-    - [x] Algorithm design: http://www.hiredintech.com/algorithm-design/
-    - [x] Database Normalization - 1NF, 2NF, 3NF and 4NF: https://www.youtube.com/watch?v=UrYLYV7WSHM
-    - [x] 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.
-    - [x] How to ace a systems design interview: http://www.palantir.com/2011/10/how-to-rock-a-systems-design-interview/
-    - [x] Numbers Everyone Should Know: http://everythingisdata.wordpress.com/2009/10/17/numbers-everyone-should-know/
-    - [x] 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
-    - [x] Transactions Across Datacenters: https://www.youtube.com/watch?v=srOgpXECblk
-    - [x] A plain english introduction to CAP Theorem: http://ksat.me/a-plain-english-introduction-to-cap-theorem/
+    - [x] **START HERE**: [System Design from HiredInTech](http://www.hiredintech.com/system-design/)
+    - [x] [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)
+    - [x] [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/)
+    - [x] [Algorithm design](http://www.hiredintech.com/algorithm-design/)
+    - [x] [Database Normalization - 1NF, 2NF, 3NF and 4NF (video)](https://www.youtube.com/watch?v=UrYLYV7WSHM)
+    - [x] [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.
+    - [x] [How to ace a systems design interview](http://www.palantir.com/2011/10/how-to-rock-a-systems-design-interview/)
+    - [x] [Numbers Everyone Should Know](http://everythingisdata.wordpress.com/2009/10/17/numbers-everyone-should-know/)
+    - [x] [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)
+    - [x] [Transactions Across Datacenters (video)](https://www.youtube.com/watch?v=srOgpXECblk)
+    - [x] [A plain english introduction to CAP Theorem](http://ksat.me/a-plain-english-introduction-to-cap-theorem/)
     - [x] 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
-    - [x] Consistent Hashing: http://www.tom-e-white.com/2007/11/consistent-hashing.html
-    - [x] NoSQL Patterns: http://horicky.blogspot.com/2009/11/nosql-patterns.html
-    - [x] Optional: UML 2.0 Series: https://www.youtube.com/watch?v=OkC7HKtiZC0&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc
+        - [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)
+    - [x] [Consistent Hashing](http://www.tom-e-white.com/2007/11/consistent-hashing.html)
+    - [x] [NoSQL Patterns](http://horicky.blogspot.com/2009/11/nosql-patterns.html)
+    - [x] [Optional: UML 2.0 Series (vido)](https://www.youtube.com/watch?v=OkC7HKtiZC0&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc)
     - [x] OOSE: Software Dev Using UML and Java (21 videos): 
         - Can skip this if you have a great grasp of OO and OO design practices.
-        - https://www.youtube.com/playlist?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO
+        - [OOSE: Software Dev Using UML and Java](https://www.youtube.com/playlist?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO)
     - [x] SOLID OOP Principles:
-        - [x] Bob Martin SOLID Principles of Object Oriented and Agile Design: https://www.youtube.com/watch?v=TMuno5RZNeE
-        - [x] SOLID Design Patterns in C#: https://www.youtube.com/playlist?list=PL8m4NUhTQU48oiGCSgCP1FiJEcg_xJzyQ
-        - [x] SOLID Principles: https://www.youtube.com/playlist?list=PL4CE9F710017EA77A
-        - [x] S - Single Responsibility Principle | Single responsibility to each Object
-            - http://www.oodesign.com/single-responsibility-principle.html
-            - http://www.javacodegeeks.com/2011/11/solid-single-responsibility-principle.html
-            - more flavor: https://docs.google.com/open?id=0ByOwmqah_nuGNHEtcU5OekdDMkk
-        - [x] O - Open/Closed Principal  | On production level Objects are ready for extension for not for modification
-            - http://www.oodesign.com/open-close-principle.html
-            - https://en.wikipedia.org/wiki/Open/closed_principle
-            - more flavor: http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgN2M5MTkwM2EtNWFkZC00ZTI3LWFjZTUtNTFhZGZiYmUzODc1&hl=en
-        - [x] L - Liskov Substitution Principal | Base Class and Derived class follow ‘IS A’ principal
-            - http://www.oodesign.com/liskov-s-substitution-principle.html
-            - http://stackoverflow.com/questions/56860/what-is-the-liskov-substitution-principle
-            - more flavor: http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgNzAzZjA5ZmItNjU3NS00MzQ5LTkwYjMtMDJhNDU5ZTM0MTlh&hl=en
-        - [x] I - Interface segregation principle | clients should not be forced to implement interfaces they don't use
-            - http://www.oodesign.com/interface-segregation-principle.html
-            - Interface Segregation Principle in 5 minutes: https://www.youtube.com/watch?v=3CtAfl7aXAQ
-            - more flavor: http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgOTViYjJhYzMtMzYxMC00MzFjLWJjMzYtOGJiMDc5N2JkYmJi&hl=en
-        - [x] D - Dependency Inversion principle | Reduce the dependency In composition of objects.
-            - http://www.oodesign.com/dependency-inversion-principle.html
-            - http://stackoverflow.com/questions/62539/what-is-the-dependency-inversion-principle-and-why-is-it-important
-            - more flavor: http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgMjdlMWIzNGUtZTQ0NC00ZjQ5LTkwYzQtZjRhMDRlNTQ3ZGMz&hl=en
+        - [x] [Bob Martin SOLID Principles of Object Oriented and Agile Design (video)](https://www.youtube.com/watch?v=TMuno5RZNeE)
+        - [x] [SOLID Design Patterns in C# (video)](https://www.youtube.com/playlist?list=PL8m4NUhTQU48oiGCSgCP1FiJEcg_xJzyQ)
+        - [x] [SOLID Principles (video)](https://www.youtube.com/playlist?list=PL4CE9F710017EA77A)
+        - [x] S - [Single Responsibility Principle](http://www.oodesign.com/single-responsibility-principle.html) | [Single responsibility to each Object](http://www.javacodegeeks.com/2011/11/solid-single-responsibility-principle.html)
+            - [more flavor](https://docs.google.com/open?id=0ByOwmqah_nuGNHEtcU5OekdDMkk)
+        - [x] O - [Open/Closed Principal](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)
+            - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgN2M5MTkwM2EtNWFkZC00ZTI3LWFjZTUtNTFhZGZiYmUzODc1&hl=en)
+        - [x] L - [Liskov Substitution Principal](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)
+            - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgNzAzZjA5ZmItNjU3NS00MzQ5LTkwYjMtMDJhNDU5ZTM0MTlh&hl=en)
+        - [x] I - [Interface segregation principle](http://www.oodesign.com/interface-segregation-principle.html) | clients should not be forced to implement interfaces they don't use 
+            - [Interface Segregation Principle in 5 minutes (video)](https://www.youtube.com/watch?v=3CtAfl7aXAQ)
+            - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgOTViYjJhYzMtMzYxMC00MzFjLWJjMzYtOGJiMDc5N2JkYmJi&hl=en)
+        - [x] D -[Dependency Inversion principle(http://www.oodesign.com/dependency-inversion-principle.html) | Reduce the dependency In composition of objects.
+            - [Why Is The Dependency Inversion Principle And Why Is It Important](http://stackoverflow.com/questions/62539/what-is-the-dependency-inversion-principle-and-why-is-it-important)
+            - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgMjdlMWIzNGUtZTQ0NC00ZjQ5LTkwYzQtZjRhMDRlNTQ3ZGMz&hl=en)
     - [x] Scalability:
-        - [x] Great overview: https://www.youtube.com/watch?v=-W9F__D3oY4
+        - [x] [Great overview (video)](https://www.youtube.com/watch?v=-W9F__D3oY4)
         - [x] Short series: 
-            - http://www.lecloud.net/post/7295452622/scalability-for-dummies-part-1-clones
-            - http://www.lecloud.net/post/7994751381/scalability-for-dummies-part-2-database
-            - http://www.lecloud.net/post/9246290032/scalability-for-dummies-part-3-cache
-            - http://www.lecloud.net/post/9699762917/scalability-for-dummies-part-4-asynchronism
-        - [x] Scalable Web Architecture and Distributed Systems: http://www.aosabook.org/en/distsys.html
-        - [x] Fallacies of Distributed Computing Explained: https://pages.cs.wisc.edu/~zuyu/files/fallacies.pdf
-        - [x] 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
-        - [x] Jeff Dean - Building Software Systems At Google and Lessons Learned: https://www.youtube.com/watch?v=modXC5IWTJI
-        - [x] Introduction to Architecting Systems for Scale: http://lethain.com/introduction-to-architecting-systems-for-scale/
-        - [x] Scaling mobile games to a global audience using App Engine and Cloud Datastore: https://www.youtube.com/watch?v=9nWyWwY2Onc
-        - [x] How Google Does Planet-Scale Engineering for Planet-Scale Infra: https://www.youtube.com/watch?v=H4vMcD7zKM0
-        - [x] The Importance of Algorithms: https://www.topcoder.com/community/data-science/data-science-tutorials/the-importance-of-algorithms/
-        - [x] Sharding: http://highscalability.com/blog/2009/8/6/an-unorthodox-approach-to-database-design-the-coming-of-the.html
-        - [x] Scale at Facebook (2009): https://www.infoq.com/presentations/Scale-at-Facebook
-        - [x] Scale at Facebook (2012), "Building for a Billion Users": https://www.youtube.com/watch?v=oodS71YtkGU
-        - [x] Engineering for the Long Game - Astrid Atkinson Keynote: https://www.youtube.com/watch?v=p0jGmgIrf_M&list=PLRXxvay_m8gqVlExPC5DG3TGWJTaBgqSA&index=4
-        - [x] 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
-        - [x] 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
-        - [x] How to Remove Duplicates in Large Datasets: https://blog.clevertap.com/how-to-remove-duplicates-in-large-datasets/
-        - [x] A look inside Etsy's scale and engineering culture with Jon Cowie: https://www.youtube.com/watch?v=3vV4YiqKm1o
+            - [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)
+        - [x] [Scalable Web Architecture and Distributed Systems](http://www.aosabook.org/en/distsys.html)
+        - [x] [Fallacies of Distributed Computing Explained](https://pages.cs.wisc.edu/~zuyu/files/fallacies.pdf)
+        - [x] [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)
+        - [x] [Jeff Dean - Building Software Systems At Google and Lessons Learned (video)](https://www.youtube.com/watch?v=modXC5IWTJI)
+        - [x] [Introduction to Architecting Systems for Scale](http://lethain.com/introduction-to-architecting-systems-for-scale/)
+        - [x] [Scaling mobile games to a global audience using App Engine and Cloud Datastore (video)](https://www.youtube.com/watch?v=9nWyWwY2Onc)
+        - [x] [How Google Does Planet-Scale Engineering for Planet-Scale Infra (video)](https://www.youtube.com/watch?v=H4vMcD7zKM0)
+        - [x] [The Importance of Algorithms](https://www.topcoder.com/community/data-science/data-science-tutorials/the-importance-of-algorithms/)
+        - [x] [Sharding](http://highscalability.com/blog/2009/8/6/an-unorthodox-approach-to-database-design-the-coming-of-the.html)
+        - [x] [Scale at Facebook (2009)](https://www.infoq.com/presentations/Scale-at-Facebook)
+        - [x] [Scale at Facebook (2012), "Building for a Billion Users" (video)](https://www.youtube.com/watch?v=oodS71YtkGU)
+        - [x] [Engineering for the Long Game - Astrid Atkinson Keynote(video)](https://www.youtube.com/watch?v=p0jGmgIrf_M&list=PLRXxvay_m8gqVlExPC5DG3TGWJTaBgqSA&index=4)
+        - [x] [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)
+        - [x] [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)
+        - [x] [How to Remove Duplicates in Large Datasets](https://blog.clevertap.com/how-to-remove-duplicates-in-large-datasets/)
+        - [x] [A look inside Etsy's scale and engineering culture with Jon Cowie (video)](https://www.youtube.com/watch?v=3vV4YiqKm1o)
         - [x] What Led Amazon to its Own Microservices Architecture: http://thenewstack.io/led-amazon-microservices-architecture/
         - [x] To Compress Or Not To Compress, That Was Uber's Question: https://eng.uber.com/trip-data-squeeze/
         - [x] Asyncio Tarantool Queue, Get In The Queue: http://highscalability.com/blog/2016/3/3/asyncio-tarantool-queue-get-in-the-queue.html