Added detail to the Coding Question Practice section.

Added an Additional Books section.

README.md

@@ -68,7 +68,6 @@ sometimes word-for-word in Google's coaching notes.
     - [String searching & manipulations](#string-searching--manipulations)
 - [Final Review](#final-review)
 - [Coding Question Practice](#coding-question-practice)
-- [Books](#books)
 - [Coding exercises/challenges](#coding-exerciseschallenges)
 - [Once you're closer to the interview](#once-youre-closer-to-the-interview)
 - [Your Resume](#your-resume)
@@ -78,6 +77,7 @@ sometimes word-for-word in Google's coaching notes.
 
 ---------------- Everything below this point is optional ----------------
 
+- [Additional Books](#additional-books)
 - [Additional Learning](#additional-learning)
     - [Unicode](#unicode)
     - [Endianness](#endianness)
@@ -1185,67 +1185,70 @@ You'll get more graph practice in Skiena's book (see Books section below) and th
 #### Sorts:
 
 - [ ] Merge Sort: https://www.youtube.com/watch?v=GCae1WNvnZM
-   
+
+
+---
 
 ## Coding Question Practice
 
-- [ ] [Great intro (copied from System Design section): Algorithm design:](http://www.hiredintech.com/algorithm-design/)
-- [ ] [Mathematics for Topcoders](https://www.topcoder.com/community/data-science/data-science-tutorials/mathematics-for-topcoders/)
-- [ ] [Dynamic Programming – From Novice to Advanced](https://www.topcoder.com/community/data-science/data-science-tutorials/dynamic-programming-from-novice-to-advanced/)
+Now that you know all the computer science topics above, it's time to practice answering coding problems.
 
-- [MIT Interview Materials](https://web.archive.org/web/20160906124824/http://courses.csail.mit.edu/iap/interview/materials.php)
+**Coding question practice is not about memorizing answers to programming problems.**
 
-- [Exercises for getting better at a given language](http://exercism.io/languages)
+Why you need to practice doing programming problems:
+- problem recognition, and where the right data structures and algorithms fit in
+- gathering requirements for the problem
+- talking your way through the problem like you will in the interview
+- coding on a whiteboard or paper, not a computer
+- coming up with time and space complexity for your solutions
+- testing your solutions
+
+There is a great intro for methodical, communicative problem solving in an interview. You'll get this from the programming 
+interview books, too, but I found this outstanding:
+- [ ] [Algorithm design](http://www.hiredintech.com/algorithm-design/)
 
-## Books
+No whiteboard at home? That makes sense. I'm a weirdo and have a big whiteboard. Instead of a whiteboard, pick up a 
+large drawing pad from an art store. You can sit on the couch and practice. This is my "sofa whiteboard". 
+I added the pen in the photo for scale.
 
-### Mentioned in Google Coaching
+![my sofa whiteboard](https://dng5l3qzreal6.cloudfront.net/2016/Oct/art_board_sm_2-1476233630368.jpg)
 
-**Read and do exercises:**
+Supplemental:
+
+- [Mathematics for Topcoders](https://www.topcoder.com/community/data-science/data-science-tutorials/mathematics-for-topcoders/)
+- [Dynamic Programming – From Novice to Advanced](https://www.topcoder.com/community/data-science/data-science-tutorials/dynamic-programming-from-novice-to-advanced/)
+- [MIT Interview Materials](https://web.archive.org/web/20160906124824/http://courses.csail.mit.edu/iap/interview/materials.php)
+- [Exercises for getting better at a given language](http://exercism.io/languages)
 
-- [ ] The Algorithm Design Manual (Skiena)
-    - Book (can rent on kindle):
-        - [Algorithm Design Manual](http://www.amazon.com/Algorithm-Design-Manual-Steven-Skiena/dp/1849967202)
+**Read as a review and problem recognition**
+- [ ] [Algorithm Design Manual](http://www.amazon.com/Algorithm-Design-Manual-Steven-Skiena/dp/1849967202) (Skiena)
+    - To quote Yegge: "More than any other book it helped me understand just how astonishingly commonplace 
+        (and important) graph problems are – they should be part of every working programmer's toolkit. The book also 
+        covers basic data structures and sorting algorithms, which is a nice bonus. But the gold mine is the second half 
+        of the book, which is a sort of encyclopedia of 1-pagers on zillions of useful problems and various ways to solve 
+        them, without too much detail. Almost every 1-pager has a simple picture, making it easy to remember. This is a 
+        great way to learn how to identify hundreds of problem types."
+    - Can rent it on kindle
     - Half.com is a great resource for textbooks at good prices.
     - Answers:
         - [Solutions](http://www.algorithm.cs.sunysb.edu/algowiki/index.php/The_Algorithms_Design_Manual_(Second_Edition))
         - [Solutions](http://blog.panictank.net/category/algorithmndesignmanualsolutions/page/2/)
     - [Errata](http://www3.cs.stonybrook.edu/~skiena/algorist/book/errata)
 
-    Once you've understood everything in the daily plan, and read and done exercises from the the books above,
-    read and do exercises from the books below. Then move to coding challenges (further down below)
-
-**Read first:**
+**Read and Do Programming Problems (in this order):**
 - [ ] [Programming Interviews Exposed: Secrets to Landing Your Next Job, 2nd Edition](http://www.wiley.com/WileyCDA/WileyTitle/productCd-047012167X.html)
-
-**Read second (recommended by many, but not in Google coaching docs):**
+    - recommended in Google candidate coaching
 - [ ] [Cracking the Coding Interview, 6th Edition](http://www.amazon.com/Cracking-Coding-Interview-6th-Programming/dp/0984782850/)
+    - recommended on the [Google Careers site](https://www.google.com/about/careers/how-we-hire/interview/)
     - If you see people reference "The Google Resume", it was a book replaced by "Cracking the Coding Interview".
 
-### Additional books 
-
-    These were not suggested by Google but I added because I needed the background knowledge
-
-- [ ] C Programming Language, Vol 2
-    - [answers to questions](https://github.com/lekkas/c-algorithms)
-
-- [ ] C++ Primer Plus, 6th Edition
-
-- [ ] [The Unix Programming Environment](http://product.half.ebay.com/The-UNIX-Programming-Environment-by-Brian-W-Kernighan-and-Rob-Pike-1983-Other/54385&tg=info)
-
-
-    These two were very recommended.
-
-
+**If you have time**
 - [ ] [Programming Pearls](http://www.amazon.com/Programming-Pearls-2nd-Jon-Bentley/dp/0201657880)
-
 - [ ] [Algorithms and Programming: Problems and Solutions](http://www.amazon.com/Algorithms-Programming-Solutions-Alexander-Shen/dp/0817638474)
-
-### If you have time
-
 - [ ] [Introduction to Algorithms](https://www.amazon.com/Introduction-Algorithms-3rd-MIT-Press/dp/0262033844)
+    - To quote Yegge: "But if you want to come into your interviews *prepped*, then consider deferring your application until you've made your way through that book."
     - Half.com is a great resource for textbooks at good prices.
-    
+    - aka CLR, sometimes CLRS, because Stein was late to the game
 - [ ] [Elements of Programming Interviews](https://www.amazon.com/Elements-Programming-Interviews-Insiders-Guide/dp/1479274836)
     - all code is in C++, if you're looking to use C++ in your interview
     - good book on problem solving in general.
@@ -1284,10 +1287,9 @@ Take coding challenges every day, as many as you can.
 
 ## Be thinking of for when the interview comes
 
-    Think of about 20 interview questions you'll get, along the lines of the items below.
-    Have 2-3 answers for each
-    Have a story, not just data, about something you accomplished
-    
+Think of about 20 interview questions you'll get, along the lines of the items below. Have 2-3 answers for each.
+Have a story, not just data, about something you accomplished.
+
 - Why do you want this job?
 - What's a tough problem you've solved?
 - Biggest challenges faced?
@@ -1332,13 +1334,31 @@ You're never really done.
     
     Everything below this point is optional. These are my recommendations, not Google's. 
     By studying these, you'll get greater exposure to more CS concepts, and will be better prepared for 
-    any software engineering job.
+    any software engineering job. You'll be a much more well-rounded software engineer.
 
     *****************************************************************************************************
     *****************************************************************************************************
 
 ---
 
+## Additional Books
+
+- [ ] [C Programming Language, Vol 2](https://www.amazon.com/Programming-Language-Brian-W-Kernighan/dp/0131103628)
+    - [answers to questions](https://github.com/lekkas/c-algorithms)
+- [ ] [The Unix Programming Environment](http://product.half.ebay.com/The-UNIX-Programming-Environment-by-Brian-W-Kernighan-and-Rob-Pike-1983-Other/54385&tg=info)
+    - and oldie but a goodie
+- [ ] [The Linux Command Line: A Complete Introduction](https://www.amazon.com/dp/1593273894/)
+    - a modern option
+- [ ] [TCP/IP Illustrated Series](https://en.wikipedia.org/wiki/TCP/IP_Illustrated)
+- [ ] [Head First Design Patterns](https://www.amazon.com/gp/product/0596007124/)
+    - a gentle introduction to design patterns
+- [ ] [Design Patterns: Elements of Reusable Object-Oriente​d Software](https://www.amazon.com/Design-Patterns-Elements-Reusable-Object-Oriented/dp/0201633612)
+    - aka the "Gang Of Four" book, or GOF
+    - the canonical design patterns book
+- [ ] [Site Reliability Engineering](https://landing.google.com/sre/book.html)
+    - [Site Reliability Engineering: How Google Runs Production Systems](https://landing.google.com/sre/)
+- [ ] [UNIX and Linux System Administration Handbook, 4th Edition](https://www.amazon.com/UNIX-Linux-System-Administration-Handbook/dp/0131480057/)
+
 ## Additional Learning
 
 - ### Unicode