Moved some books around.

README.md

@@ -1241,34 +1241,6 @@ Supplemental:
 - [MIT Interview Materials](https://web.archive.org/web/20160906124824/http://courses.csail.mit.edu/iap/interview/materials.php)
 - [Exercises for getting better at a given language](http://exercism.io/languages)
 
-**Read as a review and problem recognition**
-- [ ] [Algorithm Design Manual](http://www.amazon.com/Algorithm-Design-Manual-Steven-Skiena/dp/1849967202) (Skiena)
-    - This book has 2 parts:
-        - class textbook on data structures and algorithms
-            - pros: 
-                - is a good review as any algorithms textbook would be
-                - nice stories from his experiences solving problems in industry and academia
-                - code examples in C
-            - cons:
-                - can be as dense or impenetrable as CLRS, and in some cases, CLRS may be a better alternative for some subjects
-                - chapters 7, 8, 9 can be painful to try to follow, as some items are not explained well or require more brain than I have
-                - don't get me wrong: I like Skiena, his teaching style, and mannerisms, but I may not be Stony Brook material.
-        - algorithm catalog:
-            - this is the real reason you buy this book.
-            - about to get to this part. Will update here once I've made my way through it.
-    - To quote Yegge: "More than any other book it helped me understand just how astonishingly commonplace
-        (and important) graph problems are – they should be part of every working programmer's toolkit. The book also
-        covers basic data structures and sorting algorithms, which is a nice bonus. But the gold mine is the second half
-        of the book, which is a sort of encyclopedia of 1-pagers on zillions of useful problems and various ways to solve
-        them, without too much detail. Almost every 1-pager has a simple picture, making it easy to remember. This is a
-        great way to learn how to identify hundreds of problem types."
-    - Can rent it on kindle
-    - Half.com is a great resource for textbooks at good prices.
-    - Answers:
-        - [Solutions](http://www.algorithm.cs.sunysb.edu/algowiki/index.php/The_Algorithms_Design_Manual_(Second_Edition))
-        - [Solutions](http://blog.panictank.net/category/algorithmndesignmanualsolutions/page/2/)
-    - [Errata](http://www3.cs.stonybrook.edu/~skiena/algorist/book/errata)
-
 **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)
     - recommended in Google candidate coaching
@@ -1277,9 +1249,6 @@ Supplemental:
     - If you see people reference "The Google Resume", it was a book replaced by "Cracking the Coding Interview".
 
 **If you have time**
-- [ ] [Programming Pearls](http://www.amazon.com/Programming-Pearls-2nd-Jon-Bentley/dp/0201657880)
-    - The first couple of chapters present clever solutions to programming problems (some very old using data tape) but
-      that is just an intro. This a guidebook on program design and architecture, much like Code Complete, but much shorter.
 - [ ] [Grokking Algorithms](https://www.amazon.com/Grokking-Algorithms-illustrated-programmers-curious/dp/1617292230)
     - This is a great book for review of CS concepts, and a very quick read.
     - Did not have as much Python code as I had hoped for, but has a great chapter on dynamic programming, so I worked through that and finally got the concept.
@@ -1302,6 +1271,39 @@ Supplemental:
     - a good book on problem solving in general.
 
 **Perhaps**
+
+- [ ] [Programming Pearls](http://www.amazon.com/Programming-Pearls-2nd-Jon-Bentley/dp/0201657880)
+    - The first couple of chapters present clever solutions to programming problems (some very old using data tape) but
+      that is just an intro. This a guidebook on program design and architecture, much like Code Complete, but much shorter.
+- [ ] [Algorithm Design Manual](http://www.amazon.com/Algorithm-Design-Manual-Steven-Skiena/dp/1849967202) (Skiena)
+    - As a review and problem recognition
+    - The algorithm catalog portion is well beyond the scope of difficulty you'll get in an interview.
+    - This book has 2 parts:
+        - class textbook on data structures and algorithms
+            - pros:
+                - is a good review as any algorithms textbook would be
+                - nice stories from his experiences solving problems in industry and academia
+                - code examples in C
+            - cons:
+                - can be as dense or impenetrable as CLRS, and in some cases, CLRS may be a better alternative for some subjects
+                - chapters 7, 8, 9 can be painful to try to follow, as some items are not explained well or require more brain than I have
+                - don't get me wrong: I like Skiena, his teaching style, and mannerisms, but I may not be Stony Brook material.
+        - algorithm catalog:
+            - this is the real reason you buy this book.
+            - about to get to this part. Will update here once I've made my way through it.
+    - To quote Yegge: "More than any other book it helped me understand just how astonishingly commonplace
+        (and important) graph problems are – they should be part of every working programmer's toolkit. The book also
+        covers basic data structures and sorting algorithms, which is a nice bonus. But the gold mine is the second half
+        of the book, which is a sort of encyclopedia of 1-pagers on zillions of useful problems and various ways to solve
+        them, without too much detail. Almost every 1-pager has a simple picture, making it easy to remember. This is a
+        great way to learn how to identify hundreds of problem types."
+    - Can rent it on kindle
+    - Half.com is a great resource for textbooks at good prices.
+    - Answers:
+        - [Solutions](http://www.algorithm.cs.sunysb.edu/algowiki/index.php/The_Algorithms_Design_Manual_(Second_Edition))
+        - [Solutions](http://blog.panictank.net/category/algorithmndesignmanualsolutions/page/2/)
+    - [Errata](http://www3.cs.stonybrook.edu/~skiena/algorist/book/errata)
+
 - [ ] [Introduction to Algorithms](https://www.amazon.com/Introduction-Algorithms-3rd-MIT-Press/dp/0262033844)
     - **Important:** Reading this book will only have limited value. This book is a great review of algorithms and data structures, but won't teach you how to write good code. You have to be able to code a decent solution efficiently.
     - To quote Yegge: "But if you want to come into your interviews *prepped*, then consider deferring your application until you've made your way through that book."