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Merge pull request jwasham#14 from Carmezim/patch-1
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Fixing Last Typos.
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jwasham authored Oct 7, 2016
2 parents e190fbc + 758ccbe commit 703ce90
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38 changes: 19 additions & 19 deletions README.md
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Expand Up @@ -247,8 +247,8 @@ You'll see some C, C++, and Python learning included below, because I'm learning
- [x] K&R C book (ANSI C)
- [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
- [Harvard CS50 - GDB (video)](https://www.youtube.com/watch?v=USPvePv1uzE)
- [Harvard CS50 - GDB (video)](https://www.youtube.com/watch?v=y5JmQItfFck)
- [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)
Expand Down Expand Up @@ -595,9 +595,9 @@ Then test it out on a computer to make sure it's not buggy from syntax.
- I read through code, but will not implement.
- [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] [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] [Introduction To Tries (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/08Xyf/core-introduction-to-tries)
- [x] [Performance Of Tries (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/PvlZW/core-performance-of-tries)
- [x] [Implementing A Trie (video)](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) (video)](https://www.youtube.com/watch?v=TJ8SkcUSdbU)
Expand Down Expand Up @@ -636,8 +636,8 @@ Then test it out on a computer to make sure it's not buggy from syntax.
networking, and file system code) etc.
- [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.
- [Video](https://www.youtube.com/watch?v=QnPl_Y6EqMo)
- Gets very mathy, but watch the last 10 minutes for sure.
- [Video](https://www.youtube.com/watch?v=QnPl_Y6EqMo)

- [x] **2-3 search trees**
- In practice:
Expand Down Expand Up @@ -751,7 +751,7 @@ 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](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)
Expand Down Expand Up @@ -972,7 +972,7 @@ You'll get more graph practice in Skiena's book (see Books section below) and th
- [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)
- [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)
Expand Down Expand Up @@ -1207,8 +1207,8 @@ You'll get more graph practice in Skiena's book (see Books section below) and th
- ### String searching & manipulations
- [ ] [Search pattern in text (video)](https://www.coursera.org/learn/data-structures/lecture/tAfHI/search-pattern-in-text)
- [ ] Rabin-Karp (videos):
[Rabin Karps Algorithm](https://www.coursera.org/learn/data-structures/lecture/c0Qkw/rabin-karps-algorithm)
[Table Doubling, Karp-Rabin](https://www.youtube.com/watch?v=BRO7mVIFt08&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=9)
- [Rabin Karps Algorithm](https://www.coursera.org/learn/data-structures/lecture/c0Qkw/rabin-karps-algorithm)
- [Table Doubling, Karp-Rabin](https://www.youtube.com/watch?v=BRO7mVIFt08&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=9)
- [ ] [Precomputing](https://www.coursera.org/learn/data-structures/lecture/nYrc8/optimization-precomputation)
- [ ] [Optimization: Implementation and Analysis](https://www.coursera.org/learn/data-structures/lecture/h4ZLc/optimization-implementation-and-analysis)
- [ ] Knuth-Morris-Pratt (KMP):
Expand Down Expand Up @@ -1419,7 +1419,7 @@ Take coding challenges every day, as many as you can.
- [x] [Subnetting Demystified - Part 5 CIDR Notation](https://www.youtube.com/watch?v=t5xYI0jzOf4)

- ### Computer Security
- MIT (23 videos): https://www.youtube.com/playlist?list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh
- [MIT (23 videos)](https://www.youtube.com/playlist?list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh)
- [x] [Introduction, Threat Models](https://www.youtube.com/watch?v=GqmQg-cszw4&index=1&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh)
- [x] [Control Hijacking Attacks](https://www.youtube.com/watch?v=6bwzNg5qQ0o&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=2)
- [x] [Buffer Overflow Exploits and Defenses](https://www.youtube.com/watch?v=drQyrzRoRiA&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=3)
Expand Down Expand Up @@ -1450,8 +1450,8 @@ Take coding challenges every day, as many as you can.
- [x] [Amazon SNS (pub-sub)](https://aws.amazon.com/sns/)
- [x] [RabbitMQ](https://www.rabbitmq.com/)
- [Get Startet](https://www.rabbitmq.com/getstarted.html)
- [x] Celeryhttp://www.celeryproject.org/
- http://docs.celeryproject.org/en/latest/getting-started/first-steps-with-celery.html
- [x] [Celery](http://www.celeryproject.org/)
- [First Steps With Celery](http://docs.celeryproject.org/en/latest/getting-started/first-steps-with-celery.html)
- [x] [ZeroMQ](http://zeromq.org/)
- [Intro - Read The Manual](http://zeromq.org/intro:read-the-manual)
- [x] [ActiveMQ](http://activemq.apache.org/)
Expand Down Expand Up @@ -1506,9 +1506,9 @@ Take coding challenges every day, as many as you can.

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

- ### Linear Programming (videos)
- [x] [Linear Programming](https://www.youtube.com/watch?v=M4K6HYLHREQ)
Expand Down Expand Up @@ -1536,7 +1536,7 @@ Take coding challenges every day, as many as you can.
- [ ] [Vector calculus](https://www.youtube.com/watch?v=tDtYAddb4o4)
- Courses: (videos)
- [x] [Great starter course: Machine Learning](https://www.coursera.org/learn/machine-learning)
- videos only](https://www.youtube.com/playlist?list=PLZ9qNFMHZ-A4rycgrgOYma6zxF4BZGGPW)
- [videos only](https://www.youtube.com/playlist?list=PLZ9qNFMHZ-A4rycgrgOYma6zxF4BZGGPW)
- see videos 12-18 for a review of linear algebra (14 and 15 are duplicates)
- [ ] [Neural Networks for Machine Learning](https://www.coursera.org/learn/neural-networks)
- [ ] [Google's Deep Learning Nanodegree](https://www.udacity.com/course/deep-learning--ud730)
Expand Down Expand Up @@ -1568,7 +1568,7 @@ Take coding challenges every day, as many as you can.
- [ ] **More Dynamic Programming** (videos)
- [x] [6.006: Dynamic Programming I: Fibonacci, Shortest Paths](https://www.youtube.com/watch?v=OQ5jsbhAv_M&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=19)
- [x][ 6.006: Dynamic Programming II: Text Justification, Blackjack](https://www.youtube.com/watch?v=ENyox7kNKeY&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=20)
- [ ] [6.006: DP III: Parenthesization, Edit Distance, Knapsack](https://www.youtube.com/watch?v=ocZMDMZwhCY&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=21(
- [ ] [6.006: DP III: Parenthesization, Edit Distance, Knapsack](https://www.youtube.com/watch?v=ocZMDMZwhCY&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=21)
- [ ] [6.006: DP IV: Guitar Fingering, Tetris, Super Mario Bros.](https://www.youtube.com/watch?v=tp4_UXaVyx8&index=22&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb)
- [ ] [6.046: Dynamic Programming & Advanced DP](https://www.youtube.com/watch?v=Tw1k46ywN6E&index=14&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp)
- [ ] [6.046: Dynamic Programming: All-Pairs Shortest Paths](https://www.youtube.com/watch?v=NzgFUwOaoIw&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=15)
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