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---
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slug: /general/resources
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title: Additional Resources
author: Benjamin Qi
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order: 1
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---
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Helpful Links! Some (such as CPH and Intro to USACO) will be mentioned again in later modules.
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## Lists
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* [USACO Resources Page ](http://www.usaco.org/index.php?page=resources )
* [Awesome List (Inishan) ](http://codeforces.com/blog/entry/23054 )
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## Books
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* [Competitive Programmer's Handbook (CPH) ](https://cses.fi/book/book.pdf )
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* The [CSES problemset ](https://cses.fi/problemset/ ) (now at 200 problems) is quite good!
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* [Guide to Competitive Programming ](https://www.amazon.com/Guide-Competitive-Programming-Algorithms-Undergraduate/dp/3319725467 ) is a paid book based off CPH
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* Can currently download PDF [for free ](https://link.springer.com/book/10.1007/978-3-319-72547-5 )!
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* Intro to USACO (Darren Yao)
* Bronze, Silver
* [Java ](http://darrenyao.com/usacobook/java.pdf )
* [C++ ](http://darrenyao.com/usacobook/cpp.pdf )
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* Competitive Programming Book (Steven, Felix)
* [Competitive Programming Book 1 ](http://www.comp.nus.edu.sg/~stevenha/myteaching/competitive_programming/cp1.pdf ) is freely available but old
* [Competitive Programming 4 ](https://cpbook.net/ ) is the latest edition of the book (with significant additions) but costs money.
* Release date is July 19th, 2020.
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* [Samuel Hsiang - CS Guide ](https://github.com/alwayswimmin/cs_guide )
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* [TJSCT ](https://activities.tjhsst.edu/sct/ )
* [TJIOI ](https://github.com/tjsct/tjioi-study-guide )
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* [Principles of Algorithmic Problem Solving ](http://www.csc.kth.se/~jsannemo/slask/main.pdf )
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* [Cracking the Coding Interview ](http://www.crackingthecodinginterview.com/ ) is a good book specifically for programming interviews (it is not needed for USACO).
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## Courses
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* [Competitive Programming Course (SuprDewd) ](https://github.com/SuprDewd/T-414-AFLV )
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* [Cousera Algorithms Pt 1 (and Pt 2) ](https://www.coursera.org/learn/algorithms-part1 )
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* [Carnegie-Mellon ICPC ](https://contest.cs.cmu.edu/295/f17/ )
* [VPlanet ](https://vplanetcoding.com/ )
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## Algorithm Collections
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* [CSAcademy ](https://csacademy.com/lessons/ )
* [cp-algorithms ](https://cp-algorithms.com/ )
* [KTH ICPC Team Reference (KACTL) ](https://github.com/kth-competitive-programming/kactl )
* [bqi343 Github ](https://github.com/bqi343/USACO )
* [Topcoder Tutorials ](http://www.topcoder.com/community/data-science/data-science-tutorials/ )
* [List of CF Tutorials ](http://codeforces.com/blog/entry/57282 )
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* [ekzlib ](http://ekzlib.herokuapp.com )
