---
slug: /general/resources
title: Additional Resources
author: Benjamin Qi
order: 1
---

Helpful Links! Some (such as CPH and Intro to USACO) will be mentioned again in later modules.

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## Lists

  * [USACO Resources Page](http://www.usaco.org/index.php?page=resources)
  * [Awesome List (Inishan)](http://codeforces.com/blog/entry/23054)

## Books

  * [Competitive Programmer's Handbook (CPH)](https://cses.fi/book/book.pdf)
    * The [CSES problemset](https://cses.fi/problemset/) (now at 200 problems) is quite good!
    * [Guide to Competitive Programming](https://www.amazon.com/Guide-Competitive-Programming-Algorithms-Undergraduate/dp/3319725467) is a paid book based off CPH
      * Can currently download PDF [for free](https://link.springer.com/book/10.1007/978-3-319-72547-5)!
  * Intro to USACO (Darren Yao) 
    * Bronze, Silver
    * [Java](http://darrenyao.com/usacobook/java.pdf)
    * [C++](http://darrenyao.com/usacobook/cpp.pdf)
  * 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.
  * [Samuel Hsiang - CS Guide](https://github.com/alwayswimmin/cs_guide)
    * [TJSCT](https://activities.tjhsst.edu/sct/)
    * [TJIOI](https://github.com/tjsct/tjioi-study-guide)
  * [Principles of Algorithmic Problem Solving](http://www.csc.kth.se/~jsannemo/slask/main.pdf)
  * [Cracking the Coding Interview](http://www.crackingthecodinginterview.com/) is a good book specifically for programming interviews (it is not needed for USACO).

## Courses

  * [Competitive Programming Course (SuprDewd)](https://github.com/SuprDewd/T-414-AFLV)
  * [Cousera Algorithms Pt 1 (and Pt 2)](https://www.coursera.org/learn/algorithms-part1)
  * [Carnegie-Mellon ICPC](https://contest.cs.cmu.edu/295/f17/)
  * [VPlanet](https://vplanetcoding.com/)

## Algorithm Collections

  * [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)
  * [ekzlib](http://ekzlib.herokuapp.com)