A curated list of awesome places to learn and/or practice algorithms. Inspired by awesome-awesomeness and all the other awesome Awesome libraries.
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Websites you should use to learn classic algorithms
- A Visual Guide to Graph Traversal Algorithms - Interactive visualisations for learning how graph traversal algorithms work
- Algomation - A didactic, animated, exposition of algorithms.
- Algorithm Visualizer - Dozens of animated algorithms (with code), and you can also create your own.
- Algorithms Visualization - A dense article on Algorithms Visualization.
- Big-O Cheat Sheet - Big-O complexities of common algorithms used in Computer Science.
- Data Structure Visualizations - Visualize the behavior of Data Structures and play with its operations.
- Geeks for Geeks - Lots and lots of well explained and implemented algorithms.
- Path Finding - A visual representation on how algorithms such as A*, IDA*, Breadth-First-Search, Best-First-Search and others describe a path between two points A and B.
- Rosetta Code - A programming chrestomathy site which aims to present implementations of many algorithms and data structures in different programming languages.
- Sorting Algorithms - Nice and simple animations of sorting algorithms. With short codes and discussions.
- Stoimen's web log - Some algorithms nicely explained.
- VisuAlgo - Visualising data structures and algorithms through animation.
- Wikipedia - Algorithms - Of course!!
- Wikipedia - Data Structures - and why not ?!!
Free and High Quality Courses Online
- Algorithms: Divide and Conquer, Sorting and Searching, and Randomized Algorithms - The primary topics are: asymptotic ("Big-oh") notation, sorting and searching, divide and conquer, and randomized algorithms.
- Algorithms: Graph Search, Shortest Paths, and Data Structures - The primary topics are: data structures, graph primitives, and their applications.
- Algorithms: Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming - The primary topics are: greedy algorithms and dynamic programming.
- Algorithms: Shortest Paths Revisited, NP-Complete Problems and What To Do About Them - The primary topics are: shortest paths, NP-completeness and what it means for the algorithm designer, and strategies for coping with computationally intractable problems.
- Algorithms, Part I - This course covers the essential information that every serious programmer needs to know about algorithms and data structures.Part I covers elementary data structures, sorting, and searching algorithms.
- Algorithms, Part II - Part II focuses on graph- and string-processing algorithms.
- Khan Academy Algorithms - Algorithm course ministred by Tomas Cormen and Devin Balkcom.
- MIT - 6-006 - Well explained algorithms.
- MIT - 6-046j - Similar to the previous one, but with different algorithms.
- MIT - 6-00sc - An easy and well explained introduction to algorithms.
- Udacity Intro to Algorithms - Python-based Algorithms course.
- Algorithms in Motion - Beginner's algorithms course with fun illustrations, based on the book Grokking Algorithms (see book below).
YogiBearian YouTube Channel - Lots of well explained vidoes on various computer science subjects.Account terminated due to violations of Youtube Policies.
The most highly regarded books to learn algorithms
- Algorithm Design - Pretty straight-forward.
- Algorithms - Problems explained with Java, OO good practices, visualizations, and free online resources.
- Data Structures Using C - The basic concepts and usages of data structures.
- Elementary Algorithms - An awesome book about algorithms and data structures.
- Grokking Algorithms - An illustrated book on algorithms with practical examples.
- Introduction to Algorithms - Essential!
- Swift Algorithms & Data Structures - A practical guide to concepts, theory and code.
- The Algorithm Design Manual - Easy to read and full of real world examples.
- The Art of Computer Programming - The Book.
Implementations of the most classic algorithms in a wide variety of programming languages
- Language agnostic
Online Judges to practice what you learned above
- ACM-ICPC Live Archive - Hundreds of problems from previous ACM-ICPC Regionals and World Finals.
- AIZU ONLINE JUDGE - Japanese Online Judge.
- CS Academy - Holds online contests and IOI practice contests
- CodeChef - More problems and monthly online contests.
- Codeforces - The only programming contests Web 2.0 platform
- CodeMarshal - Real world contests online!
- CodeWars - A website that houses support to solve algorithms in many languages in varying difficulty.
- HackerEarth - Practice alogrithmic problems & challenges and participate in hiring challenges.
- HackerRank - Featured algorithm and functional programming online judges
- Infoarena - Romanian Online Judge. 1500+ algorithmic problems
- Kattis- Online judge and problem archive
- LavidaOnlineJudge - Korean Online Judge(Half English). 1300+ problems.
- Learneroo Algorithms Tutorials - Learn and practice algorithms by solving challenges online.
- LeetCode - Learn algorithms and prepare for interviews.
- PKU JudgeOnline - Chinese Online Judge.
- ProjectEuler - Mathematical problems that can be solved using algorithms (or just a pencil, depends on how much you already know).
- Rosalind - A platform for learning bioinformatics and programming through problem solving.
- ShareCode.io - Online Judge and contest host with a lot of algorithmic problems in the archive to practice.
- Snakify - An introductory Python course with 100+ algorithmic problems and a step-by-step debugger (from Russia).
- SPOJ - More problems.
- TopCoder - Lots of problems and real world/money worthy problems in Graphic Design, Data Science and Development.
- Toph - Sport programming platform for online contests. It also has a growing problem archive.
- URI - Brazilian Online Judge. Not so much problems, but it's growing and it has online contests.
- UVA - Hundreds of problems (from previous ACM-ICPC Regionals, World Finals and others).
Some tools that can help you in the learning of algorithms
- interactive-coding-challenges - Interactive, test-driven coding challenges (algorithms and data structures).
And for the sake of copyleft, here's our license:
This work is licensed under a Creative Commons Attribution 4.0 International License.