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@@ -21,7 +21,7 @@ If you want to contribute, please read the [contribution guidelines](https://git
* [A Visual Guide to Graph Traversal Algorithms](https://workshape.github.io/visual-graph-algorithms/) - Interactive visualizations for learning how graph traversal algorithms work.
* [W3School](https://www.w3schools.in/data-structures-tutorial/intro/) - Data Structures tutorial.
* [CodeChef](https://www.codechef.com/LEARNDSA/) - Learning DSA by practice on Codechef
* [CodeChef](https://www.codechef.com/roadmap/algorithms) - Learning DSA by practice on Codechef
* [Algorithm Visualizer](http://algo-visualizer.jasonpark.me/) - Dozens of animated algorithms (with code), and you can also create your own.
* [Algorithms Visualization](http://bost.ocks.org/mike/algorithms/) - A dense article on Algorithms Visualization.
* [Big-O Cheat Sheet](http://bigocheatsheet.com/) - Big-O complexities of common algorithms used in Computer Science.
@@ -45,11 +45,10 @@ If you want to contribute, please read the [contribution guidelines](https://git
*High Quality Courses and tutorials on youtube*
* [Tim Roughgarden. Algorithms Illuminated](https://www.algorithmsilluminated.org/) - Tim Roughgarden, a pioneer of computer science, offers a companion to his book, with lecture videos and slides.
* [FreeCodeCamp - Algorithms and Data Structures Tutorial - Full Course for Beginners](https://www.youtube.com/watch?v=8hly31xKli0) - Complete beginner friendly Algorithms and Data Structures Tutorial with mindblowing animation.
* [Abdul Bari - Introduction to Algorithm](https://www.youtube.com/watch?v=0IAPZzGSbME&list=PLDN4rrl48XKpZkf03iYFl-O29szjTrs_O) - This playlist is so much informative and provide simulation with code example. As like as you are in a class.
* [Jenny's Lectures- Algorithm](https://www.youtube.com/watch?v=AT14lCXuMKI&list=PLdo5W4Nhv31bbKJzrsKfMpo_grxuLl8LU) - Another complete alogrithm playlist from basic level to intermediate. Easy explanation and simulation.
* [Jenny's Lectures- Algorithm](https://www.youtube.com/watch?v=AT14lCXuMKI&list=PLdo5W4Nhv31bbKJzrsKfMpo_grxuLl8LU) - Another complete algorithm playlist from basic level to intermediate. Easy explanation and simulation.
## Online Courses
@@ -63,7 +62,7 @@ If you want to contribute, please read the [contribution guidelines](https://git
* [Algorithms, Part II](https://www.coursera.org/learn/algorithms-part2) - Part II focuses on graph- and string-processing algorithms.
* [Khan Academy Algorithms](https://www.khanacademy.org/computing/computer-science/algorithms) - Algorithm course ministered by Tomas Cormen and Devin Balkcom.
* [MIT - 6-006](https://ocw.mit.edu/courses/6-006-introduction-to-algorithms-fall-2011/video_galleries/lecture-videos/) - Well explained algorithms.
* [MIT - 6-046j](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-046j-introduction-to-algorithms-sma-5503-fall-2005/video-lectures/) - Similar to the previous one, but with different algorithms.
* [MIT - 6-046j](https://ocw.mit.edu/courses/6-046j-introduction-to-algorithms-sma-5503-fall-2005/video_galleries/video-lectures/) - Similar to the previous one, but with different algorithms.
* [MIT - 6-00sc](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-00sc-introduction-to-computer-science-and-programming-spring-2011/index.htm) - An easy and well-explained introduction to algorithms.
* [MIT 18-409 - Topics in Theoretical Computer Science: An Algorithmist's Toolkit](https://ocw.mit.edu/courses/18-409-topics-in-theoretical-computer-science-an-algorithmists-toolkit-fall-2009/) - It covers a collection of geometric techniques that apply broadly in modern algorithm design.
* [Udacity Intro to Algorithms](https://www.udacity.com/course/intro-to-algorithms--cs215) - Python-based Algorithms course.
@@ -84,15 +83,16 @@ If you want to contribute, please read the [contribution guidelines](https://git
* [Data Structures Using C](http://www.amazon.com/Data-Structures-Using-Aaron-Tenenbaum/dp/0131997467) - The basic concepts and usages of data structures.
* [Elementary Algorithms](https://github.com/liuxinyu95/AlgoXY) - An awesome book about algorithms and data structures.
* [Grokking Algorithms](http://www.manning.com/bhargava) - An illustrated book on algorithms with practical examples.
* [Introduction to Algorithms](http://mitpress.mit.edu/books/introduction-algorithms) - Essential!
* [Introduction to Algorithms](https://mitpress.mit.edu/9780262046305/introduction-to-algorithms/) - Essential!
* [Real World Algorithms: A Beginner's Guide](https://mitpress.mit.edu/books/real-world-algorithms) - An introduction to algorithms for readers with no background in advanced mathematics or computer science.
* [Swift Algorithms & Data Structures](http://shop.waynewbishop.com/) - A practical guide to concepts, theory, and code.
* [The Algorithm Design Manual](http://www.algorist.com/) - Easy to read and full of real-world examples.
* [The Art of Computer Programming](http://www-cs-faculty.stanford.edu/~uno/taocp.html) - The Book.
* [Structure and Interpretation of Computer Programs](https://mitpress.mit.edu/books/structure-and-interpretation-computer-programs-second-edition)
* [Algorithms and Data Structures in Action](https://www.manning.com/books/algorithms-and-data-structures-in-action) - A different and a great way to introduce algorithms and data structures that can be used at work.
* [Advanced Algorithms and Data Structures](https://www.manning.com/books/advanced-algorithms-and-data-structures) - A different and a great way to introduce algorithms and data structures that can be used at work.
* [Algorithmic Puzzles](https://www.amazon.com/Algorithmic-Puzzles-Anany-Levitin/dp/0199740445) - A very accessible illustration of algorithms in the forms of puzzles. No programming experience is required!
* [Standford CS166](https://web.stanford.edu/class/cs166/) - Standford CS166, a course in the design, analysis, and implementation of data structures.
* [Grokking Data Structures](https://www.manning.com/books/grokking-data-structures) - Grokking Data Structures carefully guides you from the most basic data structures like arrays or linked lists all the way to powerful structures like graphs. It’s perfect for beginners.
### Algorithm Analysis
- [Sedgewick & Flajolet. An Introduction to the Analysis of Algorithm](https://www.amazon.com/Introduction-Analysis-Algorithms-Introdu-Algori_p2-ebook/dp/B00B3TB7IQ) - Am advanced complete survey, intended only for the mathematically matured reader.
@@ -188,10 +188,11 @@ If you want to contribute, please read the [contribution guidelines](https://git
* [A2 Online Judge](https://a2oj.com/) - Online Judge and problem archive.
* [ACM-ICPC Live Archive](https://icpcarchive.ecs.baylor.edu/) - Hundreds of problems from previous ACM-ICPC Regionals and World Finals.
* [AIZU ONLINE JUDGE](http://judge.u-aizu.ac.jp/onlinejudge/) - Japanese Online Judge.
* [AIZU ONLINE JUDGE](https://onlinejudge.u-aizu.ac.jp/) - A Japanese online judge from the University of Aizu, offering a wide range of algorithmic challenges.
* [Algo Muse](http://www.algomuse.appspot.com) - Research-based algorithmic problems.
* [AtCoder](https://atcoder.jp/) - Japanese programming contest website.
* [Baekjoon Online Judge](https://www.acmicpc.net/) - Korean Online Judge. 10000+ problems. Supports 60+ languages.
* [Beecrowd](https://judge.beecrowd.com/) - The Largest Competitive Programming and Online Code Judgement Platform in Latin America.
* [CS Academy](https://csacademy.com/) - Holds online contests and IOI practice contests
* [CodeChef](https://www.codechef.com/) - More problems and monthly online contests.
* [Codeforces ](http://codeforces.com/) - The only programming contests Web 2.0 platform
@@ -210,6 +211,7 @@ If you want to contribute, please read the [contribution guidelines](https://git
* [LavidaOnlineJudge](http://judge.lavida.us) - Korean Online Judge(Half English). 1300+ problems.
* [Learneroo Algorithms Tutorials](https://www.learneroo.com/subjects/8) - Learn and practice algorithms by solving challenges online.
* [LeetCode](https://leetcode.com/) - Learn algorithms and prepare for interviews.
* [Paiza](https://paiza.jp/) - A Japanese platform offering coding challenges and career preparation.
* [PKU JudgeOnline](http://poj.org/) - Chinese Online Judge.
* [ProjectEuler](https://projecteuler.net/) - Mathematical problems that can be solved using algorithms (or just a pencil, depending on how much you already know).
* [Rosalind](http://rosalind.info/problems/locations/) - A platform for learning bioinformatics and programming through problem-solving.
@@ -251,3 +253,6 @@ And for the sake of copyleft, here's our license:
[![Creative Commons License](http://i.creativecommons.org/l/by/4.0/88x31.png)](http://creativecommons.org/licenses/by/4.0/)
This work is licensed under a [Creative Commons Attribution 4.0 International License](http://creativecommons.org/licenses/by/4.0/).
[algorithms.md Github](https://github.com/tayllan/awesome-algorithms
)