Algorithms
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Websites you should use to learn classic algorithms
- Interactive visualisations for learning how graph traversal algorithms work
- Data Structures tutorial.
- Learning DSA by practice on Codechef
- Dozens of animated algorithms (with code), and you can also create your own.
- A dense article on Algorithms Visualization.
- Big-O complexities of common algorithms used in Computer Science.
- Practice problems recommender (includes Codeforces, Codechef and Spoj).
- Algorithms and data structures especially popular in field of competitive programming.
- Visualize the behavior of Data Structures and play with its operations.
- Lots and lots of well explained and implemented algorithms.
- 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.
- Easy to follow tutorials on data structures and algorithms along with suitable examples.
- A programming chrestomathy site which aims to present implementations of many algorithms and data structures in different programming languages.
- Nice and simple animations of sorting algorithms. With short codes and discussions.
- Some algorithms nicely explained.
- The Sound of Sorting - "Audibilization" and Visualization of Sorting Algorithms
- Visualising data structures and algorithms through animation.
- Of course!!
- and why not ?!!
- Tutorials on data sturctures and algorithms in Javascript.
- interactive visual explanations of math and algorithms, using motivating examples from computer games.
Free and High Quality Courses Online
The most highly regarded books to learn algorithms
Implementations of the most classic algorithms in a wide variety of programming languages
C
C#
C++
Go
Java
JavaScript
Lua
Objective-C
PHP
Python
Ruby
Swift
Language agnostic
Online Judges to practice what you learned above
Awesome list of blogs, mainly for competitive programming but you can refer to these when learning a new topic/algorithm
Some tools that can help you in the learning of algorithms
- The primary topics are: asymptotic ("Big-oh") notation, sorting and searching, divide and conquer, and randomized algorithms.
- The primary topics are: data structures, graph primitives, and their applications.
- The primary topics are: greedy algorithms and dynamic programming.
- The primary topics are: shortest paths, NP-completeness and what it means for the algorithm designer, and strategies for coping with computationally intractable problems.
- 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.
- Part II focuses on graph- and string-processing algorithms.
- Algorithm course ministred by Tomas Cormen and Devin Balkcom.
- Well explained algorithms.
- Similar to the previous one, but with different algorithms.
- An easy and well explained introduction to algorithms.
- Python-based Algorithms course.
- Beginner's algorithms course with fun illustrations, based on the book Grokking Algorithms
- Lots of well explained vidoes on various computer science subjects. Account terminated due to violations of Youtube Policies.
- Pretty straight-forward.
- Problems explained with Java, OO good practices, visualizations, and free online resources.
- Classical algorithms and data structures implemented and explained using JavaScript.
- by George T. Heineman.
-This great book presents dozens of coding challenges, ranging from simple tasks to clustering data using k-means.
- A great way to implement algorithms with their specific programmable tasks.
- The basic concepts and usages of data structures.
- An awesome book about algorithms and data structures.
- An illustrated book on algorithms with practical examples.
- Essential!
- An introduction to algorithms for readers with no background in advanced mathematics or computer science.
- A practical guide to concepts, theory and code.
- Easy to read and full of real world examples.
- The Book.
- A different and a great way to introduce algorithms and data structures that can be used at work.
- A very accessible illustration of algorithms in forms of puzzles. No programming experience is required!
- Am advanced complete survey, intended only for the mathematically matured reader.
- A very accessible and brief book on algorithms analysis, with implemented code included.
- A very accessible and brief book on algorithms analysis, with implemented code included.
- A standard classic book.
- Standard text for probability methods and their applications on randomized algorithms.
- An open-source collection of +200 algorithmic cards.
- Online Judge and problem archive.
- Hundreds of problems from previous ACM-ICPC Regionals and World Finals.
- Japanese Online Judge.
- Research based algorithmic problems.
- Japanese programming contest website.
- Korean Online Judge. 10000+ problems. Supports 60+ languages.
- Holds online contests and IOI practice contests
- More problems and monthly online contests.
- The only programming contests Web 2.0 platform
- Practive programming and tackle out your next tech interview
- Real world contests online!
- A website that houses support to solve algorithms in many languages in varying difficulty.
- A decent website with algorithm challenges from beginner to advanced levels. Supports most of the popular languages like C++, python, javascript, ruby.
- Firecode.io uses machine learning algorithms along with curated real-world interview questions, solutions & a vibrant social community of learners to get you ready for your next coding interview.
- Website that have problems based on Maths, Data Structures, Various Algorithm and also conducts Coding Competition.
- Practice alogrithmic problems & challenges and participate in hiring challenges.
- Featured algorithm and functional programming online judges
- Chinese and English problem solving practice and recruitment challenge site.
- Romanian Online Judge. 1500+ algorithmic problems
- Learn, practice and prepare for interviews.
- Online judge and problem archive
- Korean Online Judge(Half English). 1300+ problems.
- Learn and practice algorithms by solving challenges online.
- Learn algorithms and prepare for interviews.
- Chinese Online Judge.
- Mathematical problems that can be solved using algorithms (or just a pencil, depends on how much you already know).
- A platform for learning bioinformatics and programming through problem solving.
- Online Judge and contest host with a lot of algorithmic problems in the archive to practice.
- An introductory Python course with 100+ algorithmic problems and a step-by-step debugger (from Russia).
- More problems.
- Lots of problems and real world/money worthy problems in Graphic Design, Data Science and Development.
- Bangladeshi Online Judge. Holds online contests on a regular basis.
- Brazilian Online Judge. Not so much problems, but it's growing and it has online contests.
- Hundreds of problems (from previous ACM-ICPC Regionals, World Finals and others).
- Compete to land coding jobs at top companies
- Awesome blog for all the resources and list of books and algorithms.
- A good blog by Petr Mitrichev, mainly in Java.
- Really informative blog for starting with the sport of programming.
- For getting deeper knowledge of algorithms and how to think in right direction.
- Excellent blog by Tanuj Khattar. Covers tutorials on some interesting data structures along with example problems to solve.
- Interactive, test-driven coding challenges (algorithms and data structures).
- Freely available lecture notes on mathematics.
- The interdisciplinary of Mathematics and Computer Science, Distinguished by its emphasis on mathemtical technique and rigour.