This is a 100+ part playbook that takes you from basic C++ programming to a Gold medal at IOI. It has tutorials on 30+ algorithms and data structures, and 75+ problems based on those topics, sorted by increasing difficulty.

This playlist covers the required amount of C++ / Java / Python knowledge you need for programming contests such as Olympiad in Informatics, CodeChef, Codeforces, etc.

Expected time to completion: 5-10 sessions.

The programming language topics covered are input-ou...

This 26-part course consists of tutorials on data structures and algorithms. It alternates between tutorials and implementation, and you get to implement every algorithm. You can think of this course as a "Free Online Nano Book".

This course teaches algorithms and data structures f...

Since the last few days, the IARCS website has been down and giving fatal error for C++ submissions. For the time being, I request people to skip the IARCS problems. I've contacted the maintainers, and they said they'll fix it soon. You can still continue making submissions for non-C++ languages.

If you know alternate websites with similar problems, you can help by posting a link to the problem as a reply to the discussion. Tag it with alternate websites, so that it is easy to find.

You can follow this discussion by clicking the thumbs up button. I'll post a reply when they fix it and you'll get a notification.

This is a very comprehensive 88-part course on competitive programming. It gets you from knowing basic programming to being a yellow-red rated coder on Codeforces / CodeChef / TopCoder / etc.

The primary objectives of this course are to learn about 30 different algorithms and data structures. The algorithm tutori...

Hello everyone, wanted to share the Competitive Programmer's Handbook (~300 page PDF). I think reading this book will take you 10x lesser time than Introduction to Algorithms CLRS while teaching you just as much. The book has ~10x lesser words than CLRS and 5x more diagrams (lesser theory and math). Diagrams are very helpful in learning algorithms because it is all about visualization. That is also why this community has a lot of short video tutorials on various algorithms, because visualizing it makes it easy to understand. Enjoy!

Credit to Shiv Pratap Singh for telling me about the handbook.