Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Update README.md #149

Open
wants to merge 1 commit into
base: master
Choose a base branch
from
Open

Update README.md #149

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
1 change: 1 addition & 0 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -136,6 +136,7 @@ Share the list with your classmates, your friends and everyone :)
| ★★★ | [Algorithms](https://www.amazon.com/Algorithms-4th-Robert-Sedgewick/dp/032157351X), by Robert Sedgewick and Kevin Wayne | This book is neatly categorized, coupled with elaborate explanations and fantastic illustrations. It is used in some IOI training camps as a textbook. |
| | [Algorithms and Data Structures in Action](https://www.manning.com/books/algorithms-and-data-structures-in-action), by Marcello La Rocca | This book provides a different approach to algorithms, balancing theory with a more practical angle, with a section per-chapter focusing on how to apply algorithms to real-world use cases that can be found in your daily work, or in competitive programming; it also presents a blend of classic, advanced, and new algorithms. |
| ★★★ | [Algorithms](https://jeffe.cs.illinois.edu/teaching/algorithms/), by Jeff Erickson | A free electronic version of a self-published textbook licensed under CC by 4.0. This is a well written book from lecture notes of theoretical computer science courses at the University of Illinois. Covers the main paradigms of backtracking, dynamic programming, greedy, and particularly graphs in depth. |
| | [Grokking Data Structures](https://www.manning.com/books/grokking-data-structures), by Marcello La Rocca | 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, and you won’t need anything more than high school math to get started. Each data structure you encounter comes with its own complete Python implementation so you can start experimenting with what you learn right away. |

### Books for Mathematics

Expand Down