Skip to content

Added Grokking Data Structures #143

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

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

Added Grokking Data Structures #143

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 @@ -135,6 +135,7 @@ Share the list with your classmates, your friends and everyone :)
| ★★☆ | [The Algorithm Design Manual](https://www.amazon.com/Algorithm-Design-Manual-Steven-Skiena/dp/1848000693), by Steven S. Skiena | The book is written in more readable text. Some find it comprehensive than other books. You can also find some good resources (including the author's own video lectures) on its [official website](http://www.algorist.com). |
| ★★★ | [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. |
| *** | [Grokking Data Structures](https://www.manning.com/books/grokking-data-structures), by Marcello La Rocca | This fun, friendly, and fully-illustrated guide makes it easy to learn useful data structures you’ll put to work every day. |
| ★★★ | [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. |

### Books for Mathematics
Expand Down