Core computer science concepts, such as "data structures and algorithms," are taught using a classist, fucked-up pedagogical approach that makes me viscerally, incoherently angry. Nevertheless, I ...

This is a curated collection of Computer Science books and resources. Topics range from algorithms, data structures, and programming to data science, artificial intelligence, and more. All books and ...

Data structures and algorithms are the backbone of computer science and mastering them is crucial for any aspiring programmer. Mastering Data Structures and Algorithms (DSA) is essential for anyone ...

Data structures and algorithms are essential topics for any computer engineer who wants to design efficient and scalable software systems. However, there are so many books on these subjects that ...

This is an excellent, up-to-date and easy-to-use text on data structures and algorithms that is intended for undergraduates in computer science and information science. The thirteen chapters, written ...

Also known as CLRS, “Introduction to Algorithms” is hailed as the bible of algorithms. It not only provides a systemized overview of this new computer science discipline but also delves deep into a ...

The design, implementation, and analysis of abstract data types, data structures and their algorithms. Topics include: data and procedural abstraction, amortized data structures, trees and search ...

This course covers essential data structures for efficient algorithm design, starting with basic data types and progressing to sequences, trees, sets, maps, and graphs. This course is part of a ...

The design, implementation, and analysis of abstract data types, data structures and their algorithms. Topics include: data and procedural abstraction, amortized data structures, trees and search ...