saadhan - resource hub by r/developersIndia

Coding Interview University

Reviews

"Strongly Recommended to learn DS and Computer Science fundamentals"

Algorithmic Graph Theory

Algorithms {fundamental techniques}

Algorithms, 4th Edition

Algorithms and Automatic Computing Machines (1963)

Algorithms and Complexity by Herbert S. Wilf (University of Pennsylvania)

Algorithms Course Materials by Jeff Erickson (University of Illinois)

VisuAlgo.net - visualising data structures and algorithms through animation

Annotated Algorithms in Python: Applications in Physics, Biology, and Finance

Binary Trees by Nick Parlante - CS Library Stanford

Clever Algorithm by Jason Brownlee

Data Structures (Into Java) - Paul N. Hilfinger (University of California, Berkeley)

Think Complexity by Allen B. Downey

The Great Tree-List Recursion Problem by Nick Parlante

Data Structures and Algorithms: Annotated Reference with Examples

The Design of Approximation Algorithms

The Art of Computer Programming by Donald E. Knuth.

The Algorithm Design Manual

Text Algorithms

Planning Algorithms by Steven M. LaValle

Open Data Structures: An open content textbook

Matters Computational: Ideas, Algorithms, Source Code

The LEDA Platform of Combinatorial and Geometric Computing

Handbook of Graph Drawing and Visualization

Introduction to Algorithms, Second Edition

Problems On Algorithms (Practice Book for Algorithms)

Competitive Programmer's Handbook

The Hitchhiker’s Guide to the Programming Contests

Competitive Programming I

450 DSA Cracker

Reviews

"450 DSA is a open-source project on github made to keep track of your DSA problems."

"The question set gives you a general idea of the types of problems that can be asked in an interview."

Hello Algo