Algorithms Illuminated (Part 2): Graph Algorithms and Data Structures

Accessible, no-nonsense, and programming language-agnostic introduction to algorithms. Includes solutions to all quizzes and selected problems, and a series of YouTube videos by the author accompanies the book. Part 2 covers graph search and its applications, shortest-path algorithms, and the applications and implementation of several data structures: heaps, search trees, hash tables, and bloom filters. (Part 1 is not a prerequisite.)

• Algorithms Illuminated: Part 1: The Basics
• Algorithms Illuminated (Part 3): Greedy Algorithms and Dynamic Programming
• Twenty Lectures on Algorithmic Game Theory
• Dynamic Programming for Coding Interviews: A Bottom-Up approach to problem solving
• The Hundred-Page Machine Learning Book
• Decision Trees and Random Forests: A Visual Introduction For Beginners: A Simple Guide to Machine Learning with Decision Trees
• Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data
• Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares
• The Algorithm Design Manual
• Algorithmic Puzzles