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
• Decision Trees and Random Forests: A Visual Introduction For Beginners
• A Philosophy of Software Design
• Writing A Compiler In Go
• Twenty Lectures on Algorithmic Game Theory
• A Common-Sense Guide to Data Structures and Algorithms: Level Up Your Core Programming Skills
• The Little Typer (The MIT Press)
• Grokking Algorithms: An illustrated guide for programmers and other curious people
• Math with Bad Drawings: Illuminating the Ideas That Shape Our Reality
• Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more