IntroductionChapter 1: Problem-Solving with AlgorithmsChapter 2: Algorithms in HistoryChapter 3: Maximizing and MinimizingChapter 4: Sorting and Searching Chapter 5: Pure MathChapter 6: Advanced OptimizationChapter 7: GeometryChapter 8: LanguageChapter 9: Machine LearningChapter 10: Artificial IntelligenceChapter 11: Forging AheadIndex

“This book is based entirely on learning math, but it does a really good job of changing how it’s learned. Instead of trying to give you a dry math lecture, this book will tell a story with each of its chapters. This story based education ties real world problems and solutions with the algorithms that this book is trying to teach.”—Ian Mizer, Cloud Support Engineer“An excellent self-discovery approach to learning algorithms.”—Ira Laefsky, Vine Voice“A clear and concise introduction to algorithmic thinking. This is especially important in today's world where resolving processes using computers is far more important than ever before. Python is not the main focus of the book, more like the algorithmic language using which a variety of topics are explored. Top marks for content and style.”—Brian G. McEnery, Amazon Reviewer“[This] book has been great about teaching you what you need to know to do each section! I'd recommend giving it a shot!”—@ViolanteCode

A fun yet thorough Python-based introduction to algorithms, which are sets of instructions that allow a computer to solve problems. The book tackles classic algorithms like searching, sorting, and optimization as well as those used in fields like machine learning and artificial intelligence.