出版时间：2022.9
官网链接：No Starch Press
下载地址：百度网盘(PDF+EPUB+MOBI)
内容简介：
This accessible and entertaining book provides an in-depth introduction to computational thinking through the lens of data structures — a critical component in any programming endeavor. Through diagrams, pseudocode, and humorous analogies, you’ll learn how the structure of data drives algorithmic operations, gaining insight into not just how to build data structures, but precisely how and when to use them.
This book will give you a strong background in implementing and working with more than 15 key data structures, from stacks, queues, and caches to bloom filters, skip lists, and graphs. Master linked lists by standing in line at a cafe, hash tables by cataloging the history of the summer Olympics, and Quadtrees by neatly organizing your kitchen cabinets. Along with basic computer science concepts like recursion and iteration, you’ll learn:
- The complexity and power of pointers
- The branching logic of tree-based data structures
- How different data structures insert and delete data in memory
- Why mathematical mappings and randomization are useful
- How to make tradeoffs between speed, flexibility, and memory usage
Data Structures the Fun Way shows how to efficiently apply these ideas to real-world problems—a surprising number of which focus on procuring a decent cup of coffee. At any level, fully understanding data structures will teach you core skills that apply across multiple programming languages, taking your career to the next level.
Author Bio
Jeremy Kubica is an engineer director specializing in artificial intelligence and machine learning. He received a Ph.D. in Robotics from Carnegie Mellon University and a BS in Computer Science from Cornell University. He spent his graduate school years creating algorithms to detect killer asteroids (actually stopping them was, of course, left as “future work”). He is the author of multiple books designed to introduce people to computer science, including Computational Fairy Tales and The CS Detective, as well as the Computational Fairy Tales Blog.