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Data Structures the Fun Way

作者：Jeremy Kubica

出版社：‎No Starch Press

出版年：2022-11

ISBN：9781718502604

所属分类：行业好书

书刊介绍

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.

作品目录

Introduction
Chapter 1: Information in Memory
Chapter 2: Binary Search
Chapter 3: Dynamic Data Structures
Chapter 4: Stacks and Queues
Chapter 5: Binary Search Trees
Chapter 6: Tries and Adapting Data Structures
Chapter 7: Priority Queues and Heaps
Chapter 8: Grids
Chapter 9: Spatial Trees
Chapter 10: Hash Tables
Chapter 11: Caches
Chapter 12: B-trees
Chapter 13: Bloom Filters
Chapter 14: Skip Lists
Chapter 15: Graphs
Conclusion
· · · · · ·

作者简介

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...

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