Think Data Structures

Allen B. Downey

ISBN 10: 1491972394 / ISBN 13: 9781491972397

Published by O Reilly Media, Inc, USA, 2017

About this Item

Num Pages: 180 pages. BIC Classification: UY. Category: (P) Professional & Vocational. . . 2017. 1st Edition. Paperback. . . . . Books ship from the US and Ireland.

Seller Inventory # V9781491972397

Bibliographic Details

• Title: Think Data Structures
• Publisher: O Reilly Media, Inc, USA
• Publication Date: 2017
• Language: English
• ISBN 10: 1491972394
• ISBN 13: 9781491972397
• Binding: Soft cover
• Condition: New

About this title

Synopsis

If you’re a student studying computer science or a software developer preparing for technical interviews, this practical book will help you learn and review some of the most important ideas in software engineering—data structures and algorithms—in a way that’s clearer, more concise, and more engaging than other materials.

By emphasizing practical knowledge and skills over theory, author Allen Downey shows you how to use data structures to implement efficient algorithms, and then analyze and measure their performance. You’ll explore the important classes in the Java collections framework (JCF), how they’re implemented, and how they’re expected to perform. Each chapter presents hands-on exercises supported by test code online.

• Use data structures such as lists and maps, and understand how they work
• Build an application that reads Wikipedia pages, parses the contents, and navigates the resulting data tree
• Analyze code to predict how fast it will run and how much memory it will require
• Write classes that implement the Map interface, using a hash table and binary search tree
• Build a simple web search engine with a crawler, an indexer that stores web page contents, and a retriever that returns user query results

Other books by Allen Downey include Think Java, Think Python, Think Stats, and Think Bayes.

About the Author

Allen B. Downey is a Professor of Computer Science at Olin College of Engineering. He has taught at Wellesley College, Colby College, and U.C. Berkeley. He has a Ph.D. in Computer Science from U.C. Berkeley and Master’s and Bachelor’s degrees from MIT.