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Michael T. Goodrich
人物简介:
Data Structures and Algorithms in Python书籍相关信息
- ISBN:9781118290279
- 作者:Michael T. Goodrich / Roberto Tamassia / Michael H. Goldwasser
- 出版社:John Wiley & Sons
- 出版时间:2013-7-5
- 页数:768
- 价格:GBP 121.23
- 纸张:暂无纸张
- 装帧:Hardcover
- 开本:暂无开本
- 语言:暂无语言
- 适合人群:Students studying computer science, software developers, programmers, educators in computer science, self-learners, and anyone interested in improving their programming skills with a focus on algorithms and data structures.
- TAG:Education / Computer Science / Software Engineering / Python Programming / Data Structures / Algorithm Analysis / computer books
- 豆瓣评分:9.4
- 更新时间:2025-05-16 23:39:15
内容简介:
Based on the authors' market leading data structures books in Java and C++, this book offers a comprehensive, definitive introduction to data structures in Python by authoritative authors. Data Structures and Algorithms in Python is the first authoritative object-oriented book available for Python data structures. Designed to provide a comprehensive introduction to data structures and algorithms, including their design, analysis, and implementation, the text will maintain the same general structure as Data Structures and Algorithms in Java and Data Structures and Algorithms in C++. Begins by discussing Python's conceptually simple syntax, which allows for a greater focus on concepts. Employs a consistent object-oriented viewpoint throughout the text. Presents each data structure using ADTs and their respective implementations and introduces important design patterns as a means to organize those implementations into classes, methods, and objects. Provides a thorough discussion on the analysis and design of fundamental data structures. Includes many helpful Python code examples, with source code provided on the website. Uses illustrations to present data structures and algorithms, as well as their analysis, in a clear, visual manner. Provides hundreds of exercises that promote creativity, help readers learn how to think like programmers, and reinforce important concepts. Contains many Python-code and pseudo-code fragments, and hundreds of exercises, which are divided into roughly 40% reinforcement exercises, 40% creativity exercises, and 20% programming projects.
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