Python Programming with Design Patterns

Cooper, James

  • 出版商: Addison Wesley
  • 出版日期: 2021-12-17
  • 售價: $1,750
  • 貴賓價: 9.5$1,663
  • 語言: 英文
  • 頁數: 352
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 0137579934
  • ISBN-13: 9780137579938
  • 相關分類: PythonDesign Pattern 設計模式
  • 立即出貨

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商品描述

Improve Your Python Code with Modern Object-Oriented Design Patterns

To write clean, efficient, maintainable code, developers everywhere turn to design patterns. Now there's a Python-specific patterns guide that's friendly and practical enough for every Python developer, regardless of experience.

Best-selling patterns author James W. Cooper presents visual, example-driven explanations of 23 proven patterns for writing superior object-oriented code. Through clear and intuitive code samples, he introduces modern techniques for creating Python objects that interact effectively in powerful, flexible programs. Python newcomers--including those moving from other languages--will find a succinct introduction designed to get them up to speed fast.

Cooper's wide-ranging patterns coverage addresses abstract classes, multiple inheritance, GUI programming and widgets, graphical classes, drawing and plotting, math, databases, Python decorators, images, threads, iterators, creating executable code, and more. Throughout, his informal visual presentation makes patterns far easier to work with--so you can confidently build sophisticated programs that use Python's rich capabilities.

  • Review the essentials of Python objects and visual programming
  • Learn what design patterns are, and how they help you write better code
  • Use creational patterns to enhance flexibility and avoid unnecessary complexity
  • Apply structural patterns to ensure that program elements work together well in large programs
  • Optimize communication between objects with behavioral patterns

 

作者簡介

James W. Cooper holds a PhD in chemistry and worked in academia, for the scientific instrument industry, and for IBM for 25 years, primarily as a computer scientist at IBM's Thomas J. Watson Research Center. Now retired, he is the author of 20 books, including 3 on design patterns in various languages. His most recent books are Flameout: The Rise and Fall of IBM Instruments (2019) and Food Myths Debunked (2014).

James holds 11 patents and has written 60 columns for JavaPro Magazine. He has also written nearly 1,000 columns for the now vanished Examiner.com on foods and chemistry, and he currently writes his own blog: FoodScienceInstitute.com. Recently, he has written columns on Python for Medium.com and Substack.

He is also involved in local theater groups and is the treasurer for Troupers Light Opera, where he performs regularly.