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Python programming with design patterns / James W. Cooper.

By: Material type: TextTextLanguage: English Publisher: Boston : Addison-Wesley, [2022]Copyright date: ©2022Description: xx, 321 pages illustrations 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780137579938
  • 0137579934
Subject(s): DDC classification:
  • 005.133 23
Contents:
Introduction to Objects -- Visual Programming in Python -- Visual Programming of Tables of Data -- What Are Design Patterns? -- Factory Pattern -- Factory Method Pattern -- Abstract Factory Pattern 75 -- Singleton Pattern -- Builder Pattern -- Prototype Pattern -- Summary of Creational Patterns -- Adapter Pattern -- Bridge Pattern -- Composite Pattern -- Decorator Pattern -- Facade Pattern -- Flyweight Pattern -- Proxy Pattern -- Summary of Structural Patterns -- Chain of Responsibility Pattern -- Command Pattern -- Interpreter Pattern -- Iterator Pattern -- Mediator Pattern -- Memento Pattern -- Observer Pattern -- State Pattern -- Strategy Pattern -- Template Pattern -- Variables and Syntax in Python -- Making Decisions in Python -- Development Environments -- Python Collections and Files - Functions.
Summary: 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.
Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
Book Högskolan Väst Våning 2 Våning 2 005.133 Cooper Checked out 2023-10-13 6004300073482
Total holds: 0

Includes index.

Introduction to Objects -- Visual Programming in Python -- Visual Programming of Tables of Data -- What Are Design Patterns? -- Factory Pattern -- Factory Method Pattern -- Abstract Factory Pattern 75 -- Singleton Pattern -- Builder Pattern -- Prototype Pattern -- Summary of Creational Patterns -- Adapter Pattern -- Bridge Pattern -- Composite Pattern -- Decorator Pattern -- Facade Pattern -- Flyweight Pattern -- Proxy Pattern -- Summary of Structural Patterns -- Chain of Responsibility Pattern -- Command Pattern -- Interpreter Pattern -- Iterator Pattern -- Mediator Pattern -- Memento Pattern -- Observer Pattern -- State Pattern -- Strategy Pattern -- Template Pattern -- Variables and Syntax in Python -- Making Decisions in Python -- Development Environments -- Python Collections and Files - Functions.

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.

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