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Python in Practice

Python in Practice
作者:[美] Mark Summerfield
副标题:Create Better Programs Using Concurrency, Libraries, and Patterns
出版社:Addison-Wesley Professional
出版年:2013-08
ISBN:9780321905635
行业:其它
浏览数:6

内容简介

Python in Practice presents Python programming technologies and techniques to help programmers write code that's elegant, maintainable, and fast. Drawing on both the standard library and important third-party libraries, the book shows how to achieve significant speedups using high-level concurrency and compiled Python. The book is packed with examples and ideas that illustrate a wide range of techniques and modules, encompassing high-level networking, 2D graphics, 3D graphics, and GUI programming---including concurrent GUI programming. The book is aimed at programmers who want to take their Python programming to the next level.

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作者简介

Mark Summerfield Qtrac公司创始人,独立的培训讲师、顾问、技术编辑,Go、Python、C++、Qt和PyQt方面的技术作家。他撰写了大量畅销图书,包括《Rapid GUI Programming with Python and Qt》、《C++ GUI Programming with Qt 4,Second Edition》(与Jasmin Blanchette合著)、《Programming in Python 3,Second Edition》、《Advanced Qt Programming》和《Programming in Go》等。

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目录

Table of Contents

Foreword by Doug Hellmann

Introduction

Acknowledgements

Chapter 1. Creational Design Patterns

Abstract Factory Pattern

A Classic Abstract Factory

A More Pythonic Abstract Factory

Builder Pattern

Factory Method Pattern

Prototype Pattern

Singleton Pattern

Chapter 2. Structural Design Patterns

Adapter Pattern

Bridge Pattern

Composite Pattern

A Classic Composite/Noncomposite Hierarchy

A Single Class for (Non)Composites

Decorator Pattern

Function and Method Decorators

Class Decorators

Facade Pattern

Flyweight Pattern

Proxy Pattern

Chapter 3. Behavioral Design Patterns

Chain of Responsibility Pattern

A Conventional Chain

A Coroutine-based Chain

Command Pattern

Interpreter Pattern

Expression Evaluation with eval()

Code Evaluation with exec()

Code Evaluation using a Subprocess

Iterator Pattern

Sequence Protocol Iterators

Two-argument iter() Function Iterators

Iterator Protocol Iterators

Mediator Pattern

A Conventional Mediator

A Coroutine-based Mediator

Memento Pattern

Observer Pattern

State Pattern

Using State-Sensitive Methods

Using State-Specific Methods

Strategy Pattern

Template Method Pattern

Visitor Pattern

Case Study: An Image Package

Chapter 4. High-Level Concurrency

CPU-bound Concurrency

Using Queues and Multiprocessing

Using Futures and Multiprocessing

I/O-bound Concurrency

Using Queues and Threading

Using Futures and Threading

Case Study: A Concurrent GUI Application

Chapter 5. Extending Python

Accessing C Libraries with ctypes

Using Cython

Accessing c Libraries with Cython

Writing Cython Modules for Greater Speed

Case Study: An Accelerated Image Package

Chapter 6. High-Level Networking

Writing XML-RPC Applications

A Data Wrapper

Writing XML-RPC Servers

Writing XML-RPC Clients

Writing RPyC Applications

A Thread-Safe Data Wrapper

Writing RPyC Servers

Writing RPyC Clients

Chapter 7. Graphical User Interfaces with Tkinter

Introduction to Tkinter

Creating Dialogs with Tkinter

Creating a Dialog-style Application

Creating Application Dialogs

Creating Main Window Applications with Tkinter

Creating a Main Window

Creating Menus

Creating a Status Bar with Indicators

Chapter 8. OpenGL 3D Graphics

A Perspective Scene

Creating a Cylinder with PyOpenGL

Creating a Cylinder with pyglet

An Orthographic Game

Drawing the Board Scene

Handling Scene Object Selection

Handling User Interaction

Appendix A: Epilogue

Appendix B: Selected Bibliograpy

Index

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读书文摘

Python maintains a fairly large internal cache of compiled regexes, so for the second and subsequent calls, Python just looks up the regex rather than recompiling it.

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