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Python在实践:创造更好的程序使用Concurrency, Libraries, and Patterns

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Python在实践:创造更好的程序使用Concurrency, Libraries, and Patterns

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About

Features

  • Introduces readers to solid, well-established third-party libraries that greatly extend the standard Python library.
  • Expands upon many key areas including user-interface, graphics, and multi-core and distribution programming
  • Python 3 is becoming the dominant form of Python and this is one of the only books out there to cover just Python 3

Description

  • Copyright 2014
  • Dimensions: 7" x 9"
  • Pages: 336
  • Edition: 1st
  • Book
  • ISBN-10: 0-321-90563-6
  • ISBN-13: 978-0-321-90563-5

Winner of the 2014 Jolt Award for "Best Book"

“Whether you are an experienced programmer or are starting your career, Python in Practice is full of valuable advice and example to help you improve your craft by thinking about problems from different perspectives, introducing tools, and detailing techniques to create more effective solutions.”

—Doug Hellmann,Senior Developer, DreamHost

If you’re an experienced Python programmer,Python in Practicewill help you improve the quality, reliability, speed, maintainability, and usability of all your Python programs.

Mark Summerfield focuses on four key themes: design patterns for coding elegance, faster processing through concurrency and compiled Python (Cython), high-level networking, and graphics. He identifies well-proven design patterns that are useful in Python, illuminates them with expert-quality code, and explains why some object-oriented design patterns are irrelevant to Python. He also explodes several counterproductive myths about Python programming—showing, for example, how Python can take full advantage of multicore hardware.

All examples, including three complete case studies, have been tested with Python 3.3 (and, where possible, Python 3.2 and 3.1) and crafted to maintain compatibility with future Python 3.x versions. All code has been tested on Linux, and most code has also been tested on OS X and Windows. All code may be downloaded atwww.qtrac.eu/pipbook.html.

Coverage includes

  • Leveraging Python’s most effective creational, structural, and behavioral design patterns
  • Supporting concurrency with Python’s multiprocessing, threading, and concurrent.futures modules
  • Avoiding concurrency problems using thread-safe queues and futures rather than fragile locks
  • Simplifying networking with high-level modules, including xmlrpclib and RPyC
  • Accelerating Python code with Cython, C-based Python modules, profiling, and other techniques
  • Creating modern-looking GUI applications with Tkinter
  • Leveraging today’s powerful graphics hardware via the OpenGL API using pyglet and PyOpenGL

Sample Content

Online Sample Chapter

Creational Design Patterns in Python

Sample Pages

Download the sample pages(includes Chapter 1 and Index)

Table of Contents

Foreword xiii

Introduction 1

Acknowledgments 3

Chapter 1: Creational Design Patterns 5

1.1. Abstract Factory Pattern 5

1.2. Builder Pattern 11

1.3. Factory Method Pattern 17

1.4. Prototype Pattern 24

1.5. Singleton Pattern 26

Chapter 2: Structural Design Patterns 29

2.1. Adapter Pattern 29

2.2. Bridge Pattern 34

2.3. Composite Pattern 40

2.4. Decorator Pattern 48

2.5. Façade Pattern 59

2.6. Flyweight Pattern 64

2.7. Proxy Pattern 67

Chapter 3: Behavioral Design Patterns 73

3.1. Chain of Responsibility Pattern 74

3.2. Command Pattern 79

3.3. Interpreter Pattern 83

3.4. Iterator Pattern 95

3.5. Mediator Pattern 100

3.6. Memento Pattern 106

3.7. Observer Pattern 107

3.8. State Pattern 111

3.9. Strategy Pattern 116

3.10. Template Method Pattern 119

3.11. Visitor Pattern 123

3.12. Case Study: An Image Package 124

Chapter 4: High-Level Concurrency 141

4.1. CPU-Bound Concurrency 144

4.2. I/O-Bound Concurrency 155

4.3. Case Study: A Concurrent GUI Application 164

Chapter 5: Extending Python 179

5.1. Accessing C Libraries with ctypes 180

5.2. Using Cython 187

5.3. Case Study: An Accelerated Image Package 198

Chapter 6: High-Level Networking 203

6.1. Writing XML-RPC Applications 204

6.2. Writing RPyC Applications 219

Chapter 7: Graphical User Interfaces with Tkinter 231

7.1. Introduction to Tkinter 233

7.2. Creating Dialo

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