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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 Practice will 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 at www.qtrac.eu/pipbook.html.
Please visit the author's site here.
Download the sample pages (includes Chapter 1 and Index)
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