Expert Python programming : learn best practices to designing, coding, and distributing your Python software
著者
書誌事項
Expert Python programming : learn best practices to designing, coding, and distributing your Python software
（From technologies to solutions）
Packt Publishing, 2008
- タイトル別名
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Expert Python programming : best practices to designing, coding, and distributing your Python software
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注記
Includes index
内容説明・目次
内容説明
This book is an authoritative exploration of Python best practices and applications of agile methodologies to Python, illustrated with practical, real-world examples. This book is for Python developers who are already building applications, but want to build better ones by applying best practices and new development techniques to their projects. The reader is expected to have a sound background in Python programming.
目次
Chapter 1, Getting Started, explains how to install Python and makes sure all readers have the closest, standardized environment. Chapter 2, Syntax Best Practices Below the Class Level, presents iterators, generators, descriptors and so on, in an advanced way. Chapter 3, Syntax Best Practices Above the Class Level, is also about syntax best practices, but focuses on above the class level. Chapter 4, Choosing Good Names, is an extension to PEP 8 with naming best practices, but also gives tips on designing good APIs. Chapter 5, Writing a Package, explains how to write a package and how to use code templates, then focuses on how to release and distribute your code. Chapter 6, Writing an Application, extends Chapter 5 by describing how a full application can be written. It demonstrates it through a small case study called Atomisator. Chapter 7, Using zc.buildout, is about zc.buildout, a system for managing a development environment and releasing applications, which is widely used in the Zope and Plone community and is starting to be used outside the Zope world. Chapter 8, Managing Code, shows how your project code base can be managed with distributed instead of centralized version control and explains how to set up continuous integration. Chapter 9, Managing Life Cycle, presents how to manage software life cycle through an iterative and incremental approach. Chapter 10, Documenting Your Project, is about documentation and gives tips on technical writing and how Python projects should be documented. Chapter 11, Test-Driven Development, explains Test-Driven Development and the tools that can be used to do it. Chapter 12, Optimization General Principle and Profiling Techniques, gives profiling techniques and an optimization strategy guideline. Chapter 13, Optimization Solutions, extends Chapter 12 by providing some solutions to speed up your programs. Chapter 14, Useful Design Patterns, ends the book with a set of design patterns and when to use them.
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