- Set up a productive development environment
- Customize the Python prompt and deploy setuptools
- Write efficient syntax: iterators, generators, and decorators
- Build arguments by design and follow the best practices for working on API
- Build, release, and distribute your applications
- Write an application based on several eggs
- Distribute and deploy your application with zc.buildout
- Build and release your packages and set up a development cycle
- Manage your code with distributed version control and continuous integration
- Use an iterative and incremental approach to write software
- Practice Test-Driven Development
- Profile and optimize your code to speed up your programs
- Apply design patterns to your applications
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.
