Book Image

Expert Python Programming - Second Edition

By : Michał Jaworski
Book Image

Expert Python Programming - Second Edition

By: Michał Jaworski

Overview of this book

Python is a dynamic programming language, used in a wide range of domains by programmers who find it simple, yet powerful. Even if you find writing Python code easy, writing code that is efficient and easy to maintain and reuse is a challenge. The focus of the book is to familiarize you with common conventions, best practices, useful tools and standards used by python professionals on a daily basis when working with code. You will begin with knowing new features in Python 3.5 and quick tricks for improving productivity. Next, you will learn advanced and useful python syntax elements brought to this new version. Using advanced object-oriented concepts and mechanisms available in python, you will learn different approaches to implement metaprogramming. You will learn to choose good names, write packages, and create standalone executables easily. You will also be using some powerful tools such as buildout and vitualenv to release and deploy the code on remote servers for production use. Moving on, you will learn to effectively create Python extensions with C, C++, cython, and pyrex. The important factors while writing code such as code management tools, writing clear documentation, and test-driven development are also covered. You will now dive deeper to make your code efficient with general rules of optimization, strategies for finding bottlenecks, and selected tools for application optimization. By the end of the book, you will be an expert in writing efficient and maintainable code.
Table of Contents (21 chapters)
Expert Python Programming Second Edition
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Preface
Index

Structural patterns


Structural patterns are really important in big applications. They decide how the code is organized and give developers recipes on how to interact with each part of the application.

For a long time, the most well-known implementation of many structural patterns in the Python world provided the Zope project with its Zope Component Architecture (ZCA). It implements most of the patterns described in this section and provides a rich set of tools to work with them. The ZCA is intended to run not only in the Zope framework, but also in other frameworks such as Twisted. It provides an implementation of interfaces and adapters among other things.

Unfortunately (or not), Zope lost almost all of its momentum and is not as popular as it used to be. But its ZCA may still be a good reference on implementing structural patterns in Python. Baiju Muthukadan created A Comprehensive Guide to Zope Component Architecture. It is available both in print and freely online (refer to http://muthukadan...