This chapter started with topic differences between Python 2 and 3 with advice on how to deal with the current situation where a big part of its community is torn between two worlds. Then, it came to the modern approaches to Python development that were surprisingly developed mostly due to this unfortunate split between two major versions of the language. These are mostly different solutions to the environment isolation problem. The chapter ended with a short summary of the popular productivity tools as well as popular resources for further reference.
Expert Python Programming - Second Edition
By :
Expert Python Programming - Second Edition
By:
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
Free Chapter
Current Status of Python
Syntax Best Practices – below the Class Level
Syntax Best Practices – above the Class Level
Choosing Good Names
Writing a Package
Deploying Code
Python Extensions in Other Languages
Documenting Your Project
Test-Driven Development
Optimization – General Principles and Profiling Techniques
Optimization – Some Powerful Techniques
Concurrency
Useful Design Patterns
Index
Customer Reviews