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

The three rules of optimization


Optimization has a price, no matter what the results are. When a piece of code works, it might be better (sometimes) to leave it alone than to try making it faster at all costs. There are a few rules to keep in mind when doing any kind of optimization:

  • Make it work first

  • Work from the user's point of view

  • Keep the code readable

Make it work first

A very common mistake is to try to optimize the code while you are writing it. This is mostly pointless because the real bottlenecks are often located where you would have never thought they would be.

An application is usually composed of very complex interactions, and it is impossible to get a full picture of what is going on before it is really used.

Of course, this is not a reason to write a function or a method without trying to make it as fast as possible. You should be careful to lower its complexity as much as possible and avoid useless repetition. But the first goal is to make it work. This goal should not be hindered...