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Expert Python Programming

Expert Python Programming - Second Edition

By : Tarek Ziadé, Tarek Ziade
3.8 (4)
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Expert Python Programming

Expert Python Programming

3.8 (4)
By: Tarek Ziadé, Tarek Ziade

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 (16 chapters)
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15
Index

Multithreading

Threading is often considered to be a complex topic by developers. While this statement is totally true, Python provides high-level classes and functions that ease the usage of threading. CPython's implementation of threads comes with some inconvenient details that make them less useful than in other languages. They are still completely fine for some set problems that you may want to solve, but not for as many as in C or Java. In this section, we will discuss the limitations of multithreading in CPython, as well as the common concurrent problems where Python threads are a viable solution.

What is multithreading?

Thread is short for a thread of execution. A programmer can split his or her work into threads that run simultaneously and share the same memory context. Unless your code depends on third-party resources, multithreading will not speed it up on a single-core processor, and will even add some overhead for thread management. Multi-threading will benefit from a multiprocessor...

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Expert Python Programming
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