![]() ![]() Old-style classes and super in Python 2.Syntax Best Practices – above the Class Level ![]() Other syntax elements you may not know yet.General syntax and possible implementations.Beyond basic collections – the collections module.Syntax Best Practices – below the Class Level Setting up the PYTHONSTARTUP environment variable.Custom Python shells – IPython, bpython, ptpython, and so on.Virtual development environments using Vagrant.Application-level isolation of Python environments.Modern approaches to Python development.The popular tools and techniques used for maintaining cross-version compatibility.The main syntax differences and common pitfalls.The main differences between Python 3 and Python 2.Python 3 adoption at the time of writing this book.Getting up to date with changes – PEP documents.Where are we now and where we are going?.Expert Python Programming Second Edition.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.īy the end of the book, you will be an expert in writing efficient and maintainable code.Īn easy-to-follow guide that covers industry followed best practices in Python programming The important factors while writing code such as code management tools, writing clear documentation, and test-driven development are also covered. Moving on, you will learn to effectively create Python extensions with C, C++, cython, and pyrex. 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. You will learn to choose good names, write packages, and create standalone executables easily. Using advanced object-oriented concepts and mechanisms available in python, you will learn different approaches to implement metaprogramming. Next, you will learn advanced and useful python syntax elements brought to this new version. You will begin with knowing new features in Python 3.5 and quick tricks for improving productivity. 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. Even if you find writing Python code easy, writing code that is efficient and easy to maintain and reuse is a challenge. Python is a dynamic programming language, used in a wide range of domains by programmers who find it simple, yet powerful. Extend python with code written in different languages.Improve your code's quality, reliability, and performance.Easy and lightweight ways to automate code deployment on remote systems.Package python code effectively for community and production use.Conventions and best practices that are widely adopted in the python community.Basic knowledge of Python programming is expected. The book would appeal to web developers and Python programmers who want to start using version 3.5 and write code efficiently. Packed with advanced concepts and best practices to write efficient Python code. ![]()
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