Book Image

Expert Python Programming - Third Edition

By : Michał Jaworski, Tarek Ziadé
Book Image

Expert Python Programming - Third Edition

By: Michał Jaworski, Tarek Ziadé

Overview of this book

Python is a dynamic programming language that's used in a wide range of domains thanks to its simple yet powerful nature. Although writing Python code is easy, making it readable, reusable, and easy to maintain is challenging. Complete with best practices, useful tools, and standards implemented by professional Python developers, the third edition of Expert Python Programming will help you overcome this challenge. The book will start by taking you through the new features in Python 3.7. You'll then learn the advanced components of Python syntax, in addition to understanding how to apply concepts of various programming paradigms, including object-oriented programming, functional programming, and event-driven programming. This book will also guide you through learning the naming best practices, writing your own distributable Python packages, and getting up to speed with automated ways to deploy your software on remote servers. You’ll discover how to create useful Python extensions with C, C++, Cython, and CFFI. Furthermore, studying about code management tools, writing clear documentation, and exploring test-driven development will help you write clean code. By the end of the book, you will have become an expert in writing efficient and maintainable Python code.
Table of Contents (25 chapters)
Free Chapter
1
Section 1: Before You Start
4
Section 2: Python Craftsmanship
12
Section 3: Quality over Quantity
16
Section 4: Need for Speed
20
Section 5: Technical Architecture
23
reStructuredText Primer

Python's venv

There are several ways to isolate Python at runtime. The simplest and most obvious, although hardest to maintain, is to manually change the PATH and PYTHONPATH environment variables and/or move the Python binary to a different, customized place where we want to store our project's dependencies, in order to affect the way that it discovers available packages. Fortunately, there are several tools available that can help in maintaining the virtual environments and packages that are installed for these environments. These are mainly virtualenv and venv. What they do under the hood is, in fact, the same that we would do manually. The actual strategy depends on the specific tool implementation, but generally they are more convenient to use and can provide additional benefits.

To create new virtual environment, you can simply use the following command:

python3...