Book Image

Modern Python Cookbook - Second Edition

By : Steven F. Lott
Book Image

Modern Python Cookbook - Second Edition

By: Steven F. Lott

Overview of this book

Python is the preferred choice of developers, engineers, data scientists, and hobbyists everywhere. It is a great language that can power your applications and provide great speed, safety, and scalability. It can be used for simple scripting or sophisticated web applications. By exposing Python as a series of simple recipes, this book gives you insight into specific language features in a particular context. Having a tangible context helps make the language or a given standard library feature easier to understand. This book comes with 133 recipes on the latest version of Python 3.8. The recipes will benefit everyone, from beginners just starting out with Python to experts. You'll not only learn Python programming concepts but also how to build complex applications. The recipes will touch upon all necessary Python concepts related to data structures, object oriented programming, functional programming, and statistical programming. You will get acquainted with the nuances of Python syntax and how to effectively take advantage of it. By the end of this Python book, you will be equipped with knowledge of testing, web services, configuration, and application integration tips and tricks. You will be armed with the knowledge of how to create applications with flexible logging, powerful configuration, command-line options, automated unit tests, and good documentation.
Table of Contents (18 chapters)
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Test tool setup

Python has two built-in testing frameworks. The doctest tool examines docstrings for examples that include the >>> prompt. While this is widely used for unit testing, it can also be used for some kinds of integration testing.

The other built-in testing framework uses classes defined in the unittest module. The tests are extensions to the TestCase class. This, too, is designed primarily for unit testing, but can also be applied to integration and performance testing. These tests are run using the unittest tool.

It turns out there's a tool that lets us run both kinds of tests. It's very helpful to install the pytest tool. This mini-recipe will look at installing the pytest tool and using it for testing.

How to do it…

This needs to be installed separately with a command like the following:

python -m pip install pytest

Why it works…

The pytest tool has sophisticated test discovery. It can locate...