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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Unit testing with the unittest module

The unittest module allows us to step beyond the examples used by doctest. Each test case can have one more scenario built as a subclass of the unittest.TestCase class. These use result checks that are more sophisticated than the literal text matching used by the doctest tool.

The unittest module also allows us to package tests outside docstrings. This can be helpful for tests for edge cases that might be too detailed to be helpful documentation. Often, doctest cases focus on the happy path—the most common use cases, where everything works as expected. We can use the unittest module to define test cases that are both on as well as off the happy path.

This recipe will show how we can use the unittest module to create more sophisticated tests. It will step beyond simple text comparison to use the more sophisticated assertion methods of the unittest.TestCase class.

Getting ready

It's sometimes helpful to summarize...