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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Combining pytest and doctest tests

In most cases, we'll have a combination of pytest and doctest test cases. For examples of using the doctest tool, see the Using docstrings for testing recipe. For examples of using the pytest tool, see the Unit testing with the pytest module recipe.

The doctest examples are an essential element of the documentation strings on modules, classes, methods, and functions. The pytest cases will often be in a separate tests directory in files with names that match the pattern test_*.py.

In this recipe, we'll combine the doctest examples and the pytest test cases into one tidy package.

Getting ready

We'll refer back to the example from the Using docstrings for testing recipe. This recipe created tests for a class, Summary, that does some statistical calculations. In that recipe, we included examples in the docstrings.

The class started like this:

class Summary:
    Computes summary statistics...