Book Image

Python Automation Cookbook - Second Edition

By : Jaime Buelta
Book Image

Python Automation Cookbook - Second Edition

By: Jaime Buelta

Overview of this book

In this updated and extended version of Python Automation Cookbook, each chapter now comprises the newest recipes and is revised to align with Python 3.8 and higher. The book includes three new chapters that focus on using Python for test automation, machine learning projects, and for working with messy data. This edition will enable you to develop a sharp understanding of the fundamentals required to automate business processes through real-world tasks, such as developing your first web scraping application, analyzing information to generate spreadsheet reports with graphs, and communicating with automatically generated emails. Once you grasp the basics, you will acquire the practical knowledge to create stunning graphs and charts using Matplotlib, generate rich graphics with relevant information, automate marketing campaigns, build machine learning projects, and execute debugging techniques. By the end of this book, you will be proficient in identifying monotonous tasks and resolving process inefficiencies to produce superior and reliable systems.
Table of Contents (16 chapters)
14
Other Books You May Enjoy
15
Index

Preparing testing scenarios

Tests are typically prepared in batches. Similar tests require a similar setup and cleanup, and they only differ on small details. Repeating the same preparation over and over generates boilerplate code and it's less readable.

The term boilerplate comes from 19th century local newspapers printing already-prepared news stamped onto metal plates by distribution companies. This meant the same news, in the same format, was repeated all across different newspapers. Boilerplate code is reused code that presents little or no variation, and, in most cases, mainly adds clutter. When creating tests, it is easy to fall into this pattern, which makes the code cumbersome.

In this recipe, we will see how to prepare setup scenarios to run tests using pytest fixtures.

Getting ready

We will use the pytest module. We should install the modules, adding them to our requirements.txt file as follows:

$ echo "pytest==5.4.1" >...