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
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15
Index

Let's Begin Our Automation Journey

The objective of this chapter is to lay down some of the basic techniques that will be useful throughout the whole book. The main idea is to create a good Python environment to run the automation tasks that follow and be able to parse text inputs into structured data.

Python has a good number of tools installed by default, but it also makes it easy to install third-party tools that can simplify many common operations. We'll see how to import modules from external sources and use them to leverage the full potential of Python.

We will install and use tools to help process texts. The ability to structure input data is critical in any automation task. Most of the data that we will process in this book will come from unformatted sources such as web pages or text files. As the old computer adage says, garbage in, garbage out, making the sanitizing of inputs a very important task.

In this chapter, we'll cover the following recipes:

  • Activating a virtual environment
  • Installing third-party packages
  • Creating strings with formatted values
  • Manipulating strings
  • Extracting data from structured strings
  • Using a third-party tool—parse
  • Introducing regular expressions
  • Going deeper into regular expressions
  • Adding command-line arguments

We will start by creating our own self-contained environment to work in.