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 sales information

In this chapter, we are presenting a marketing campaign divided into several tasks:

  • Detect the best moment to launch the campaign
  • Generate individual codes to be sent to potential customers
  • Send the codes directly to users over their preferred channel, text message or email
  • Collect the results of the campaign
  • Generate a sales report with an analysis of the results

This recipe shows task 4 of the campaign.

After sending the information to users, we need to collect the sales logs from the shops to monitor how it is going and how big the campaign's impact is.

The sales logs are reported as individual files from each of the associated shops, so in this recipe, we'll see how to aggregate all the info into a spreadsheet to be able to treat the information as a whole.

Getting ready

For this recipe, we need to install the following modules:

$ echo "openpyxl==3.0.3" >&gt...