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Python Automation Cookbook

You're reading from   Python Automation Cookbook 75 Python automation recipes for web scraping; data wrangling; and Excel, report, and email processing

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Product type Paperback
Published in May 2020
Publisher Packt
ISBN-13 9781800207080
Length 526 pages
Edition 2nd Edition
Languages
Tools
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Author (1):
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Jaime Buelta Jaime Buelta
Author Profile Icon Jaime Buelta
Jaime Buelta
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Toc

Table of Contents (16) Chapters Close

Preface 1. Let's Begin Our Automation Journey 2. Automating Tasks Made Easy FREE CHAPTER 3. Building Your First Web Scraping Application 4. Searching and Reading Local Files 5. Generating Fantastic Reports 6. Fun with Spreadsheets 7. Cleaning and Processing Data 8. Developing Stunning Graphs 9. Dealing with Communication Channels 10. Why Not Automate Your Marketing Campaign? 11. Machine Learning for Automation 12. Automatic Testing Routines 13. Debugging Techniques 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...
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