Book Image

Python Automation Cookbook

By : Jaime Buelta
Book Image

Python Automation Cookbook

By: Jaime Buelta

Overview of this book

Have you been doing the same old monotonous office work over and over again? Or have you been trying to find an easy way to make your life better by automating some of your repetitive tasks? Through a tried and tested approach, understand how to automate all the boring stuff using Python. The Python Automation Cookbook helps you develop a clear understanding of how to automate your business processes using Python, including detecting opportunities by scraping the web, analyzing information to generate automatic spreadsheets reports with graphs, and communicating with automatically generated emails. You’ll learn how to get notifications via text messages and run tasks while your mind is focused on other important activities, followed by understanding how to scan documents such as résumés. Once you’ve gotten familiar with the fundamentals, you’ll be introduced to the world of graphs, along with studying how to produce organized charts using Matplotlib. In addition to this, you’ll gain in-depth knowledge of how to generate rich graphics showing relevant information. By the end of this book, you’ll have refined your skills by attaining a sound understanding of how to identify and correct problems to produce superior and reliable systems.
Table of Contents (12 chapters)

Preparing sales information

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

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

This recipe shows step 4 of the campaign.

After sending the information to users, we need to collect the sales log 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.