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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

Creating a simple report in plain text

The simplest possible way to create a report is to generate plain text and store it in a file. Though this may seem simplistic in comparison with other formats that we will see later, don't underestimate its utility. Plain text is the easiest format to share as it will work in virtually all environments, and textual information can go a long way in representing information.

Getting ready

For this recipe, we will generate a brief report in text format about the number of watched movies in the last month and total time. Internally, the original data to be represented will be in the shape of a Python dictionary. The report will include the generation date as well, for reference.

How to do it...

  1. Import datetime:
    >>> from datetime import datetime
    
  2. Create the template with the report in text format:
    >>> TEMPLATE = '''
    Movies report
    -------------
    Date: {date...
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