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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

Writing a basic Word document

Microsoft (MS) Office is one of the most common pieces of software, and MS Word in particular is almost the de facto standard for editable documents. Generating docx documents is possible with automated scripts, which may help distribute reports in a format that's easily shared in many businesses.

In this recipe, we will learn how to generate a full Word document programmatically.

Getting ready

We'll use the python-docx module to process Word documents:

$ echo "python-docx==0.8.10" >> requirements.txt 
$ pip install -r requirements.txt 

How to do it...

  1. Import python-docx and datetime:
    >>> import docx
    >>> from datetime import datetime
    
  2. Define the context with the data to be stored in the report:
    >>> context = {
    ...     'date': datetime.now(),
    ...     'movies': ['Casablanca', 'The Sound of Music'...
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