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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

Reading Word documents

Word documents (.docx) are another common kind of document that stores mainly text. They are typically generated with Microsoft Office, but other tools also produce compatible files. They are probably the most common format to share files that need to be editable, but they are also common for distributing documents.

We'll see in this recipe how to extract text information from a Word document.

Getting ready

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

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

We have prepared a test file, available in the GitHub Chapter04/documents directory, called document-1.docx, which we'll use in this recipe. Note that this document follows the same Lorem Ipsum pattern that was described in the test document for the Reading PDF files recipe.

How to do it...

  1. Import python-docx:
    >> import docx
    
    ...
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