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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

Crawling and searching directories

In this recipe, we'll learn how to scan a directory recursively to get all the files contained there. That will include all the files in subdirectories. The matched files can be of a particular kind, like text files, or every single one of them.

This is normally a starting operation when dealing with files, to detect all the existing ones.

Getting ready

Let's start by creating a test directory with some file information:

$ mkdir dir
$ touch dir/file1.txt
$ touch dir/file2.txt
$ mkdir dir/subdir
$ touch dir/subdir/file3.txt
$ touch dir/subdir/file4.txt
$ touch dir/subdir/file5.pdf
$ touch dir/file6.pdf

All the files will be empty; we will use them in this recipe only to discover them. Notice there are four files that have a .txt extension, and two that have a .pdf extension.

The files are also available in the GitHub repository here: https://github.com/PacktPublishing/Python-Automation-Cookbook-Second...

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