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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
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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

Dealing with encodings

Text files can be present in different encodings. In recent years, the situation has greatly improved, as there are a few encodings that are pretty standard, but there are still compatibility problems when working with different systems.

There's a difference between raw data in a file and a string object in Python. The string object has been transformed from whatever encoding the file contained into a native Unicode string. Once it is in this format, it may need to be stored in different encodings. By default, Python works with the encoding defined by the OS, which in modern operating systems is UTF-8. This is a highly compatible encoding, but you may need to save files in a different one, depending on your specific requirements.

Getting ready

We prepared two files in the GitHub repository that store the string 20£ in two different encodings: one in the usual UTF-8 and another in ISO 8859-1, a different common encoding...

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