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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

Reading text files

After searching for a particular file, the next typical action is to open it and read its content. Text files are very simple yet very powerful files. They store data in plain text, without complicated binary formats.

Text file support is provided natively in Python, and it's easy to consider it a collection of lines that can be represented as Python strings.

Getting ready

We'll read the zen_of_python.txt file, containing The Zen of Python by Tim Peters, which is a collection of aphorisms that very well describe the design principles behind Python.

It is available in the GitHub repository here: https://github.com/PacktPublishing/Python-Automation-Cookbook-Second-Edition/blob/master/Chapter04/documents/zen_of_python.txt:

Beautiful is better than ugly.
Explicit is better than implicit.
Simple is better than complex.
Complex is better than complicated.
Flat is better than nested.
Sparse is better than dense.
Readability counts.
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