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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 an email

In this recipe, we'll see how to read emails from an account. We'll use the IMAP4 standard, which is the most commonly used standard for reading emails.

Once read, the email can be processed and analyzed automatically to generate actions such as smart automated responses, forwarding the email to a different target, aggregating the results for monitoring, and so on. The options are unlimited!

Getting ready

For this recipe, we'll need an email account with a service provider. There are small differences based on the provider you use, but we'll use a Gmail account, as it is very common and free to access.

Due to Gmail's security, we'll need to create a specific app password to use to send an email. Follow the instructions here: https://support.google.com/accounts/answer/185833. This will generate a password for the purpose of this recipe. Remember to create it for mail. You can delete the password afterward to remove it.

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