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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
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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

Learning Python interpreter basics

In this recipe, we'll cover some of Python's built-in capabilities to examine code, investigate what's going on, and detect when things are not behaving properly.

We can also verify when things are working as expected. Remember that being able to rule out part of the code as the source of a bug is incredibly important.

While debugging, we typically need to analyze unknown elements and objects that come from an external module or service. Code in Python is highly discoverable at any point in its execution. This ability to examine the types and properties of the code while it is being executed is called introspection.

Everything in this recipe is included by default in Python's interpreter.

How to do it...

  1. Import pprint:
    >>> from pprint import pprint
    
  2. Create a new dictionary called dictionary:
    >>> dictionary = {'example': 1}
    
    ...
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