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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

Debugging through logging

Debugging is, after all, detecting what's going on inside our program and finding out what unexpected or incorrect effects may be happening. A simple, yet very effective, approach is to output variables and other information at strategic parts of your code to allow the programmer to follow the flow of the program.

The simplest form of this approach is called print debugging. This technique consists of inserting print statements at certain points to print the value of variables or points while debugging.

But taking this technique a little further and combining it with the logging techniques presented in Chapter 2, Automating Tasks Made Easy, allows us to create a trace of the execution of the program. This tracing information can be really useful when detecting issues in a running program. Logs are also typically displayed when running tests using a test framework.

pytest, introduced in Chapter 12, Automatic Testing Routines, automatically...

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