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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 with breakpoints

Python has a built-in debugger called pdb. Stopping the execution of the code at any point is possible by setting a breakpoint. A breakpoint will jump into command-line mode. From the command line, the current status can be analyzed. Given that Python is interpreted, any new code can be executed from this stage. This is very flexible and allows you to create flexible breakpoints and change the current state to analyze the behavior of the program.

Let's see how to do it.

Getting ready

Download the debug_algorithm.py script, available from GitHub: https://github.com/PacktPublishing/Python-Automation-Cookbook-Second-Edition/blob/master/Chapter13/debug_algorithm.py.

In the next section, we will analyze the execution of the code in detail. The code checks whether numbers fulfil certain criteria:

def valid(candidate):
    if candidate <= 1:
        return False
    lower = candidate - 1
    while lower > 1:
        if candidate...
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