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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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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

Capturing errors and problems

An automated task's main characteristic is its fire-and-forget quality. We are not actively looking at the result, but making it run in the background.

Most of the recipes in this book deal with external information, such as web pages or other reports, so the likelihood of finding an unexpected problem when running it is high. This recipe will present an automated task that will safely store unexpected behaviors in a log file that can be checked afterward.

Getting ready

As a starting point, we'll use a task that will divide two numbers, as described in the command line.

This task is very similar to the one presented in step 5 of How it works for the Preparing a task recipe, earlier this chapter. However, instead of multiplying two numbers, we'll divide them.

How to do it...

  1. Create the task_with_error_handling_step1.py file, as follows:
    import argparse
    import sys
    def main(number, other_number...
You have been reading a chapter from
Python Automation Cookbook - Second Edition
Published in: May 2020
Publisher: Packt
ISBN-13: 9781800207080
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