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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

Introduction

Writing code is not easy. Actually, it is very hard. Even the best programmer in the world can't foresee every possible alternative and flow of the code.

This means that executing our code will always produce surprises and unexpected behaviors. Some will be very evident, while others will be very subtle, but the ability to identify and remove these defects in the code is critical to building solid software.

These defects in software are known as bugs, and therefore removing them is called debugging.

Inspecting the code just by reading it and reasoning about its execution image will never be enough to cover all the possible outcomes on non-trivial code. There are always surprises, and complex code is difficult to follow. That's why the ability to debug by stopping execution and taking a look at the current state of things is important.

Everyone, and I mean EVERYONE, introduces bugs in the code, only to be surprised by them later. Some people...

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