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Learning Python

You're reading from  Learning Python

Product type Book
Published in Dec 2015
Publisher Packt
ISBN-13 9781783551712
Pages 442 pages
Edition 1st Edition
Languages
Author (1):
Fabrizio Romano Fabrizio Romano
Profile icon Fabrizio Romano
Toc

Table of Contents (20) Chapters close

Learning Python
Credits
About the Author
Acknowledgements
About the Reviewers
www.PacktPub.com
Preface
1. Introduction and First Steps – Take a Deep Breath 2. Built-in Data Types 3. Iterating and Making Decisions 4. Functions, the Building Blocks of Code 5. Saving Time and Memory 6. Advanced Concepts – OOP, Decorators, and Iterators 7. Testing, Profiling, and Dealing with Exceptions 8. The Edges – GUIs and Scripts 9. Data Science 10. Web Development Done Right 11. Debugging and Troubleshooting 12. Summing Up – A Complete Example Index

Debugging techniques


In this part, I'll present you with the most common techniques, the ones I use most often, however, please don't consider this list to be exhaustive.

Debugging with print

This is probably the easiest technique of all. It's not very effective, it cannot be used everywhere and it requires access to both the source code and a terminal that will run it (and therefore show the results of the print function calls).

However, in many situations, this is still a quick and useful way to debug. For example, if you are developing a Django website and what happens in a page is not what would you expect, you can fill the view with prints and keep an eye on the console while you reload the page. I've probably done it a million times.

When you scatter calls to print in your code, you normally end up in a situation where you duplicate a lot of debugging code, either because you're printing a timestamp (like we did when we were measuring how fast list comprehensions and generators were),...

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