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Learning Python

You're reading from   Learning Python Learn to code like a professional with Python - an open source, versatile, and powerful programming language

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

Table of Contents (14) Chapters Close

Preface 1. Introduction and First Steps – Take a Deep Breath FREE CHAPTER 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...

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