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Learn Python Programming

You're reading from   Learn Python Programming A comprehensive, up-to-date, and definitive guide to learning Python

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Product type Paperback
Published in Nov 2024
Publisher Packt
ISBN-13 9781835882948
Length 620 pages
Edition 4th Edition
Languages
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Authors (2):
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Fabrizio Romano Fabrizio Romano
Author Profile Icon Fabrizio Romano
Fabrizio Romano
Heinrich Kruger Heinrich Kruger
Author Profile Icon Heinrich Kruger
Heinrich Kruger
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Table of Contents (21) Chapters Close

Preface
A Gentle Introduction to Python FREE CHAPTER Built-In Data Types Conditionals and Iteration Functions, the Building Blocks of Code Comprehensions and Generators OOP, Decorators, and Iterators Exceptions and Context Managers Files and Data Persistence Cryptography and Tokens Testing Debugging and Profiling Introduction to Type Hinting Data Science in Brief Introduction to API Development CLI Applications Packaging Python Applications Programming Challenges Unlock Your Exclusive Benefits
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Index

Debugging techniques

In this part, we will introduce you to some of the techniques we use most often. This is not an exhaustive list, but it should give you some useful ideas for where to start when debugging your own Python code.

Debugging with print

The key to understanding any bug is to understand what your code is doing at the point where the bug occurs. For this reason, we will be looking at a few different techniques for inspecting the state of a program while it is running.

The easiest technique of all is to add print() calls at various points in your code. This allows you to easily see which parts of your code are executed, and what the values of key variables are at different points during execution. For example, if you are developing a Django website and what happens on a page is not what you would expect, you can fill the view with prints and keep an eye on the console while you reload the page.

There are several drawbacks and limitations to using print...

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83
Tech Concepts
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Programming languages
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