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The Python Workshop Second Edition

You're reading from   The Python Workshop Second Edition Write Python code to solve challenging real-world problems

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Product type Paperback
Published in Nov 2022
Publisher Packt
ISBN-13 9781804610619
Length 600 pages
Edition 2nd Edition
Languages
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Authors (5):
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Mario Corchero Jiménez Mario Corchero Jiménez
Author Profile Icon Mario Corchero Jiménez
Mario Corchero Jiménez
Andrew Bird Andrew Bird
Author Profile Icon Andrew Bird
Andrew Bird
Corey Wade Corey Wade
Author Profile Icon Corey Wade
Corey Wade
Graham Lee Graham Lee
Author Profile Icon Graham Lee
Graham Lee
Dr. Lau Cher Han Dr. Lau Cher Han
Author Profile Icon Dr. Lau Cher Han
Dr. Lau Cher Han
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Toc

Table of Contents (16) Chapters Close

Preface 1. Chapter 1: Python Fundamentals – Math, Strings, Conditionals, and Loops 2. Chapter 2: Python Data Structures FREE CHAPTER 3. Chapter 3: Executing Python – Programs, Algorithms, and Functions 4. Chapter 4: Extending Python, Files, Errors, and Graphs 5. Chapter 5: Constructing Python – Classes and Methods 6. Chapter 6: The Standard Library 7. Chapter 7: Becoming Pythonic 8. Chapter 8: Software Development 9. Chapter 9: Practical Python – Advanced Topics 10. Chapter 10: Data Analytics with pandas and NumPy 11. Chapter 11: Machine Learning 12. Chapter 12: Deep Learning with Python 13. Chapter 13: The Evolution of Python – Discovering New Python Features 14. Index 15. Other Books You May Enjoy

Preparing for debugging (defensive code)

In the programming world, a bug refers to defects or problems that prevent code or programs from running normally or as expected. Debugging is the process of finding and resolving those defects. Debugging methods include interactive debugging, unit testing, integration testing, and other types of monitoring and profiling practices.

Defensive programming is a form of debugging approach that ensures the continuing function of a piece of a program under unforeseen circumstances. Defensive programming is particularly useful when we require our programs to have high reliability. In general, we practice defensive programming to improve the quality of software and source code, and to write code that is both readable and understandable.

We can use exceptions to handle unexpected inputs or user actions that can potentially reduce the risk of crashing our programs and make our software behave predictably.

Writing assertions

The first thing...

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