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The Python Workshop

You're reading from   The Python Workshop Learn to code in Python and kickstart your career in software development or data science

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Product type Paperback
Published in Nov 2019
Publisher Packt
ISBN-13 9781839218859
Length 608 pages
Edition 1st Edition
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Authors (6):
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Andrew Bird Andrew Bird
Author Profile Icon Andrew Bird
Andrew Bird
Graham Lee Graham Lee
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Graham Lee
Corey Wade Corey Wade
Author Profile Icon Corey Wade
Corey Wade
Dr. Lau Cher Han Dr. Lau Cher Han
Author Profile Icon Dr. Lau Cher Han
Dr. Lau Cher Han
Olivier Pons Olivier Pons
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Olivier Pons
Mario Corchero Jiménez Mario Corchero Jiménez
Author Profile Icon Mario Corchero Jiménez
Mario Corchero Jiménez
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Table of Contents (13) Chapters Close

Preface 1. Vital Python – Math, Strings, Conditionals, and Loops 2. Python Structures FREE CHAPTER 3. Executing Python – Programs, Algorithms, and Functions 4. Extending Python, Files, Errors, and Graphs 5. Constructing Python – Classes and Methods 6. The Standard Library 7. Becoming Pythonic 8. Software Development 9. Practical Python – Advanced Topics 10. Data Analytics with pandas and NumPy 11. Machine Learning Appendix

Summary

You have looked at multiple modules in the standard library and how they help you write well-tested and easier-to-read code. However, there are still many more modules to explore and understand in order to use them effectively, though. We have learned that Python comes with batteries included, through its vast standard library, and that, in many situations, the utilities it provides are extended through an advanced API. By having the mindset of checking how things can be solved with the standard library before trying to write our own code, you can become better Python programmers.

Now that you have some knowledge of the standard library, you will start to look more deeply into how to make our code easier to read for Python programmers, usually known as Pythonic code. While using the standard library as much as possible is a good start, there are some other tips and tricks that we will look at in Chapter 7, Becoming Pythonic.

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