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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 616 pages
Edition 4th Edition
Languages
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Authors (2):
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Heinrich Kruger Heinrich Kruger
Author Profile Icon Heinrich Kruger
Heinrich Kruger
Fabrizio Romano Fabrizio Romano
Author Profile Icon Fabrizio Romano
Fabrizio Romano
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Toc

Table of Contents (20) 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 Other Books You May Enjoy
Index

Summary

In this chapter, we talked about data science. Rather than attempting to explain anything about this broad subject, we delved into a project. We familiarized ourselves with the Jupyter Notebook, and with different libraries, such as pandas, Matplotlib, and NumPy.

Of course, having to compress all this information into one single chapter means we could only touch briefly on the subjects we presented. We hope the project we have worked through together has been comprehensive enough to give you an idea of the workflow to follow when working in this field.

The next chapter is dedicated to API development.

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