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Learn Python Programming

Learn Python Programming

By : Fabrizio Romano, Fabrizio Romano, Heinrich Kruger, Heinrich Kruger
5 (1)
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Learn Python Programming

Learn Python Programming

5 (1)
By: Fabrizio Romano, Fabrizio Romano, Heinrich Kruger, Heinrich Kruger

Overview of this book

Learn Python Programming, Fourth Edition, provides a comprehensive, up-to-date introduction to Python programming, covering fundamental concepts and practical applications. This edition has been meticulously updated to include the latest features from Python versions 3.9 to 3.12, new chapters on type hinting and CLI applications, and updated examples reflecting modern Python web development practices. This Python book empowers you to take ownership of writing your software and become independent in fetching the resources you need. By the end of this book, you will have a clear idea of where to go and how to build on what you have learned from the book. Through examples, the book explores a wide range of applications and concludes by building real-world Python projects based on the concepts you have learned. This Python book offers a clear and practical guide to mastering Python and applying it effectively in various domains, such as data science, web development, and automation.
Table of Contents (20 chapters)
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18
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19
Index

Summary

In this chapter, we started exploring the world of programming and that of Python. We have barely scratched the surface, only touching upon concepts that will be discussed later on in the book in greater detail.

We talked about Python’s main features, who is using it and for what, and the different ways in which we can write a Python program.

In the last part of the chapter, we flew over the fundamental notions of namespaces, and scopes. We also saw how Python code can be organized using modules and packages.

At a practical level, we learned how to install Python on our system and how to make sure we have the tools we need, such as pip; we also created and activated our first virtual environment. This will allow us to work in a self-contained environment without the risk of compromising the Python system installation.

Now you are ready to start this journey with us. All you need is enthusiasm, an activated virtual environment, this book, your fingers, and probably some coffee.

Try to follow the examples; we will keep them simple and short. If you put them to use, you will retain them much better than if you just read them.

In the next chapter, we will explore Python’s rich set of built-in data types. There is much to cover, and much to learn!

Join our community on Discord

Join our community’s Discord space for discussions with the authors and other readers:

https://discord.com/invite/uaKmaz7FEC

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