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Learn Python Programming

Learn Python Programming - Second Edition

By : Romano
4.1 (28)
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Learn Python Programming

Learn Python Programming

4.1 (28)
By: Romano

Overview of this book

Learn Python Programming is a quick, thorough, and practical introduction to Python - an extremely flexible and powerful programming language that can be applied to many disciplines. Unlike other books, it doesn't bore you with elaborate explanations of the basics but gets you up-and-running, using the language. You will begin by learning the fundamentals of Python so that you have a rock-solid foundation to build upon. You will explore the foundations of Python programming and learn how Python can be manipulated to achieve results. Explore different programming paradigms and find the best approach to a situation; understand how to carry out performance optimization and effective debugging; control the flow of a program; and utilize an interchange format to exchange data. You'll also walk through cryptographic services in Python and understand secure tokens. Learn Python Programming will give you a thorough understanding of the Python language. You'll learn how to write programs, build websites, and work with data by harnessing Python's renowned data science libraries. Filled with real-world examples and projects, the book covers various types of applications, and concludes by building real-world projects based on the concepts you have learned.
Table of Contents (16 chapters)
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Summary

In this chapter, we looked at decorators, discovered the reasons for having them, and covered a few examples using one or more at the same time. We also saw decorators that take arguments, which are usually used as decorator factories.

We scratched the surface of object-oriented programming in Python. We covered all the basics, so you should now be able to understand the code that will come in future chapters. We talked about all kinds of methods and attributes that one can write in a class, we explored inheritance versus composition, method overriding, properties, operator overloading, and polymorphism.

At the end, we very briefly touched base on iterators, so now you understand generators more deeply.

In the next chapter, we're going to see how to deal with files and how to persist data in several different ways and formats.

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Learn Python Programming
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