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Learn Python Programming

Learn Python Programming

By : Fabrizio Romano
4.1 (28)
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Learn Python Programming

Learn Python Programming

4.1 (28)
By: Fabrizio 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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Concurrent Execution

"What do we want? Now! When do we want it? Fewer race conditions!"
– Anna Melzer

In this chapter, I'm going to up the game a little bit, both in terms of the concepts I'll present, and in the complexity of the code snippets I'll show you. If you don't feel up to the task, or as you are reading through you realize it is getting too difficult, feel free to skip it. You can always come back to it when you feel ready.

The plan is to take a detour from the familiar single-threaded execution paradigm, and deep dive into what can be described as concurrent execution. I will only be able to scratch the surface of this complex topic, so I won't expect you to be a master of concurrency by the time you're done reading, but I will, as usual, try to give you enough information so that you can then proceed by walking the path...

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