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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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Generators

Generators are very powerful tool that Python gifts us with. They are based on the concepts of iteration, as we said before, and they allow for coding patterns that combine elegance with efficiency.

Generators are of two types:

  • Generator functions: These are very similar to regular functions, but instead of returning results through return statements, they use yield, which allows them to suspend and resume their state between each call
  • Generator expressions: These are very similar to the list comprehensions we've seen in this chapter, but instead of returning a list they return an object that produces results one by one

Generator functions

Generator functions behave like regular functions in all respects...

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