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Learn Python Programming

Learn Python Programming

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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Functions, the Building Blocks of Code

"To create architecture is to put in order. Put what in order? Functions and objects."
– Le Corbusier

In the previous chapters, we have seen that everything is an object in Python, and functions are no exception. But, what exactly is a function? A function is a sequence of instructions that perform a task, bundled as a unit. This unit can then be imported and used wherever it's needed. There are many advantages to using functions in your code, as we'll see shortly.

In this chapter, we are going to cover the following:

  • Functions—what they are and why we should use them
  • Scopes and name resolution
  • Function signatures—input parameters and return values
  • Recursive and anonymous functions
  • Importing objects for code reuse

I believe the saying, a picture is worth one thousand words, is particularly true...

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