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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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A few useful tips

When writing functions, it's very useful to follow guidelines so that you write them well. I'll quickly point some of them out:

  • Functions should do one thing: Functions that do one thing are easy to describe in one short sentence. Functions that do multiple things can be split into smaller functions that do one thing. These smaller functions are usually easier to read and understand. Remember the data science example we saw a few pages ago.
  • Functions should be small: The smaller they are, the easier it is to test them and to write them so that they do one thing.
  • The fewer input parameters, the better: Functions that take a lot of arguments quickly become harder to manage (among other issues).
  • Functions should be consistent in their return values: Returning False or None is not the same thing, even if within a Boolean context they both evaluate to False...
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