Book Image

Learn Python Programming - Second Edition

By : Fabrizio Romano
4.5 (2)
Book Image

Learn Python Programming - Second Edition

4.5 (2)
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)

OOP, Decorators, and Iterators

La classe non è acqua. (Class will out)
– Italian saying

I could probably write a whole book about object-oriented programming (OOP) and classes. In this chapter, I'm facing the hard challenge of finding the balance between breadth and depth. There are simply too many things to tell, and plenty of them would take more than this whole chapter if I described them in depth. Therefore, I will try to give you what I think is a good panoramic view of the fundamentals, plus a few things that may come in handy in the next chapters. Python's official documentation will help in filling the gaps.

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

  • Decorators
  • OOP with Python
  • Iterators