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)

Writing a custom iterator

Now we have all the tools to appreciate how we can write our own custom iterator. Let's first define an iterable and an iterator:

  • Iterable: An object is said to be iterable if it's capable of returning its members one at a time. Lists, tuples, strings, and dictionaries are all iterables. Custom objects that define either of the __iter__ or __getitem__ methods are also iterables.
  • Iterator: An object is said to be an iterator if it represents a stream of data. A custom iterator is required to provide an implementation for __iter__ that returns the object itself, and an implementation for __next__ that returns the next item of the data stream until the stream is exhausted, at which point all successive calls to __next__ simply raise the StopIteration exception. Built-in functions, such as iter and next, are mapped to call __iter__ and __next__...