Book Image

The Python Workshop - Second Edition

By : Corey Wade, Mario Corchero Jiménez, Andrew Bird, Dr. Lau Cher Han, Graham Lee
4.7 (3)
Book Image

The Python Workshop - Second Edition

4.7 (3)
By: Corey Wade, Mario Corchero Jiménez, Andrew Bird, Dr. Lau Cher Han, Graham Lee

Overview of this book

Python is among the most popular programming languages in the world. It’s ideal for beginners because it’s easy to read and write, and for developers, because it’s widely available with a strong support community, extensive documentation, and phenomenal libraries – both built-in and user-contributed. This project-based course has been designed by a team of expert authors to get you up and running with Python. You’ll work though engaging projects that’ll enable you to leverage your newfound Python skills efficiently in technical jobs, personal projects, and job interviews. The book will help you gain an edge in data science, web development, and software development, preparing you to tackle real-world challenges in Python and pursue advanced topics on your own. Throughout the chapters, each component has been explicitly designed to engage and stimulate different parts of the brain so that you can retain and apply what you learn in the practical context with maximum impact. By completing the course from start to finish, you’ll walk away feeling capable of tackling any real-world Python development problem.
Table of Contents (16 chapters)
13
Chapter 13: The Evolution of Python – Discovering New Python Features

Set and dictionary comprehensions

List comprehensions are handy ways in which to concisely build sequences of values in Python. Other forms of comprehension are also available, which you can use to build other collection types. A set is an unordered collection: you can see what elements are in a set, but you cannot index into a set nor insert an object at a particular location in the set because the elements are not ordered. An element can only be present in a set once, whereas it could appear in a list multiple times.

Sets are frequently useful in situations where you want to quickly test whether an object is in a collection but do not need to track the order of the objects in the collection. For example, a web service might keep track of all of the active session tokens in a set so that when it receives a request, it can test whether the session token corresponds to an active session.

A dictionary is a collection of pairs of objects, where one object in the pair is called the...