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

Using list comprehensions

List comprehensions are a flexible, expressive way of writing Python expressions to create sequences of values. They make iterating over the input and building the resulting list implicit so that program authors and readers can focus on the important features of what the list represents. It is this concision that makes list comprehensions a Pythonic way of working with lists or sequences.

List comprehensions are built out of bits of Python syntax we have already seen. They are surrounded by square brackets ([]), which signify Python symbols for a literal list. They contain for elements in a list, which is how Python iterates over members of a collection. Optionally, they can filter elements out of a list using the familiar syntax of the if expression.

Exercise 100 – introducing list comprehensions

In this exercise, you will be writing a program that creates a list of cubes of whole numbers from 1 to 5. This example is trivial because we’...