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The Python Workshop

You're reading from   The Python Workshop Learn to code in Python and kickstart your career in software development or data science

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Product type Paperback
Published in Nov 2019
Publisher Packt
ISBN-13 9781839218859
Length 608 pages
Edition 1st Edition
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Authors (6):
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Andrew Bird Andrew Bird
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Andrew Bird
Graham Lee Graham Lee
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Graham Lee
Corey Wade Corey Wade
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Corey Wade
Dr. Lau Cher Han Dr. Lau Cher Han
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Dr. Lau Cher Han
Olivier Pons Olivier Pons
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Olivier Pons
Mario Corchero Jiménez Mario Corchero Jiménez
Author Profile Icon Mario Corchero Jiménez
Mario Corchero Jiménez
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Table of Contents (13) Chapters Close

Preface 1. Vital Python – Math, Strings, Conditionals, and Loops 2. Python Structures FREE CHAPTER 3. Executing Python – Programs, Algorithms, and Functions 4. Extending Python, Files, Errors, and Graphs 5. Constructing Python – Classes and Methods 6. The Standard Library 7. Becoming Pythonic 8. Software Development 9. Practical Python – Advanced Topics 10. Data Analytics with pandas and NumPy 11. Machine Learning Appendix

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 99: Introducing List Comprehensions

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

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