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The Python Apprentice

You're reading from   The Python Apprentice Introduction to the Python Programming Language

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781788293181
Length 352 pages
Edition 1st Edition
Languages
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Authors (2):
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Austin Bingham Austin Bingham
Author Profile Icon Austin Bingham
Austin Bingham
Robert Smallshire Robert Smallshire
Author Profile Icon Robert Smallshire
Robert Smallshire
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Table of Contents (16) Chapters Close

Preface 1. Getting started FREE CHAPTER 2. Strings and Collections 3. Modularity 4. Built-in types and the object model 5. Exploring Built-in Collection types 6. Exceptions 7. Comprehensions, iterables, and generators 8. Defining new types with classes 9. Files and Resource Management 10. Unit testing with the Python standard library 11. Debugging with PDB 12. Afterword – Just the Beginning
13. Virtual Environments 14. Packaging and Distribution 15. Installing Third-Party Packages

Comprehensions

Comprehensions in Python are a concise syntax for describing lists, sets or dictionaries in a declarative or functional style. This short-hand is readable and expressive, meaning that comprehensions are very effective at communicating intent to human readers. Some comprehensions almost read like natural language, making them nicely self-documenting.

List comprehensions

As hinted at above, a list comprehension is a short-hand way of creating a list. It's an expression using a succinct syntax that describes how list elements are defined. Comprehensions are much easier to demonstrate than they are to explain, so let's bring up a Python REPL. First we'll create a list of words by splitting a string...

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