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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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Toc

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

Generator expressions

Generator expressions are a cross between comprehensions and generator functions. They use a similar syntax as comprehensions, but they result in the creation of a generator object which produces the specified sequence lazily. The syntax for generator expressions is very similar to list comprehensions:

( expr(item) for item in iterable )

It is delimited by parentheses instead of the brackets used for list comprehensions.

Generator expressions are useful for situations where you want the lazy evaluation of generators with the declarative concision of comprehensions. For example, this generator expression yields a list of the first one-million square numbers:

>>> million_squares = (x*x for x in range(1, 1000001))

At this point, none of the squares have been created; we've just captured the specification of the sequence into a generator object...

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