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Python Essentials

You're reading from   Python Essentials Modernize existing Python code and plan code migrations to Python using this definitive guide

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Product type Paperback
Published in Jun 2015
Publisher Packt
ISBN-13 9781784390341
Length 298 pages
Edition 1st Edition
Languages
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Author (1):
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Steven F. Lott Steven F. Lott
Author Profile Icon Steven F. Lott
Steven F. Lott
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Toc

Table of Contents (17) Chapters Close

Preface 1. Getting Started FREE CHAPTER 2. Simple Data Types 3. Expressions and Output 4. Variables, Assignment and Scoping Rules 5. Logic, Comparisons, and Conditions 6. More Complex Data Types 7. Basic Function Definitions 8. More Advanced Functions 9. Exceptions 10. Files, Databases, Networks, and Contexts 11. Class Definitions 12. Scripts, Modules, Packages, Libraries, and Applications 13. Metaprogramming and Decorators 14. Fit and Finish – Unit Testing, Packaging, and Documentation 15. Next Steps Index

Multiple assignment

We looked at tuples in Chapter 2, Simple Data Types. One of the important reasons for using a tuple is that it has a fixed number of items. Since a tuple is a kind of sequence, we can refer to items within a tuple using numeric indices.

Consider the following RGB triple:

>>> brick_red = (203, 65, 84)

We can use brick_red[0] to get the red element of this triple.

We can also do this:

>>> r, g, b = brick_red
>>> r
203

We've used multiple assignment to decompose the RGB three-tuple into three individual variables.

This works when the number of variables on the left side of the = matches the number of items in the collection on the right side. When working with fixed-sized tuples, this is an easy condition to guarantee.

When working with mutable collections such as list, set, or dict, this kind of assignment may not work out well. If we can't guarantee the number of elements in a mutable collection, we may wind up with a ValueError exception...

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