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Beautiful Code
book

Beautiful Code

by Andy Oram, Greg Wilson
June 2007
Intermediate to advanced
618 pages
18h 15m
English
O'Reilly Media, Inc.
Content preview from Beautiful Code

Chapter 18. Python’s Dictionary Implementation: Being All Things to All People

Andrew Kuchling

Dictionaries are a fundamental data type in the python programming language. Like awk’s associative arrays and Perl’s hashes, dictionaries store a mapping of unique keys to values. Basic operations on a dictionary include:

  • Adding a new key/value pair

  • Retrieving the value corresponding to a particular key

  • Removing existing pairs

  • Looping over the keys, values, or key/value pairs

Here’s a brief example of using a dictionary at the Python interpreter prompt. (To try out this example, you can just run the python command on Mac OS and most Linux distributions. If Python isn’t already installed, you can download it from http://www.python.org.)

In the following interactive session, the >>> signs represent the Python interpreter’s prompts, and d is the name of the dictionary I’m playing with:

	>>>d = {1: 'January', 2: 'February',
	... 'jan': 1, 'feb': 2, 'mar': 3}
	{'jan': 1, 1: 'January', 2: 'February', 'mar': 3, 'feb': 2}
	>>> d['jan'], d[1]
	(1, 'January')
	>>> d[12]
	Traceback (most recent call last):
	  File "<stdin>", line 1, in <module>
	KeyError: 12
	>>> del d[2]
	>>> for k, v in d.items(): print k,v # Looping over all pairs.
	jan 1
	1 January
	mar 3
	>feb 2
	...

Two things to note about Python’s dictionary type are:

  • A single dictionary can contain keys and values of several different data types. It’s legal to store the keys 1, 3+4j (a complex number), and "abc" (a string) in the same dictionary. Values retain ...

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Publisher Resources

ISBN: 9780596510046Errata Page