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Documentation for set objects.
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@ -2053,6 +2053,43 @@ always creates a tuple, and unpacking works for any sequence.
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% XXX Add a bit on the difference between tuples and lists.
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\section{Sets \label{sets}}
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Python also includes a data type for \emph{sets}. A set is an unordered
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collection with no duplicate elements. Basic uses include membership
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testing and eliminating duplicate entries. Set objects also support
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mathematical operations like union, intersection, difference, and
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symmetric difference.
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Here is a brief demonstration:
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\begin{verbatim}
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>>> basket = ['apple', 'orange', 'apple', 'pear', 'orange', 'banana']
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>>> fruits = set(basket) # create a set without duplicates
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>>> fruits
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set(['orange', 'pear', 'apple', 'banana'])
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>>> 'orange' in fruits # fast membership testing
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True
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>>> 'crabgrass' in fruits
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False
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>>> # Demonstrate set operations on unique letters from two words
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...
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>>> a = set('abracadabra')
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>>> b = set('alacazam')
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>>> a # unique letters in a
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set(['a', 'r', 'b', 'c', 'd'])
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>>> a - b # letters in a but not in b
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set(['r', 'd', 'b'])
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>>> a | b # letters in either a or b
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set(['a', 'c', 'r', 'd', 'b', 'm', 'z', 'l'])
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>>> a & b # letters in both a and b
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set(['a', 'c'])
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>>> a ^ b # letters in a or b but not both
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set(['r', 'd', 'b', 'm', 'z', 'l'])
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\end{verbatim}
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\section{Dictionaries \label{dictionaries}}
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Another useful data type built into Python is the
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