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A dictionary is like a list, but more general. In a list, the indices have to be integers; in a dictionary they can be (almost) any type. You can think of a dictionary as a mapping between a set of indices and a set of values. Each index, which is called a key, corresponds to a value. The association of a key and a value is called a key-value pair or sometimes an item.
As an example, we will build a dictionary that maps from English words to Spanish words, so the keys and values are all strings. The squiggly-brackets, {}, represent an empty dictionary. To add items to the dictionary, you can use square brackets.
The key-value pairs are not in order, but that’s not a problem because the elements of a dictionary are never indexed with integer indices. Instead, you use the keys to look up the corresponding values:
If the key isn’t in the dictionary, you get an exception. The len function works on dictionaries; it returns the number of key-value pairs.
The in operator works on dictionaries; it tells you whether something appears as a key in the dictionary (appearing as a value is not good enough).
The in operator uses different algorithms for lists and dictionaries. For lists, it uses a search algorithm. As list gets longer, the search time gets longer in direct proportion. For dictionaries, Python uses an algorithm called hashtable that has a remarkable property: the in operator takes about the same amount of time no matter how many items there are in a dictionary.
from Thinking in Python
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原文地址：http://www.cnblogs.com/ryansunyu/p/3842300.html
