5. Data Types

Python 2.5

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5. Data Types

The modules described in this chapter provide a variety of specialized data types such as dates and times, fixed-type arrays, heap queues, synchronized queues, and sets.

The following modules are documented in this chapter:

`datetime`		Basic date and time types.
`calendar`		Functions for working with calendars, including some emulation of the Unix cal program.
`collections`		High-performance datatypes
`heapq`		Heap queue algorithm (a.k.a. priority queue).
`bisect`		Array bisection algorithms for binary searching.
`array`		Efficient arrays of uniformly typed numeric values.
`sets`		Implementation of sets of unique elements.
`sched`		General purpose event scheduler.
`mutex`		Lock and queue for mutual exclusion.
`Queue`		A synchronized queue class.
`weakref`		Support for weak references and weak dictionaries.
`UserDict`		Class wrapper for dictionary objects.
`UserList`		Class wrapper for list objects.
`UserString`		Class wrapper for string objects.
`types`		Names for built-in types.
`new`		Interface to the creation of runtime implementation objects.
`copy`		Shallow and deep copy operations.
`pprint`		Data pretty printer.
`repr`		Alternate `repr()` implementation with size limits.

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