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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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Python Library Reference

Previous: 4.11 fpformat Up: Python Library Reference Next: 5.1 datetime

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Release 2.5.2, documentation updated on 21th February, 2008.