
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.

Python also provides some built-in data types, in particular, "dict",
"list", "set" and "frozenset", and "tuple".  The "str" class is used
to hold Unicode strings, and the "bytes" class is used to hold binary
data.

The following modules are documented in this chapter:

* "datetime" --- Basic date and time types

  * Available Types

  * "timedelta" Objects

  * "date" Objects

  * "datetime" Objects

  * "time" Objects

  * "tzinfo" Objects

  * "timezone" Objects

  * "strftime()" and "strptime()" Behavior

* "calendar" --- General calendar-related functions

* "collections" --- Container datatypes

  * "ChainMap" objects

    * "ChainMap" Examples and Recipes

  * "Counter" objects

  * "deque" objects

    * "deque" Recipes

  * "defaultdict" objects

    * "defaultdict" Examples

  * "namedtuple()" Factory Function for Tuples with Named Fields

  * "OrderedDict" objects

    * "OrderedDict" Examples and Recipes

  * "UserDict" objects

  * "UserList" objects

  * "UserString" objects

* "collections.abc" --- Abstract Base Classes for Containers

  * Collections Abstract Base Classes

* "heapq" --- Heap queue algorithm

  * Basic Examples

  * Priority Queue Implementation Notes

  * Theory

* "bisect" --- Array bisection algorithm

  * Searching Sorted Lists

  * Other Examples

* "array" --- Efficient arrays of numeric values

* "weakref" --- Weak references

  * Weak Reference Objects

  * Example

* "types" --- Dynamic type creation and names for built-in types

  * Dynamic Type Creation

  * Standard Interpreter Types

* "copy" --- Shallow and deep copy operations

* "pprint" --- Data pretty printer

  * PrettyPrinter Objects

  * Example

* "reprlib" --- Alternate "repr()" implementation

  * Repr Objects

  * Subclassing Repr Objects
