08. 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 (which along with
frozenset, replaces the deprecated sets module), and
tuple. The str class can be used to handle binary data
and 8-bit text, and the unicode class to handle Unicode text.
The following modules are documented in this chapter:
- 1.
datetime— Basic date and time types - 2.
calendar— General calendar-related functions - 3.
collections— High-performance container datatypes - 4.
heapq— Heap queue algorithm - 5.
bisect— Array bisection algorithm - 6.
array— Efficient arrays of numeric values - 7.
sets— Unordered collections of unique elements - 8.
sched— Event scheduler - 9.
mutex— Mutual exclusion support - 10.
Queue— A synchronized queue class - 11.
weakref— Weak references - 12.
UserDict— Class wrapper for dictionary objects - 13.
UserList— Class wrapper for list objects - 14.
UserString— Class wrapper for string objects - 15.
types— Names for built-in types - 16.
new— Creation of runtime internal objects - 17.
copy— Shallow and deep copy operations - 18.
pprint— Data pretty printer - 19.
repr— Alternaterepr()implementation