>>> from datetime import datetime, date, time, timezone >>> # Using datetime.combine() >>> d = date (2005, 7, 14) >>> t = time (12, 30) >>> datetime. combine (d, t) datetime.datetime(2005, 7, 14, 12, 30) >>> # Using datetime.now() >>> datetime. now datetime.datetime(2007, 12, 6, 16, 29, 43, 79043) # GMT +1 >>> datetime. now (timezone. utc ...

3 days ago · Built-in Functions¶ The Python interpreter has a number of functions and types built into it that are always available. They are listed here in alphabetical order.

This module provides various time-related functions. For related functionality, see also the datetime and calendar modules. Although this module is always available, not all functions are available...

2 days ago · Various date and time objects are supplied by the datetime module. Before using any of these functions, the header file datetime.h must be included in your source (note that this is not included by Python.h), and the macro PyDateTime_IMPORT must be invoked, usually as …

2 days ago · Return an iterator for the month month in the year year similar to itermonthdates(), but not restricted by the datetime.date range. Days returned will be tuples consisting of a year, a month, a day of the month, and a day of the week numbers.

2 days ago · The modules described in this chapter provide a variety of specialized data types such as dates and times, fixed-type arrays, heap queues, double-ended queues, and enumerations. Python also provide...

2 days ago · datetime: datetime.datetime ’s utcnow() and utcfromtimestamp() are deprecated and will be removed in a future version. Instead, use timezone-aware objects to represent datetimes in UTC: respectively, call now() and fromtimestamp() with the tz parameter set to datetime.UTC .

Added new alternate constructors datetime.date.fromisocalendar() and datetime.datetime.fromisocalendar(), which construct date and datetime objects respectively from ISO year, week number, and weekday; these are the inverse of each class’s isocalendar method.

Functional programming wants to avoid state changes as much as possible and works with data flowing between functions. In Python you might combine the two approaches by writing functions that take and return instances representing objects in your application (e-mail messages, transactions, etc.).

This article explains the new features in Python 3.0, compared to 2.6. Python 3.0, also known as “Python 3000” or “Py3K”, is the first ever intentionally backwards incompatible Python release. Python 3.0 was released on December 3, 2008.