zulu#

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A drop-in replacement for native datetimes that embraces UTC

Features#

  • All datetime objects converted and stored as UTC.

  • Parses ISO8601 formatted strings and POSIX timestamps by default.

  • Timezone representation applied only during string output formatting or when casting to native datetime object.

  • Drop-in replacement for native datetime objects.

  • Python 3.6+

Quickstart#

Install using pip:

pip3 install zulu
import zulu

zulu.now()
# <Zulu [2016-07-25T19:33:18.137493+00:00]>

dt = zulu.parse('2016-07-25T19:33:18.137493+00:00')
# <Zulu [2016-07-25T19:33:18.137493+00:00]>

dt = zulu.create(2016, 7, 25, 19, 33, 18, 137493)
# <Zulu [2016-07-25T19:33:18.137493+00:00]>

dt.isoformat()
# '2016-07-25T19:33:18.137493+00:00'

dt.timestamp()
# 1469475198.137493

dt.naive
# datetime.datetime(2016, 7, 25, 19, 33, 18, 137493)

dt.datetime
# datetime.datetime(2016, 7, 25, 19, 33, 18, 137493, tzinfo=<UTC>)

dt.format('%Y-%m-%d')
# 2016-07-25

dt.format('YYYY-MM-dd')
# 2016-07-25

dt.format("E, MMM d, ''YY")
# "Mon, Jul 25, '16"

dt.format("E, MMM d, ''YY", locale='de')
# "Mo., Juli 25, '16"

dt.format("E, MMM d, ''YY", locale='fr')
# "lun., juil. 25, '16"

dt.shift(hours=-5, minutes=10)
# <Zulu [2016-07-25T14:43:18.137493+00:00]>

dt.replace(hour=14, minute=43)
# <Zulu [2016-07-25T14:43:18.137493+00:00]>

dt.start_of('day')
# <Zulu [2016-07-25T00:00:00+00:00]>

dt.end_of('day')
# <Zulu [2016-07-25T23:59:59.999999+00:00]>

dt.span('hour')
# (<Zulu [2016-07-25T19:00:00+00:00]>, <Zulu [2016-07-25T19:59:59.999999+00:00]>)

dt.time_from(dt.end_of('day'))
# '4 hours ago'

dt.time_to(dt.end_of('day'))
# 'in 4 hours'

list(zulu.range('hour', dt, dt.shift(hours=4)))
# [Zulu [2016-07-25T19:33:18.137493+00:00]>,
#  Zulu [2016-07-25T20:33:18.137493+00:00]>,
#  Zulu [2016-07-25T21:33:18.137493+00:00]>,
#  Zulu [2016-07-25T22:33:18.137493+00:00]>]

list(zulu.span_range('minute', dt, dt.shift(minutes=4)))
# [(Zulu [2016-07-25T19:33:00+00:00]>, Zulu [2016-07-25T19:33:59.999999+00:00]>),
#  (Zulu [2016-07-25T19:34:00+00:00]>, Zulu [2016-07-25T19:34:59.999999+00:00]>),
#  (Zulu [2016-07-25T19:35:00+00:00]>, Zulu [2016-07-25T19:35:59.999999+00:00]>),
#  (Zulu [2016-07-25T19:36:00+00:00]>, Zulu [2016-07-25T19:36:59.999999+00:00]>)]

zulu.parse_delta('1w 3d 2h 32m')
# <Delta [10 days, 2:32:00]>

zulu.parse_delta('2:04:13:02.266')
# <Delta [2 days, 4:13:02.266000]>

zulu.parse_delta('2 days, 5 hours, 34 minutes, 56 seconds')
# <Delta [2 days, 5:34:56]>

Why Zulu?#

Why zulu instead of native datetimes:

  • Zulu has extended datetime features such as parse(), format(), shift(), and python-dateutil timezone support.

  • Parses ISO8601 and timestamps by default without any extra arguments.

  • Easier to reason about Zulu objects since they are only ever UTC datetimes.

  • Clear delineation between UTC and other time zones where timezone representation is only applicable for display or conversion to native datetime.

  • Supports more string parsing/formatting options using Unicode date patterns as well as strptime/strftime directives.

Why zulu instead of Arrow:

  • Zulu is a drop-in replacement for native datetimes (inherits from datetime.datetime). No need to convert using arrow.datetime when you need a datetime (zulu is always a datetime).

  • Stricter parsing to avoid silent errors. For example, one might expect arrow.get('02/08/1987', 'MM/DD/YY') to fail (input does not match format) but it gladly returns <Arrow [2019-02-08T00:00:00+00:00) whereas zulu.parse('02/08/1987', '%m/%d/%y') throws zulu.parser.ParseError: Value "02/08/1987" does not match any format in ['%m/%d/%y'].

  • Avoids timezone/DST shifting bugs by only dealing with UTC datetimes when applying timedeltas or performing other calculations.

  • Supports strptime/strftime as well as Unicode date patterns for string parsing/formatting.

Special Thanks#

Special thanks goes out to the authors/contributors of the following libraries that have made it possible for zulu to exist:

For the full documentation, please visit https://zulu.readthedocs.io.

Guide#

Project Info#

Indices and Tables#