Skip to main content

A versatile datetime class supporting extremely large timescales and extremely precise measurements.

Project description

Dynamic-DateTime

Installation

py -m pip install dynamic-datetime - Windows
python3 -m pip install dynamic-datetime - Linux

Usage

  • Usage examples (date of testing is 2024/12/08)
from dynamic_dt import DynamicDT, TimeDelta, get_timezone

# Parsing
DynamicDT.parse("now")    # 2024-12-08 06:13:27.7125025 UTC
DynamicDT.parse("now in MDT")    # 2024-12-08 00:14:02.9757217 MDT
DynamicDT.parse("now in London")    # 2024-12-08 06:14:37.6658725 Europe/London
DynamicDT.parse("3 october 2016 in edt")    # 2016-10-03 00:00:00 EDT
DynamicDT.parse("1961/01/29")    # 1961-01-29 00:00:00 UTC
DynamicDT.parse("-123456789/05/11")    # 123456789-05-11 00:00:00 BCE UTC
DynamicDT.parse("next thursday acdt")    # 2024-12-12 00:00:00 ACDT
DynamicDT.parse("2 hours before last december 22nd, utc-12")    # 2023-12-21 22:00:00 UTC-12
DynamicDT.parse("one minute before two hours after sixty two years before three hundred and twelve thousand and seventy one nanoseconds before a million years after tomorrow")    # 1001962-12-09 01:58:59.999687929 UTC
DynamicDT.parse("300-06-09 bce 6pm aqtt")    # 0300-06-09 18:00:00 BCE AQTT

# Arithmetic
DynamicDT.parse("now+1h") - DynamicDT.parse("now")    # 59 minutes 59.9999153 seconds
DynamicDT.parse("now+1h", timestamp=1733639741) - DynamicDT.parse("now", timestamp=1733639741)    # 1 hour
DynamicDT.parse("now+1h utc-1.5") + TimeDelta(years=9876543210, attoseconds=-1)    # 9876545234-12-08 06:17:13.1265439 UTC-1:30

# Advanced
import datetime
import pytz

repr(DynamicDT.parse_delta("1 year"))    # TimeDelta(1, 0, 0, 0, 0, 0, 0, None)
DynamicDT.parse_delta("1 year").total_seconds()    # 31556925
repr(DynamicDT.parse("4 years after"))    # DynamicDT(2028, 12, 8, 6, 48, 14, fraction=Fraction(4312121, 10000000), tzinfo=get_timezone('UTC'))
DynamicDT.parse("4 years after").as_iso()    # 2028-12-08T06:48:43.8579817Z
DynamicDT.parse("4 years after").as_full()    # Thursday 8 December 2028 at 06:49
DynamicDT.parse("4 years after").as_discord()    # <t:1859870945:F>
DynamicDT.parse("4 years after").as_rel_discord()    # <t:1859871001:R>
DynamicDT.parse("4 years after").timestamp()    # 1859871105.7713845
DynamicDT.parse("4 years after").timestamp_exact()    # Fraction(18598711279456937, 10000000)
DynamicDT.parse("4 years after").replace(year=300000, minute=3, tzinfo=get_timezone("utc+6"))    # 300000-12-08 06:03:53.9029728 UTC+6
DynamicDT.parse("4 years after").cast(tz=get_timezone("utc+6"))    # 2028-12-08 12:55:54.789339 UTC+6
repr(DynamicDT.now())    # DynamicDT(2024, 12, 8, 17, 56, 31, fraction=Fraction(6281317, 10000000))
repr(DynamicDT.now(tz=datetime.timezone.utc))    # DynamicDT(2024, 12, 8, 6, 56, 55, fraction=Fraction(1347719, 2000000), tzinfo=get_timezone('UTC'))
DynamicDT(1234, 5, 6, 7, tzinfo=pytz.timezone("US/Mountain"))    # DynamicDT(1234, 5, 6, 7, 0, 0, tzinfo=get_timezone('US/Mountain'))
DynamicDT.unix()    # Fraction(17336412228141707, 10000000)
repr(DynamicDT.fromtimestamp(-100000000000, tz=get_timezone("pacific")))   # DynamicDT(-1199, 2, 15, 6, 13, 20, tzinfo=get_timezone('US/Pacific'))

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dynamic_datetime-0.0.4.tar.gz (18.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

dynamic_datetime-0.0.4-py3-none-any.whl (17.9 kB view details)

Uploaded Python 3

File details

Details for the file dynamic_datetime-0.0.4.tar.gz.

File metadata

  • Download URL: dynamic_datetime-0.0.4.tar.gz
  • Upload date:
  • Size: 18.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.13.1

File hashes

Hashes for dynamic_datetime-0.0.4.tar.gz
Algorithm Hash digest
SHA256 bc612abb800cab178fcd283b04442749f31ef29c409311118484c670c50f266b
MD5 be9a33665249f948cc29f153bd603732
BLAKE2b-256 677528a0eda05a58c85d21ea017769c0d6382eab30c4f12913067649970ebd51

See more details on using hashes here.

File details

Details for the file dynamic_datetime-0.0.4-py3-none-any.whl.

File metadata

File hashes

Hashes for dynamic_datetime-0.0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 48007fcab576cd9218950d6b4a49273454508b0967fec69f29a21b3835c4b813
MD5 3842e726be33b63e616d1df1556ceaa9
BLAKE2b-256 a251ff0143f0e981776862e1b63a8e0c1adba55d91389b066d249d739d38a6e6

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page