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-0.0.10.tar.gz (19.2 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-0.0.10-py3-none-any.whl (18.9 kB view details)

Uploaded Python 3

File details

Details for the file dynamic_datetime-0.0.10.tar.gz.

File metadata

  • Download URL: dynamic_datetime-0.0.10.tar.gz
  • Upload date:
  • Size: 19.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.13.1

File hashes

Hashes for dynamic_datetime-0.0.10.tar.gz
Algorithm Hash digest
SHA256 642a48965e1737f0e1188110e4e32f25dc520151622528e0d10e81ce3b98614b
MD5 a746e155b5b20599c0d83bba56085b13
BLAKE2b-256 bce6e3e5513db3857bf7bee4fde5d80af891abde56ea8aaaab67f597cb7242d7

See more details on using hashes here.

File details

Details for the file dynamic_datetime-0.0.10-py3-none-any.whl.

File metadata

File hashes

Hashes for dynamic_datetime-0.0.10-py3-none-any.whl
Algorithm Hash digest
SHA256 b754e276f6379a031c4b3e89f580c6de1bbc1c91f418e3f06a27142378cfca02
MD5 65c6708d24e144c21a5b95d72506028a
BLAKE2b-256 be0efc1d441ce795ff559fbb316a70ed5de1144f7c32ebfd4476089006b884f1

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