Skip to main content

Dynamic-DateTime

Installation

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

Usage

  • Usage examples (date used for most examples 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("57 days since July 7th 2026")    # 2026-09-02 00:00:00 UTC
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") + DynamicDT.parse_delta("9876543210 years, -1 attoseconds")    # 9876545234-12-08 06:17:13.1265439 UTC-1:30

# Advanced
import datetime
import pytz

repr(DynamicDT.parse_auto("1 year"))    # TimeDelta(1, 0, 0, 0, 0, 0, 0, None)
repr(DynamicDT.parse_auto("2030-01-01")) # DynamicDT(2030, 1, 1, 0, 0, 0, tzinfo=get_timezone('UTC'))
DynamicDT.parse_delta("1 year").total_seconds()    # 31556925
DynamicDT.parse_delta("9876543210 years, -1 attoseconds").to_string(precision=20)    # 43 galactic years 123 megaanna 541 millennia 210 years -1 day 23 hours 59 minutes 59.999999999999999999 seconds
DynamicDT.parse_delta("1234567 seconds").negate().to_short()    # -14d6h56m7s
DynamicDT.parse_delta("-14d6h56m7s +2mo")   # 2 months -15 days 17 hours 3 minutes 53 seconds
repr(DynamicDT.parse("4 years after"))    # DynamicDT(2028, 12, 8, 6, 48, 14, fraction=Fraction(4312121, 10000000), tzinfo=get_timezone('UTC'))
DynamicDT.parse("2025-06-14 + three months - 5h")    # 2025-09-13 19:00:00 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'))
DynamicDT.parse("1 yoctosecond from now").timestamp_string(100)    # 1736318072.652227100000000000000001
DynamicDT.parse("1 quectosecond until now").timestamp_string(100)    # 1736318184.458186399999999999999999999999

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-0.1.32.tar.gz (21.4 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-0.1.32-py3-none-any.whl (21.2 kB view details)

Uploaded Python 3

File details

Details for the file dynamic_datetime-0.1.32.tar.gz.

File metadata

  • Download URL: dynamic_datetime-0.1.32.tar.gz
  • Upload date:
  • Size: 21.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/7.0.0 CPython/3.14.6

File hashes

Hashes for dynamic_datetime-0.1.32.tar.gz
Algorithm Hash digest
SHA256 a2d0b03775a55fa9db8f553036fbac9929c6f498d2691f40e0fedcd2db6ba281
MD5 7825677a79b9a4420223ef26dfe67453
BLAKE2b-256 4e19cae5b92da63e4bb97bea8a7043450ab0f1484af5ffda82c7d25d929b2de3

See more details on using hashes here.

File details

Details for the file dynamic_datetime-0.1.32-py3-none-any.whl.

File metadata

File hashes

Hashes for dynamic_datetime-0.1.32-py3-none-any.whl
Algorithm Hash digest
SHA256 aed99fe3643cadd87a06d7bb5bacb5e6e237373bb532fcba9dafe748dfd2a15e
MD5 26a0fb4d0ea31dda9601da45d8faef51
BLAKE2b-256 41998e2c6a307ea97edba7ca335c8ea881d68d12d14deda94c7d89c3acbd0a68

See more details on using hashes here.

Release history Release notifications | RSS feed

0.1.33

2 files

This release

0.1.32 This release

2 files

0.1.31

2 files

0.1.30

2 files

0.1.29

2 files

0.1.28

2 files

0.1.27

2 files

0.1.26

2 files

0.1.25

2 files

0.1.24

2 files

0.1.23

2 files

0.1.22

2 files

0.1.21

2 files

0.1.20

2 files

0.1.19

2 files

0.1.18

2 files

0.1.17

2 files

0.1.16

2 files

0.1.15

2 files

0.1.14

2 files

0.1.13

2 files

0.1.12

2 files

0.1.11

2 files

0.1.10

2 files

0.1.9

2 files

0.1.8

2 files

0.1.7

2 files

0.1.6

2 files

0.1.5

2 files

0.1.4

2 files

0.1.3

2 files

0.1.2

2 files

0.1.1

2 files

0.1.0

2 files

0.0.11

2 files

0.0.10

2 files

0.0.9

2 files

0.0.8

2 files

0.0.7

2 files

0.0.6

2 files

0.0.5

2 files

0.0.4

2 files

0.0.3

2 files

0.0.2

2 files

0.0.1

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page