Skip to main content

World timezone definitions, modern and historical

Project description

pytz - World Timezone Definitions for Python
============================================

:Author: Stuart Bishop <stuart@stuartbishop.net>

Introduction
~~~~~~~~~~~~

pytz brings the Olson tz database into Python. This library allows
accurate and cross platform timezone calculations using Python 2.4
or higher. It also solves the issue of ambiguous times at the end
of daylight saving time, which you can read more about in the Python
Library Reference (``datetime.tzinfo``).

Almost all of the Olson timezones are supported.

.. note::

This library differs from the documented Python API for
tzinfo implementations; if you want to create local wallclock
times you need to use the ``localize()`` method documented in this
document. In addition, if you perform date arithmetic on local
times that cross DST boundaries, the result may be in an incorrect
timezone (ie. subtract 1 minute from 2002-10-27 1:00 EST and you get
2002-10-27 0:59 EST instead of the correct 2002-10-27 1:59 EDT). A
``normalize()`` method is provided to correct this. Unfortunately these
issues cannot be resolved without modifying the Python datetime
implementation (see PEP-431).


Installation
~~~~~~~~~~~~

This package can either be installed from a .egg file using setuptools,
or from the tarball using the standard Python distutils.

If you are installing from a tarball, run the following command as an
administrative user::

python setup.py install

If you are installing using setuptools, you don't even need to download
anything as the latest version will be downloaded for you
from the Python package index::

easy_install --upgrade pytz

If you already have the .egg file, you can use that too::

easy_install pytz-2008g-py2.6.egg


Example & Usage
~~~~~~~~~~~~~~~

Localized times and date arithmetic
-----------------------------------

>>> from datetime import datetime, timedelta
>>> from pytz import timezone
>>> import pytz
>>> utc = pytz.utc
>>> utc.zone
'UTC'
>>> eastern = timezone('US/Eastern')
>>> eastern.zone
'US/Eastern'
>>> amsterdam = timezone('Europe/Amsterdam')
>>> fmt = '%Y-%m-%d %H:%M:%S %Z%z'

This library only supports two ways of building a localized time. The
first is to use the ``localize()`` method provided by the pytz library.
This is used to localize a naive datetime (datetime with no timezone
information):

>>> loc_dt = eastern.localize(datetime(2002, 10, 27, 6, 0, 0))
>>> print(loc_dt.strftime(fmt))
2002-10-27 06:00:00 EST-0500

The second way of building a localized time is by converting an existing
localized time using the standard ``astimezone()`` method:

>>> ams_dt = loc_dt.astimezone(amsterdam)
>>> ams_dt.strftime(fmt)
'2002-10-27 12:00:00 CET+0100'

Unfortunately using the tzinfo argument of the standard datetime
constructors ''does not work'' with pytz for many timezones.

>>> datetime(2002, 10, 27, 12, 0, 0, tzinfo=amsterdam).strftime(fmt)
'2002-10-27 12:00:00 LMT+0020'

It is safe for timezones without daylight saving transitions though, such
as UTC:

>>> datetime(2002, 10, 27, 12, 0, 0, tzinfo=pytz.utc).strftime(fmt)
'2002-10-27 12:00:00 UTC+0000'

The preferred way of dealing with times is to always work in UTC,
converting to localtime only when generating output to be read
by humans.

>>> utc_dt = datetime(2002, 10, 27, 6, 0, 0, tzinfo=utc)
>>> loc_dt = utc_dt.astimezone(eastern)
>>> loc_dt.strftime(fmt)
'2002-10-27 01:00:00 EST-0500'

This library also allows you to do date arithmetic using local
times, although it is more complicated than working in UTC as you
need to use the ``normalize()`` method to handle daylight saving time
and other timezone transitions. In this example, ``loc_dt`` is set
to the instant when daylight saving time ends in the US/Eastern
timezone.

>>> before = loc_dt - timedelta(minutes=10)
>>> before.strftime(fmt)
'2002-10-27 00:50:00 EST-0500'
>>> eastern.normalize(before).strftime(fmt)
'2002-10-27 01:50:00 EDT-0400'
>>> after = eastern.normalize(before + timedelta(minutes=20))
>>> after.strftime(fmt)
'2002-10-27 01:10:00 EST-0500'

Creating local times is also tricky, and the reason why working with
local times is not recommended. Unfortunately, you cannot just pass
a ``tzinfo`` argument when constructing a datetime (see the next
section for more details)

>>> dt = datetime(2002, 10, 27, 1, 30, 0)
>>> dt1 = eastern.localize(dt, is_dst=True)
>>> dt1.strftime(fmt)
'2002-10-27 01:30:00 EDT-0400'
>>> dt2 = eastern.localize(dt, is_dst=False)
>>> dt2.strftime(fmt)
'2002-10-27 01:30:00 EST-0500'

Converting between timezones also needs special attention. We also need
to use the ``normalize()`` method to ensure the conversion is correct.

>>> utc_dt = utc.localize(datetime.utcfromtimestamp(1143408899))
>>> utc_dt.strftime(fmt)
'2006-03-26 21:34:59 UTC+0000'
>>> au_tz = timezone('Australia/Sydney')
>>> au_dt = au_tz.normalize(utc_dt.astimezone(au_tz))
>>> au_dt.strftime(fmt)
'2006-03-27 08:34:59 AEDT+1100'
>>> utc_dt2 = utc.normalize(au_dt.astimezone(utc))
>>> utc_dt2.strftime(fmt)
'2006-03-26 21:34:59 UTC+0000'

You can take shortcuts when dealing with the UTC side of timezone
conversions. ``normalize()`` and ``localize()`` are not really
necessary when there are no daylight saving time transitions to
deal with.

>>> utc_dt = datetime.utcfromtimestamp(1143408899).replace(tzinfo=utc)
>>> utc_dt.strftime(fmt)
'2006-03-26 21:34:59 UTC+0000'
>>> au_tz = timezone('Australia/Sydney')
>>> au_dt = au_tz.normalize(utc_dt.astimezone(au_tz))
>>> au_dt.strftime(fmt)
'2006-03-27 08:34:59 AEDT+1100'
>>> utc_dt2 = au_dt.astimezone(utc)
>>> utc_dt2.strftime(fmt)
'2006-03-26 21:34:59 UTC+0000'


``tzinfo`` API
--------------

The ``tzinfo`` instances returned by the ``timezone()`` function have
been extended to cope with ambiguous times by adding an ``is_dst``
parameter to the ``utcoffset()``, ``dst()`` && ``tzname()`` methods.

>>> tz = timezone('America/St_Johns')

>>> normal = datetime(2009, 9, 1)
>>> ambiguous = datetime(2009, 10, 31, 23, 30)

The ``is_dst`` parameter is ignored for most timestamps. It is only used
during DST transition ambiguous periods to resulve that ambiguity.

>>> tz.utcoffset(normal, is_dst=True)
datetime.timedelta(-1, 77400)
>>> tz.dst(normal, is_dst=True)
datetime.timedelta(0, 3600)
>>> tz.tzname(normal, is_dst=True)
'NDT'

>>> tz.utcoffset(ambiguous, is_dst=True)
datetime.timedelta(-1, 77400)
>>> tz.dst(ambiguous, is_dst=True)
datetime.timedelta(0, 3600)
>>> tz.tzname(ambiguous, is_dst=True)
'NDT'

>>> tz.utcoffset(normal, is_dst=False)
datetime.timedelta(-1, 77400)
>>> tz.dst(normal, is_dst=False)
datetime.timedelta(0, 3600)
>>> tz.tzname(normal, is_dst=False)
'NDT'

>>> tz.utcoffset(ambiguous, is_dst=False)
datetime.timedelta(-1, 73800)
>>> tz.dst(ambiguous, is_dst=False)
datetime.timedelta(0)
>>> tz.tzname(ambiguous, is_dst=False)
'NST'

If ``is_dst`` is not specified, ambiguous timestamps will raise
an ``pytz.exceptions.AmbiguousTimeError`` exception.

>>> tz.utcoffset(normal)
datetime.timedelta(-1, 77400)
>>> tz.dst(normal)
datetime.timedelta(0, 3600)
>>> tz.tzname(normal)
'NDT'

>>> import pytz.exceptions
>>> try:
... tz.utcoffset(ambiguous)
... except pytz.exceptions.AmbiguousTimeError:
... print('pytz.exceptions.AmbiguousTimeError: %s' % ambiguous)
pytz.exceptions.AmbiguousTimeError: 2009-10-31 23:30:00
>>> try:
... tz.dst(ambiguous)
... except pytz.exceptions.AmbiguousTimeError:
... print('pytz.exceptions.AmbiguousTimeError: %s' % ambiguous)
pytz.exceptions.AmbiguousTimeError: 2009-10-31 23:30:00
>>> try:
... tz.tzname(ambiguous)
... except pytz.exceptions.AmbiguousTimeError:
... print('pytz.exceptions.AmbiguousTimeError: %s' % ambiguous)
pytz.exceptions.AmbiguousTimeError: 2009-10-31 23:30:00


Problems with Localtime
~~~~~~~~~~~~~~~~~~~~~~~

The major problem we have to deal with is that certain datetimes
may occur twice in a year. For example, in the US/Eastern timezone
on the last Sunday morning in October, the following sequence
happens:

- 01:00 EDT occurs
- 1 hour later, instead of 2:00am the clock is turned back 1 hour
and 01:00 happens again (this time 01:00 EST)

In fact, every instant between 01:00 and 02:00 occurs twice. This means
that if you try and create a time in the 'US/Eastern' timezone
the standard datetime syntax, there is no way to specify if you meant
before of after the end-of-daylight-saving-time transition. Using the
pytz custom syntax, the best you can do is make an educated guess:

>>> loc_dt = eastern.localize(datetime(2002, 10, 27, 1, 30, 00))
>>> loc_dt.strftime(fmt)
'2002-10-27 01:30:00 EST-0500'

As you can see, the system has chosen one for you and there is a 50%
chance of it being out by one hour. For some applications, this does
not matter. However, if you are trying to schedule meetings with people
in different timezones or analyze log files it is not acceptable.

The best and simplest solution is to stick with using UTC. The pytz
package encourages using UTC for internal timezone representation by
including a special UTC implementation based on the standard Python
reference implementation in the Python documentation.

The UTC timezone unpickles to be the same instance, and pickles to a
smaller size than other pytz tzinfo instances. The UTC implementation
can be obtained as pytz.utc, pytz.UTC, or pytz.timezone('UTC').

>>> import pickle, pytz
>>> dt = datetime(2005, 3, 1, 14, 13, 21, tzinfo=utc)
>>> naive = dt.replace(tzinfo=None)
>>> p = pickle.dumps(dt, 1)
>>> naive_p = pickle.dumps(naive, 1)
>>> len(p) - len(naive_p)
17
>>> new = pickle.loads(p)
>>> new == dt
True
>>> new is dt
False
>>> new.tzinfo is dt.tzinfo
True
>>> pytz.utc is pytz.UTC is pytz.timezone('UTC')
True

Note that some other timezones are commonly thought of as the same (GMT,
Greenwich, Universal, etc.). The definition of UTC is distinct from these
other timezones, and they are not equivalent. For this reason, they will
not compare the same in Python.

>>> utc == pytz.timezone('GMT')
False

See the section `What is UTC`_, below.

If you insist on working with local times, this library provides a
facility for constructing them unambiguously:

>>> loc_dt = datetime(2002, 10, 27, 1, 30, 00)
>>> est_dt = eastern.localize(loc_dt, is_dst=True)
>>> edt_dt = eastern.localize(loc_dt, is_dst=False)
>>> print(est_dt.strftime(fmt) + ' / ' + edt_dt.strftime(fmt))
2002-10-27 01:30:00 EDT-0400 / 2002-10-27 01:30:00 EST-0500

If you pass None as the is_dst flag to localize(), pytz will refuse to
guess and raise exceptions if you try to build ambiguous or non-existent
times.

For example, 1:30am on 27th Oct 2002 happened twice in the US/Eastern
timezone when the clocks where put back at the end of Daylight Saving
Time:

>>> dt = datetime(2002, 10, 27, 1, 30, 00)
>>> try:
... eastern.localize(dt, is_dst=None)
... except pytz.exceptions.AmbiguousTimeError:
... print('pytz.exceptions.AmbiguousTimeError: %s' % dt)
pytz.exceptions.AmbiguousTimeError: 2002-10-27 01:30:00

Similarly, 2:30am on 7th April 2002 never happened at all in the
US/Eastern timezone, as the clocks where put forward at 2:00am skipping
the entire hour:

>>> dt = datetime(2002, 4, 7, 2, 30, 00)
>>> try:
... eastern.localize(dt, is_dst=None)
... except pytz.exceptions.NonExistentTimeError:
... print('pytz.exceptions.NonExistentTimeError: %s' % dt)
pytz.exceptions.NonExistentTimeError: 2002-04-07 02:30:00

Both of these exceptions share a common base class to make error handling
easier:

>>> isinstance(pytz.AmbiguousTimeError(), pytz.InvalidTimeError)
True
>>> isinstance(pytz.NonExistentTimeError(), pytz.InvalidTimeError)
True


A special case is where countries change their timezone definitions
with no daylight savings time switch. For example, in 1915 Warsaw
switched from Warsaw time to Central European time with no daylight savings
transition. So at the stroke of midnight on August 5th 1915 the clocks
were wound back 24 minutes creating an ambiguous time period that cannot
be specified without referring to the timezone abbreviation or the
actual UTC offset. In this case midnight happened twice, neither time
during a daylight saving time period. pytz handles this transition by
treating the ambiguous period before the switch as daylight savings
time, and the ambiguous period after as standard time.


>>> warsaw = pytz.timezone('Europe/Warsaw')
>>> amb_dt1 = warsaw.localize(datetime(1915, 8, 4, 23, 59, 59), is_dst=True)
>>> amb_dt1.strftime(fmt)
'1915-08-04 23:59:59 WMT+0124'
>>> amb_dt2 = warsaw.localize(datetime(1915, 8, 4, 23, 59, 59), is_dst=False)
>>> amb_dt2.strftime(fmt)
'1915-08-04 23:59:59 CET+0100'
>>> switch_dt = warsaw.localize(datetime(1915, 8, 5, 00, 00, 00), is_dst=False)
>>> switch_dt.strftime(fmt)
'1915-08-05 00:00:00 CET+0100'
>>> str(switch_dt - amb_dt1)
'0:24:01'
>>> str(switch_dt - amb_dt2)
'0:00:01'

The best way of creating a time during an ambiguous time period is
by converting from another timezone such as UTC:

>>> utc_dt = datetime(1915, 8, 4, 22, 36, tzinfo=pytz.utc)
>>> utc_dt.astimezone(warsaw).strftime(fmt)
'1915-08-04 23:36:00 CET+0100'

The standard Python way of handling all these ambiguities is not to
handle them, such as demonstrated in this example using the US/Eastern
timezone definition from the Python documentation (Note that this
implementation only works for dates between 1987 and 2006 - it is
included for tests only!):

>>> from pytz.reference import Eastern # pytz.reference only for tests
>>> dt = datetime(2002, 10, 27, 0, 30, tzinfo=Eastern)
>>> str(dt)
'2002-10-27 00:30:00-04:00'
>>> str(dt + timedelta(hours=1))
'2002-10-27 01:30:00-05:00'
>>> str(dt + timedelta(hours=2))
'2002-10-27 02:30:00-05:00'
>>> str(dt + timedelta(hours=3))
'2002-10-27 03:30:00-05:00'

Notice the first two results? At first glance you might think they are
correct, but taking the UTC offset into account you find that they are
actually two hours appart instead of the 1 hour we asked for.

>>> from pytz.reference import UTC # pytz.reference only for tests
>>> str(dt.astimezone(UTC))
'2002-10-27 04:30:00+00:00'
>>> str((dt + timedelta(hours=1)).astimezone(UTC))
'2002-10-27 06:30:00+00:00'


Country Information
~~~~~~~~~~~~~~~~~~~

A mechanism is provided to access the timezones commonly in use
for a particular country, looked up using the ISO 3166 country code.
It returns a list of strings that can be used to retrieve the relevant
tzinfo instance using ``pytz.timezone()``:

>>> print(' '.join(pytz.country_timezones['nz']))
Pacific/Auckland Pacific/Chatham

The Olson database comes with a ISO 3166 country code to English country
name mapping that pytz exposes as a dictionary:

>>> print(pytz.country_names['nz'])
New Zealand


What is UTC
~~~~~~~~~~~

'UTC' is `Coordinated Universal Time`_. It is a successor to, but distinct
from, Greenwich Mean Time (GMT) and the various definitions of Universal
Time. UTC is now the worldwide standard for regulating clocks and time
measurement.

All other timezones are defined relative to UTC, and include offsets like
UTC+0800 - hours to add or subtract from UTC to derive the local time. No
daylight saving time occurs in UTC, making it a useful timezone to perform
date arithmetic without worrying about the confusion and ambiguities caused
by daylight saving time transitions, your country changing its timezone, or
mobile computers that roam through multiple timezones.

.. _Coordinated Universal Time: https://en.wikipedia.org/wiki/Coordinated_Universal_Time


Helpers
~~~~~~~

There are two lists of timezones provided.

``all_timezones`` is the exhaustive list of the timezone names that can
be used.

>>> from pytz import all_timezones
>>> len(all_timezones) >= 500
True
>>> 'Etc/Greenwich' in all_timezones
True

``common_timezones`` is a list of useful, current timezones. It doesn't
contain deprecated zones or historical zones, except for a few I've
deemed in common usage, such as US/Eastern (open a bug report if you
think other timezones are deserving of being included here). It is also
a sequence of strings.

>>> from pytz import common_timezones
>>> len(common_timezones) < len(all_timezones)
True
>>> 'Etc/Greenwich' in common_timezones
False
>>> 'Australia/Melbourne' in common_timezones
True
>>> 'US/Eastern' in common_timezones
True
>>> 'Canada/Eastern' in common_timezones
True
>>> 'US/Pacific-New' in all_timezones
True
>>> 'US/Pacific-New' in common_timezones
False

Both ``common_timezones`` and ``all_timezones`` are alphabetically
sorted:

>>> common_timezones_dupe = common_timezones[:]
>>> common_timezones_dupe.sort()
>>> common_timezones == common_timezones_dupe
True
>>> all_timezones_dupe = all_timezones[:]
>>> all_timezones_dupe.sort()
>>> all_timezones == all_timezones_dupe
True

``all_timezones`` and ``common_timezones`` are also available as sets.

>>> from pytz import all_timezones_set, common_timezones_set
>>> 'US/Eastern' in all_timezones_set
True
>>> 'US/Eastern' in common_timezones_set
True
>>> 'Australia/Victoria' in common_timezones_set
False

You can also retrieve lists of timezones used by particular countries
using the ``country_timezones()`` function. It requires an ISO-3166
two letter country code.

>>> from pytz import country_timezones
>>> print(' '.join(country_timezones('ch')))
Europe/Zurich
>>> print(' '.join(country_timezones('CH')))
Europe/Zurich


Internationalization - i18n/l10n
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Pytz is an interface to the IANA database, which uses ASCII names. The `Unicode Consortium's Unicode Locales (CLDR) <http://cldr.unicode.org>`_
project provides translations. Thomas Khyn's
`l18n <https://pypi.python.org/pypi/l18n>`_ package can be used to access
these translations from Python.


License
~~~~~~~

MIT license.

This code is also available as part of Zope 3 under the Zope Public
License, Version 2.1 (ZPL).

I'm happy to relicense this code if necessary for inclusion in other
open source projects.


Latest Versions
~~~~~~~~~~~~~~~

This package will be updated after releases of the Olson timezone
database. The latest version can be downloaded from the `Python Package
Index <http://pypi.python.org/pypi/pytz/>`_. The code that is used
to generate this distribution is hosted on launchpad.net and available
using the `Bazaar version control system <http://bazaar-vcs.org>`_
using::

bzr branch lp:pytz

Announcements of new releases are made on
`Launchpad <https://launchpad.net/pytz>`_, and the
`Atom feed <http://feeds.launchpad.net/pytz/announcements.atom>`_
hosted there.


Bugs, Feature Requests & Patches
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Bugs can be reported using `Launchpad <https://bugs.launchpad.net/pytz>`_.


Issues & Limitations
~~~~~~~~~~~~~~~~~~~~

- Offsets from UTC are rounded to the nearest whole minute, so timezones
such as Europe/Amsterdam pre 1937 will be up to 30 seconds out. This
is a limitation of the Python datetime library.

- If you think a timezone definition is incorrect, I probably can't fix
it. pytz is a direct translation of the Olson timezone database, and
changes to the timezone definitions need to be made to this source.
If you find errors they should be reported to the time zone mailing
list, linked from http://www.iana.org/time-zones.


Further Reading
~~~~~~~~~~~~~~~

More info than you want to know about timezones:
http://www.twinsun.com/tz/tz-link.htm


Contact
~~~~~~~

Stuart Bishop <stuart@stuartbishop.net>

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distributions

pytz-2015.2.zip (493.5 kB view details)

Uploaded Source

pytz-2015.2.tar.gz (282.9 kB view details)

Uploaded Source

pytz-2015.2.tar.bz2 (166.8 kB view details)

Uploaded Source

Built Distributions

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

pytz-2015.2-py3.4.egg (477.8 kB view details)

Uploaded Egg

pytz-2015.2-py3.3.egg (478.1 kB view details)

Uploaded Egg

pytz-2015.2-py3.2.egg (477.3 kB view details)

Uploaded Egg

pytz-2015.2-py3.1.egg (477.1 kB view details)

Uploaded Egg

pytz-2015.2-py2.py3-none-any.whl (476.4 kB view details)

Uploaded Python 2Python 3

pytz-2015.2-py2.7.egg (477.1 kB view details)

Uploaded Egg

pytz-2015.2-py2.6.egg (477.3 kB view details)

Uploaded Egg

pytz-2015.2-py2.5.egg (477.3 kB view details)

Uploaded Egg

pytz-2015.2-py2.4.egg (477.7 kB view details)

Uploaded Egg

File details

Details for the file pytz-2015.2.zip.

File metadata

  • Download URL: pytz-2015.2.zip
  • Upload date:
  • Size: 493.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pytz-2015.2.zip
Algorithm Hash digest
SHA256 93f81122d86983cbb056cd12ca7de39d760b6f3e3060e43eff5c5e2034516fa2
MD5 92eeaefeabfd8236cc600f364063bbd3
BLAKE2b-256 cf6a3ed807e3b8574eabc0027cb2c9353b16848df9144f42c4a1f62b22a0e2dd

See more details on using hashes here.

File details

Details for the file pytz-2015.2.tar.gz.

File metadata

  • Download URL: pytz-2015.2.tar.gz
  • Upload date:
  • Size: 282.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pytz-2015.2.tar.gz
Algorithm Hash digest
SHA256 73daf0eb44ad929ad56972ad30938cb231b725b27dff105b7168e7b4491e0452
MD5 08440d994cfbbf13d3343362cc3173f7
BLAKE2b-256 4d208214f28961779de01e6348e444bec3ac5dde8acb9f1986414758880a37fd

See more details on using hashes here.

File details

Details for the file pytz-2015.2.tar.bz2.

File metadata

  • Download URL: pytz-2015.2.tar.bz2
  • Upload date:
  • Size: 166.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pytz-2015.2.tar.bz2
Algorithm Hash digest
SHA256 3e15b416c9a2039c1a51208b2cd3bb4ffd796cd19e601b1d2657afcb77c3dc90
MD5 54260229a7ff3f63a860e3e58c3a6326
BLAKE2b-256 4c814c7062615c419a00c57a49dd7156e3f02e9b6a4d483fa294fd0d0af4fd8b

See more details on using hashes here.

File details

Details for the file pytz-2015.2-py3.4.egg.

File metadata

  • Download URL: pytz-2015.2-py3.4.egg
  • Upload date:
  • Size: 477.8 kB
  • Tags: Egg
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pytz-2015.2-py3.4.egg
Algorithm Hash digest
SHA256 fe69c915863fe0f24c00d61a4bfa5ebd0fa08d859db3a1cfcb3fb20f1a67dd45
MD5 8929e32973ada5870ee4adfa287cff9d
BLAKE2b-256 1a5cfbea74406255a85e4eb62d3e294736069b657a0fc31986adeca8d1d2fe0b

See more details on using hashes here.

File details

Details for the file pytz-2015.2-py3.3.egg.

File metadata

  • Download URL: pytz-2015.2-py3.3.egg
  • Upload date:
  • Size: 478.1 kB
  • Tags: Egg
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pytz-2015.2-py3.3.egg
Algorithm Hash digest
SHA256 6549f19811bfd147517ae68b9d25d89a0207dd308c7a334bd419514e36875c2b
MD5 d7aa9e894991a1dd984f63d0b589bdbe
BLAKE2b-256 be570a919a5bae9f3d06c3586b6b87b1354af0951471148847ffd75d7d84a50c

See more details on using hashes here.

File details

Details for the file pytz-2015.2-py3.2.egg.

File metadata

  • Download URL: pytz-2015.2-py3.2.egg
  • Upload date:
  • Size: 477.3 kB
  • Tags: Egg
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pytz-2015.2-py3.2.egg
Algorithm Hash digest
SHA256 40913c6bfeba1e6b1aef5366db6a74c36253e51a65600e8b770aed7bf7b9d23f
MD5 c4bf485c36b1acbb58bd1915c1854cb0
BLAKE2b-256 116b6dc39abe04cf00d772f168ef50367344065819e61beab141cec29fe6722b

See more details on using hashes here.

File details

Details for the file pytz-2015.2-py3.1.egg.

File metadata

  • Download URL: pytz-2015.2-py3.1.egg
  • Upload date:
  • Size: 477.1 kB
  • Tags: Egg
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pytz-2015.2-py3.1.egg
Algorithm Hash digest
SHA256 374106e01ccdaca4f7fbeec7164c016d92684f05aa38feb1d507dd2fb789ef1f
MD5 d8f8da2d9ebe38bcfd3e35048e92d0bf
BLAKE2b-256 f6defee4f544bd077dc15aad6de90c51021cb0674bfc13ff38001a69218f5e56

See more details on using hashes here.

File details

Details for the file pytz-2015.2-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for pytz-2015.2-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 358b05a0c2605c15cf8337d17016eb95afeaad07c900df9c2cde76e2194a9258
MD5 a4e739524b060782a27c45cc830770a0
BLAKE2b-256 8a896a70420f062b769cd49344c4d2ba09aa1f097888e2d9dac2707fbef46359

See more details on using hashes here.

File details

Details for the file pytz-2015.2-py2.7.egg.

File metadata

  • Download URL: pytz-2015.2-py2.7.egg
  • Upload date:
  • Size: 477.1 kB
  • Tags: Egg
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pytz-2015.2-py2.7.egg
Algorithm Hash digest
SHA256 5e77e68293879fdd9a7b9ff37a0cc9123294b020cba189a8c1b6922cd9f703b5
MD5 025b5522b0e2479447a03a4adf2f6b6c
BLAKE2b-256 73e2e798c064373a40390605b0412f5cf973e1c4a41c46ce9da2a487d119c336

See more details on using hashes here.

File details

Details for the file pytz-2015.2-py2.6.egg.

File metadata

  • Download URL: pytz-2015.2-py2.6.egg
  • Upload date:
  • Size: 477.3 kB
  • Tags: Egg
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pytz-2015.2-py2.6.egg
Algorithm Hash digest
SHA256 2fe74abd1b6d18f93c121558c94c34133881f73f1ec005809b4a9db756a5a91f
MD5 f5ad1091de97c94282fa65fd5cb9adaa
BLAKE2b-256 01e680ffa4ccef92c49bace100fd397ffccb085854128d0ba4469a3bde2a1c58

See more details on using hashes here.

File details

Details for the file pytz-2015.2-py2.5.egg.

File metadata

  • Download URL: pytz-2015.2-py2.5.egg
  • Upload date:
  • Size: 477.3 kB
  • Tags: Egg
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pytz-2015.2-py2.5.egg
Algorithm Hash digest
SHA256 08e8e012bb06237aea5781c1afdeef00590d4cebdb0c098439f8f2eb3046331b
MD5 ca62bdcde46092116742d586c5eb9e91
BLAKE2b-256 a09f6c6a12229afba8de8d1acca8b52b664c4db50f2e5195a4259a46250db6c7

See more details on using hashes here.

File details

Details for the file pytz-2015.2-py2.4.egg.

File metadata

  • Download URL: pytz-2015.2-py2.4.egg
  • Upload date:
  • Size: 477.7 kB
  • Tags: Egg
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pytz-2015.2-py2.4.egg
Algorithm Hash digest
SHA256 f8a813af15ac5e68b52dfc2a0aaa41b1c9b5cfa8e15fa9cf754837f74af74d74
MD5 5a45e40df57e2ec4f33b75d1fefd58db
BLAKE2b-256 d52af0aa28cb4872c82631eeffc090a7cc0e56ec9a52f8d32feaf2aa0aa249f0

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