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 is more easily done, using the
standard astimezone method.

>>> 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 = 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'
>>> utc_dt == utc_dt2
True

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-2016.4.zip (498.0 kB view details)

Uploaded Source

pytz-2016.4.tar.gz (286.8 kB view details)

Uploaded Source

pytz-2016.4.tar.bz2 (172.0 kB view details)

Uploaded Source

Built Distributions

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

pytz-2016.4-py3.5.egg (482.2 kB view details)

Uploaded Egg

pytz-2016.4-py3.4.egg (482.3 kB view details)

Uploaded Egg

pytz-2016.4-py3.3.egg (482.6 kB view details)

Uploaded Egg

pytz-2016.4-py3.2.egg (481.8 kB view details)

Uploaded Egg

pytz-2016.4-py3.1.egg (481.6 kB view details)

Uploaded Egg

pytz-2016.4-py2.py3-none-any.whl (480.9 kB view details)

Uploaded Python 2Python 3

pytz-2016.4-py2.7.egg (481.6 kB view details)

Uploaded Egg

pytz-2016.4-py2.6.egg (481.8 kB view details)

Uploaded Egg

pytz-2016.4-py2.5.egg (481.8 kB view details)

Uploaded Egg

pytz-2016.4-py2.4.egg (482.2 kB view details)

Uploaded Egg

File details

Details for the file pytz-2016.4.zip.

File metadata

  • Download URL: pytz-2016.4.zip
  • Upload date:
  • Size: 498.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pytz-2016.4.zip
Algorithm Hash digest
SHA256 be2ff04e94a2b5454ddcfbebb81ee8e46162734d4c2fcc90c422d16ab51f810b
MD5 eeb649e63d56fac3566a3fefaa35c7fa
BLAKE2b-256 6c4aeb896a5629813b56f5a79cc6b7f5551598f27f1eea6c00c68b47541c1501

See more details on using hashes here.

File details

Details for the file pytz-2016.4.tar.gz.

File metadata

  • Download URL: pytz-2016.4.tar.gz
  • Upload date:
  • Size: 286.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pytz-2016.4.tar.gz
Algorithm Hash digest
SHA256 c823de61ff40d1996fe087cec343e0503881ca641b897e0f9b86c7683a0bfee1
MD5 a3316cf3842ed0375ba5931914239d97
BLAKE2b-256 ad305ab2298c902ac92fdf649cc07d1b7d491a241c5cac8be84dd84464db7d8b

See more details on using hashes here.

File details

Details for the file pytz-2016.4.tar.bz2.

File metadata

  • Download URL: pytz-2016.4.tar.bz2
  • Upload date:
  • Size: 172.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pytz-2016.4.tar.bz2
Algorithm Hash digest
SHA256 ee7c751544e35a7b7fb5e3fb25a49dade37d51e70a93e5107f10575d7102c311
MD5 e56283d61935963157aebc5135206a47
BLAKE2b-256 f47d7c0c85e9c64a75dde11bc9d3e1adc4e09a42ce7cdb873baffa1598118709

See more details on using hashes here.

File details

Details for the file pytz-2016.4-py3.5.egg.

File metadata

  • Download URL: pytz-2016.4-py3.5.egg
  • Upload date:
  • Size: 482.2 kB
  • Tags: Egg
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pytz-2016.4-py3.5.egg
Algorithm Hash digest
SHA256 9c51c2aa05bc6a22b62f6114c03ba2c9882413b8d7dcd5e2531fce87333b41ba
MD5 ff052d011c8c65b688d1fb644f13743b
BLAKE2b-256 5b97d2ab3f05b7420ea0479fd74f1dfc27c1855e8c6fb6abe5ebedb10c58cff9

See more details on using hashes here.

File details

Details for the file pytz-2016.4-py3.4.egg.

File metadata

  • Download URL: pytz-2016.4-py3.4.egg
  • Upload date:
  • Size: 482.3 kB
  • Tags: Egg
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pytz-2016.4-py3.4.egg
Algorithm Hash digest
SHA256 4ffe0390abd525733373b9b3f6acc13ad25c2d64d268fb5a992eaddf5b133b46
MD5 82f78eed642363a4acd51d1cdf9c2dfa
BLAKE2b-256 fcc62617525bc2f652a766f485e72f79a1496637e16da3b16a3c13ea39ba549f

See more details on using hashes here.

File details

Details for the file pytz-2016.4-py3.3.egg.

File metadata

  • Download URL: pytz-2016.4-py3.3.egg
  • Upload date:
  • Size: 482.6 kB
  • Tags: Egg
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pytz-2016.4-py3.3.egg
Algorithm Hash digest
SHA256 82b425cbc05517f6ad70c33825c620104fc5582cf948fb2e776a8449c72c5dcd
MD5 cd529c9141bcc176be38decfad8ad176
BLAKE2b-256 c180079140dca1d2c048801aa2f6ef0c6d42f0874a5ffa742e9d138ce900caf6

See more details on using hashes here.

File details

Details for the file pytz-2016.4-py3.2.egg.

File metadata

  • Download URL: pytz-2016.4-py3.2.egg
  • Upload date:
  • Size: 481.8 kB
  • Tags: Egg
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pytz-2016.4-py3.2.egg
Algorithm Hash digest
SHA256 6aa73396e7bb8031569e849e40e02aca1d79e602864ae60189cf1420baba8f34
MD5 5d3c399b1b3b39562264a37eb46090af
BLAKE2b-256 6fdef5cd633ed55dbca78207cc0b5980445b40ac6d86aceef390aefe167f9f9c

See more details on using hashes here.

File details

Details for the file pytz-2016.4-py3.1.egg.

File metadata

  • Download URL: pytz-2016.4-py3.1.egg
  • Upload date:
  • Size: 481.6 kB
  • Tags: Egg
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pytz-2016.4-py3.1.egg
Algorithm Hash digest
SHA256 bb2bde3edc3fa9ee5c033fbb5e57146d223878f4ff1950303214eccfb1977a46
MD5 16d71506a15b95cbc7ba53f6fbbe034e
BLAKE2b-256 e3f384a7a0ec48073f1718c7f4ebf5d2022a8910d7ed705d62c39e16906a41f8

See more details on using hashes here.

File details

Details for the file pytz-2016.4-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for pytz-2016.4-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 8781cdd3ca70f5a536884e051797ca213b9ff479a5c1cc57240adf37cc1eff1b
MD5 77752641348a9ee3c064a8bc31fd80ce
BLAKE2b-256 aecfa7442138ad899a7587489641a8923f1e640cafc2d6ffe4e79e5d15cc5b3e

See more details on using hashes here.

File details

Details for the file pytz-2016.4-py2.7.egg.

File metadata

  • Download URL: pytz-2016.4-py2.7.egg
  • Upload date:
  • Size: 481.6 kB
  • Tags: Egg
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pytz-2016.4-py2.7.egg
Algorithm Hash digest
SHA256 7b705b7cdadfa89b8e1dae38efe9a6deb41b5cefac35aa8bbfc2318cb09ebd63
MD5 a23e0be3e26199ef69371649358be7ad
BLAKE2b-256 aed14dcd5ec1c8aafdbf417d0ae7ac039ff674277856d40f051f6e98d7efeb59

See more details on using hashes here.

File details

Details for the file pytz-2016.4-py2.6.egg.

File metadata

  • Download URL: pytz-2016.4-py2.6.egg
  • Upload date:
  • Size: 481.8 kB
  • Tags: Egg
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pytz-2016.4-py2.6.egg
Algorithm Hash digest
SHA256 7fec5bb978be08b046dba347cf46e0a8b7a418fc8a25cc7199637a8ac4cc6ff4
MD5 e88a593dcfa770b70a1b7136036f6da1
BLAKE2b-256 9af7687bcf7f76254de8ea2ef79facfa93daa9cf1e3b10ce34b114da8f7dc866

See more details on using hashes here.

File details

Details for the file pytz-2016.4-py2.5.egg.

File metadata

  • Download URL: pytz-2016.4-py2.5.egg
  • Upload date:
  • Size: 481.8 kB
  • Tags: Egg
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pytz-2016.4-py2.5.egg
Algorithm Hash digest
SHA256 b3b7f7f26fd31bf513324572d7dd8f63a406fbbebca296ccc86c40be7979ad79
MD5 2b5b3ddb9eb9890989e8e7e7da20de33
BLAKE2b-256 727f88c2be2daec36c44fa4e4efd9d4109f6c98d3bd734b9b7a2d45344584669

See more details on using hashes here.

File details

Details for the file pytz-2016.4-py2.4.egg.

File metadata

  • Download URL: pytz-2016.4-py2.4.egg
  • Upload date:
  • Size: 482.2 kB
  • Tags: Egg
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pytz-2016.4-py2.4.egg
Algorithm Hash digest
SHA256 66693fc628ba794c03a588b4ff8f49eedc7bf739b77e795459088edd202c5700
MD5 2abdb3dc02d5ad58e8d1203872c4d18a
BLAKE2b-256 f1f53b760dd00bdd613466a16e04547907a248c8464b7b2c065abfdcda4880a5

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