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 git::

git clone https://git.launchpad.net/pytz

A mirror on github is also available at https://github.com/stub42/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-2016.6.1.zip (500.9 kB view details)

Uploaded Source

pytz-2016.6.1.tar.gz (286.9 kB view details)

Uploaded Source

pytz-2016.6.1.tar.bz2 (172.2 kB view details)

Uploaded Source

Built Distributions

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

pytz-2016.6.1-py3.5.egg (482.6 kB view details)

Uploaded Egg

pytz-2016.6.1-py3.4.egg (482.6 kB view details)

Uploaded Egg

pytz-2016.6.1-py3.3.egg (482.9 kB view details)

Uploaded Egg

pytz-2016.6.1-py3.2.egg (482.1 kB view details)

Uploaded Egg

pytz-2016.6.1-py3.1.egg (481.9 kB view details)

Uploaded Egg

pytz-2016.6.1-py2.py3-none-any.whl (481.2 kB view details)

Uploaded Python 2Python 3

pytz-2016.6.1-py2.7.egg (481.9 kB view details)

Uploaded Egg

pytz-2016.6.1-py2.6.egg (482.1 kB view details)

Uploaded Egg

pytz-2016.6.1-py2.5.egg (482.1 kB view details)

Uploaded Egg

pytz-2016.6.1-py2.4.egg (482.6 kB view details)

Uploaded Egg

File details

Details for the file pytz-2016.6.1.zip.

File metadata

  • Download URL: pytz-2016.6.1.zip
  • Upload date:
  • Size: 500.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pytz-2016.6.1.zip
Algorithm Hash digest
SHA256 51ad716f6081f2126deb436349924e069dfcd0cbd9e0cabdacb0b3a72a3b82e7
MD5 4581134ad5c6816013596c95839be813
BLAKE2b-256 e2643dd496f7ceaae4b29ae784164e7644e24833d249481435cfe170e4586339

See more details on using hashes here.

File details

Details for the file pytz-2016.6.1.tar.gz.

File metadata

  • Download URL: pytz-2016.6.1.tar.gz
  • Upload date:
  • Size: 286.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pytz-2016.6.1.tar.gz
Algorithm Hash digest
SHA256 6f57732f0f8849817e9853eb9d50d85d1ebb1404f702dbc44ee627c642a486ca
MD5 b6c28a3b968bc1d8badfb61b93874e03
BLAKE2b-256 5d8e6635d8f3f9f48c03bb925fab543383089858271f9cfd1216b83247e8df94

See more details on using hashes here.

File details

Details for the file pytz-2016.6.1.tar.bz2.

File metadata

  • Download URL: pytz-2016.6.1.tar.bz2
  • Upload date:
  • Size: 172.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pytz-2016.6.1.tar.bz2
Algorithm Hash digest
SHA256 b5aff44126cf828537581e534cc94299b223b945a2bb3b5434d37bf8c7f3a10c
MD5 d47f706283f5780a568bdb4a721f1a9c
BLAKE2b-256 f7c708e54702c74baf9d8f92d0bc331ecabf6d66a56f6d36370f0a672fc6a535

See more details on using hashes here.

File details

Details for the file pytz-2016.6.1-py3.5.egg.

File metadata

  • Download URL: pytz-2016.6.1-py3.5.egg
  • Upload date:
  • Size: 482.6 kB
  • Tags: Egg
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pytz-2016.6.1-py3.5.egg
Algorithm Hash digest
SHA256 1cc1fdda22d183ed6e6c9f65ecbba8e12a9208cfadd384d2d429e18dc0250a0f
MD5 f4b32c547cd3449cc50d9e00d0bad4c4
BLAKE2b-256 846ad6d82e8141b49c6dcd28f3a5258af4e001925877081d6c3e1e15dc31700a

See more details on using hashes here.

File details

Details for the file pytz-2016.6.1-py3.4.egg.

File metadata

  • Download URL: pytz-2016.6.1-py3.4.egg
  • Upload date:
  • Size: 482.6 kB
  • Tags: Egg
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pytz-2016.6.1-py3.4.egg
Algorithm Hash digest
SHA256 060cf9f8770765a7d0be9e0b3e512ab54bc346a15daa50d6c9dd59347a396d3a
MD5 01a766d65da095cbb8872cb894577fe6
BLAKE2b-256 5adb777bbb2b57c067957e02ef10dfc56f15e99013e0d2cf5337dd71d8140a8a

See more details on using hashes here.

File details

Details for the file pytz-2016.6.1-py3.3.egg.

File metadata

  • Download URL: pytz-2016.6.1-py3.3.egg
  • Upload date:
  • Size: 482.9 kB
  • Tags: Egg
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pytz-2016.6.1-py3.3.egg
Algorithm Hash digest
SHA256 2298d266b831852d0a7ef7e17c57c09a0320d187b3f1c85e58903fb6088d268d
MD5 8de4f908c3f89daee3f06a72255fa692
BLAKE2b-256 8605ba974824cb8979d3f3edbf2b9010906abaa05c2641df9f759f17ef8d80d3

See more details on using hashes here.

File details

Details for the file pytz-2016.6.1-py3.2.egg.

File metadata

  • Download URL: pytz-2016.6.1-py3.2.egg
  • Upload date:
  • Size: 482.1 kB
  • Tags: Egg
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pytz-2016.6.1-py3.2.egg
Algorithm Hash digest
SHA256 a44a3486a6657046879406dfd9ef0565b1211ffcf4779bddbe39c72496df1688
MD5 bc5166461bdf6312c34beb98be61319a
BLAKE2b-256 923a0020a7a4b8ee3b0d6e6e9d14e719e32450e0ed6ae655b0a536546c4783a7

See more details on using hashes here.

File details

Details for the file pytz-2016.6.1-py3.1.egg.

File metadata

  • Download URL: pytz-2016.6.1-py3.1.egg
  • Upload date:
  • Size: 481.9 kB
  • Tags: Egg
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pytz-2016.6.1-py3.1.egg
Algorithm Hash digest
SHA256 2f5fa04d1804ff0cd52ca3274ba9e74c775b4b70a18f25fcc537c903dfd5cc18
MD5 8e8850559765419f3cceb0483e1bf626
BLAKE2b-256 2d9c21be7cecc1b38f60ff41b34e9135d3759af7bcf69cafb20440ab9eddb3db

See more details on using hashes here.

File details

Details for the file pytz-2016.6.1-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for pytz-2016.6.1-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 7833bf559800232d3965b70e69642ebdadc76f7988f8d0a1440e072193ecd949
MD5 735126cd1c1ddc824b7c94e091d7173e
BLAKE2b-256 bac73d54cad4fb6cf7bf375d39771e67680ec779a541c68459210fcfdc3ba952

See more details on using hashes here.

File details

Details for the file pytz-2016.6.1-py2.7.egg.

File metadata

  • Download URL: pytz-2016.6.1-py2.7.egg
  • Upload date:
  • Size: 481.9 kB
  • Tags: Egg
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pytz-2016.6.1-py2.7.egg
Algorithm Hash digest
SHA256 dec0bedfa2a91289e2505e4f771dbcb6a3930b6664e6a6ac010cd73f555900ba
MD5 3b1dd4a944e92e84a6510faf81abd655
BLAKE2b-256 79a774bf57f5b10bebb8e605dc277484bddc5559ad8cf5082c90fcd64ab5dcc6

See more details on using hashes here.

File details

Details for the file pytz-2016.6.1-py2.6.egg.

File metadata

  • Download URL: pytz-2016.6.1-py2.6.egg
  • Upload date:
  • Size: 482.1 kB
  • Tags: Egg
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pytz-2016.6.1-py2.6.egg
Algorithm Hash digest
SHA256 5cf3ed40944662a351b2cca0c5bb0c003e0a1b2c4d808e45fad73abf80f44b48
MD5 788cfaba1923d5dcbb9ae3e05b4e16bc
BLAKE2b-256 b0d4f1d22392bf7ef6dd4801e80187ddf4a725a9379df5c07745a9de2ff59548

See more details on using hashes here.

File details

Details for the file pytz-2016.6.1-py2.5.egg.

File metadata

  • Download URL: pytz-2016.6.1-py2.5.egg
  • Upload date:
  • Size: 482.1 kB
  • Tags: Egg
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pytz-2016.6.1-py2.5.egg
Algorithm Hash digest
SHA256 3495f56248eac90e59a1e742d13e2ce647eea46aadf453d0fa22b7eb3d665670
MD5 dad82a18818f9ed0fd64b4fcb1af6f6f
BLAKE2b-256 00d511f3c141d0b1251554b0eb5e793053d118f35da2fcafa0a4914d9c038369

See more details on using hashes here.

File details

Details for the file pytz-2016.6.1-py2.4.egg.

File metadata

  • Download URL: pytz-2016.6.1-py2.4.egg
  • Upload date:
  • Size: 482.6 kB
  • Tags: Egg
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pytz-2016.6.1-py2.4.egg
Algorithm Hash digest
SHA256 97baa64915ef83b98d202ee2d4dbcc891b924b83410e69078523215fa2c72d0a
MD5 29e955fd2b6eaea69c7af069e119b8a4
BLAKE2b-256 dcd18f325e061b3a0774fe0ee6a2e2989a2df4b9374fa07b6b2cd48b8377ba8b

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