maya 0.1.6

☤ Basic Usage of Maya

Behold, datetimes for humans!

>>> now = maya.now()
<MayaDT epoch=1481850660.9>

>>> tomorrow = maya.when('tomorrow')
<MayaDT epoch=1481919067.23>

>>> tomorrow.slang_date()
'tomorrow'

>>> tomorrow.slang_time()
'23 hours from now'

>>> tomorrow.iso8601()
'2016-12-16T15:11:30.263350Z'

>>> tomorrow.rfc2822()
'Fri, 16 Dec 2016 20:11:30 -0000'

>>> tomorrow.datetime()
datetime.datetime(2016, 12, 16, 15, 11, 30, 263350, tzinfo=<UTC>)

# Automatically parse datetime strings and generate naive datetimes.
>>> scraped = '2016-12-16 18:23:45.423992+00:00'
>>> maya.parse(scraped).datetime(to_timezone='US/Eastern', naive=True)
datetime.datetime(2016, 12, 16, 13, 23, 45, 423992)

>>> rand_day = maya.when('2011-02-07', timezone='US/Eastern')
<MayaDT epoch=1297036800.0>

# Note how this is the 6th, not the 7th.
>>> rand_day.day
6

# Always.
>>> rand_day.timezone
UTC

☤ Why is this useful?

• All timezone algebra will behave identically on all machines, regardless of system locale.

• Complete symmetric import and export of both ISO 8601 and RFC 2822 datetime stamps.

• Fantastic parsing of both dates written for/by humans and machines (maya.when() vs maya.parse()).

• Support for human slang, both import and export (e.g. an hour ago).

• Datetimes can very easily be generated, with or without tzinfo attached.

• This library is based around epoch time, but dates before Jan 1 1970 are indeed supported, via negative integers.

• Maya never panics, and always carries a towel.

☤ What about Delorean, Arrow, & Pendulum?

Arrow, for example, is a fantastic library, but isn’t what I wanted in a datetime library. In many ways, it’s better than Maya for certain things. In some ways, in my opinion, it’s not.

I simply desire a sane API for datetimes that made sense to me for all the things I’d ever want to do—especially when dealing with timezone algebra. Arrow doesn’t do all of the things I need (but it does a lot more!). Maya does do exactly what I need.

I think these projects complement each-other, personally. Maya is great for parsing websites. For example- Arrow supports floors and ceilings and spans of dates, which Maya does not at all.

☤ Installing Maya

Installation is easy, with pip:

$ pip install maya

✨🍰✨

☤ Like it?

Say Thanks!

How to Contribute

1. Check for open issues or open a fresh issue to start a discussion around a feature idea or a bug.

2. Fork the repository on GitHub to start making your changes to the master branch (or branch off of it).

3. Write a test which shows that the bug was fixed or that the feature works as expected.

4. Send a pull request and bug the maintainer until it gets merged and published. :) Make sure to add yourself to AUTHORS.