semvec/pypi-packages huggingface dataset:
django-vueformgenerator 0.2.3
A package to help bridge the gap between Django's Forms and VueFormGenerator's Schemas using DjangoRestFramework.
License: MIT
Keywords: django-vueformgenerator

=============================
Django-VueFormGenerator
=============================

.. image:: https://badge.fury.io/py/django-vueformgenerator.png
    :target: https://badge.fury.io/py/django-vueformgenerator

.. image:: https://travis-ci.org/player1537/django-vueformgenerator.png?branch=master
    :target: https://travis-ci.org/player1537/django-vueformgenerator

A package to help bridge the gap between Django's Forms and VueFormGenerator's Schemas using DjangoRestFramework.

Documentation
-------------

The full documentation is at https://django-vueformgenerator.readthedocs.org.

Quickstart
----------

Install Django-VueFormGenerator::

    pip install django-vueformgenerator

Then use it in a project::

    from django_vueformgenerator.schema import Schema
    from django import forms
    import json

    class TestForm(forms.Form):
        title = forms.CharField(max_length=128)
        content = forms.TextField(max_length=1280)

    form = TestForm()  # or TestForm(data={'title':'My Title'})
    schema = Schema().render(form)
    print(json.dumps(schema))


Features
--------

* TODO

Running Tests
--------------

Does the code actually work?

::

    source <YOURVIRTUALENV>/bin/activate
    (myenv) $ pip install -r requirements_test.txt
    (myenv) $ python runtests.py

Credits
---------

Tools used in rendering this package:

*  Cookiecutter_
*  `cookiecutter-djangopackage`_

.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`cookiecutter-djangopackage`: https://github.com/pydanny/cookiecutter-djangopackage




History
-------

0.2.3 (2016-11-03)
++++++++++++++++++

* Add support for dotted models. Use this feature by defining your Form with a
  field that has a name with double-underscores (e.g. "foo__bar__baz", which
  will become "foo.bar.baz" in the schema's model field).

0.2.2 (2016-11-01)
++++++++++++++++++

* Fix implementation of using initial data in forms. Previously, if you used
  `CharField(initial='foo')` then this information would not be preserved when
  creating the schema.

0.2.1 (2016-10-27)
++++++++++++++++++

* Fix bug in tests so that the tests run successfully in Python 2.7.

0.2.0 (2016-10-25)
++++++++++++++++++

* Add ability to use existing data in form
* DEPRECATED: Any code which previously used `Schema().render(MyForm)` should
  now use `Schema().render(MyForm())` (in other words, `render()` accepts an
  instance of a form, rather than a form itself). To check if you are calling
  the function against contract, you can run your code with `python -Wd`
  (e.g. `python -Wd manage.py runserver`).

0.1.1 (2016-10-18)
++++++++++++++++++

* Add additional tests for schema generation
* Add components for numbers and for selecting between choices
* Add Python 2 support
* Add better documentation
* Fix exception raised on bad widget

0.1.0 (2016-10-11)
++++++++++++++++++

* First release on PyPI.
pyinsta_dl 0.1.4
Python implementation for download images and videos from Instagram
License: MIT
Keywords: instagram download media image video

pyinsta_dl
===================

.. image:: https://travis-ci.org/natanocr/pyinsta_dl.svg?branch=master
    :alt: travis-cli tests status for pyinsta_dl
    :target: https://travis-ci.org/natanocr/pyinsta_dl

.. image:: https://coveralls.io/repos/github/natanocr/pyinsta_dl/badge.svg
    :alt: coveralls tests status for pyinsta_dl
    :target: https://coveralls.io/github/natanocr/pyinsta_dl

.. image:: https://landscape.io/github/natanocr/pyinsta_dl/master/landscape.svg?style=flat
   :target: https://landscape.io/github/natanocr/pyinsta_dl/master
   :alt: Code Health

.. image:: http://badge.kloud51.com/pypi/v/pyinsta_dl.svg
    :alt: Version of pyinsta_dl
    :target: https://pypi.python.org/pypi/pyinsta_dl/

.. image:: http://badge.kloud51.com/pypi/d/pyinsta_dl.svg
    :alt: Downloads of pyinsta_dl
    :target: https://pypi.python.org/pypi/pyinsta_dl/

.. image:: http://badge.kloud51.com/pypi/l/pyinsta_dl.svg
    :alt: License of pyinsta_dl
    :target: https://pypi.python.org/pypi/pyinsta_dl/

.. image:: http://badge.kloud51.com/pypi/f/pyinsta_dl.svg
    :alt: Format of pyinsta_dl
    :target: https://pypi.python.org/pypi/pyinsta_dl/

.. image:: http://badge.kloud51.com/pypi/py_versions/pyinsta_dl.svg
    :alt: Python version of pyinsta_dl
    :target: https://pypi.python.org/pypi/pyinsta_dl/

.. image:: http://badge.kloud51.com/pypi/e/pyinsta_dl.svg
    :alt: Eggs pyinsta_dl
    :target: https://pypi.python.org/pypi/pyinsta_dl/


Python implementation for download images and videos from Instagram

PhantomJs is requeride
--------

>>> sudo curl --output /usr/local/phantomjs/phantomjs https://s3.amazonaws.com/circle-downloads/phantomjs-2.1.1 && chmod +x /usr/local/phantomjs/phantomjs


Usage for Single media
-------

>>> import pyinsta_dl
>>> url = pyinsta_dl.get('https://www.instagram.com/p/BIIKGvsAzAn')
>>> print(url)

Usage for All media
-------

>>> import pyinsta_dl
>>> urls_list = pyinsta_dl.get_all('https://www.instagram.com/milreceitas/')
>>> print(urls_list)

Install
-------

**pyinsta_dl** is also available at pypi:

http://pypi.python.org/pypi/pyinsta_dl

::

    $ pip install pyinsta_dl

And done ;)

For devs:
--------

>>> git clone https://github.com/natanocr/pyinsta_dl.git
>>> cd pyinsta_dl
>>> pip install -r requeriments.txt

Tests
-------

>>> python setup.py test

----

========== ======
Source      https://github.com/natanocr/pyinsta_dl
Issues      https://github.com/natanocr/pyinsta_dl/issues
PyPi        http://pypi.python.org/pypi/pyinsta_dl
Author      Natan Oliveira
License     MIT
========== ======
skyarea 0.2.1
Compute credible regions on the sky from RA-DEC MCMC samples
License: MIT
Keywords: MCMC credible regions skymap LIGO

Sky Areas
=========

Computing credible areas and p-values for MCMC samples on the sky
using a clustered-kernel-density estimate (similar to X-Means).

See the project documentation at http://skyarea.readthedocs.io

The code is released under the MIT license; see the LICENSE file for
more information.