semvec/pypi-packages huggingface dataset:
datanator-query-python 0.0.4
A package to query and format the data in the integrated Datanator database
License: MIT

|Documentation| |Test results| |Test coverage| |Code analysis| |License|
|Analytics|

datanator_query_python
======================

Write an overview

Installation
------------

1. Install dependencies
2. Install the latest release from PyPI

::

   pip install datanator_query_python.git[all]

3. Install the latest revision from GitHub

::

   pip install git+https://github.com/KarrLab/datanator_query_python.git#egg=datanator_query_python[all]

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

Please see the `API
documentation <https://docs.karrlab.org/datanator_query_python>`__.

License
-------

The package is released under the `MIT license <LICENSE>`__.

Development team
----------------

This package was developed by the `Karr Lab <https://www.karrlab.org>`__
at the Icahn School of Medicine at Mount Sinai in New York, USA.

Questions and comments
----------------------

Please contact the `Karr Lab <mailto:info@karrlab.org>`__ with any
questions or comments.

.. |Documentation| image:: https://readthedocs.org/projects/datanator-query-python/badge/?version=latest
   :target: https://docs.karrlab.org/datanator_query_python
.. |Test results| image:: https://circleci.com/gh/KarrLab/datanator_query_python.svg?style=shield
   :target: https://circleci.com/gh/KarrLab/datanator_query_python
.. |Test coverage| image:: https://coveralls.io/repos/github/KarrLab/datanator_query_python/badge.svg
   :target: https://coveralls.io/github/KarrLab/datanator_query_python
.. |Code analysis| image:: https://api.codeclimate.com/v1/badges/141d01cec991d17ed5ab/maintainability
   :target: https://codeclimate.com/github/KarrLab/datanator_query_python
.. |License| image:: https://img.shields.io/github/license/KarrLab/datanator_query_python.svg
   :target: LICENSE
.. |Analytics| image:: https://ga-beacon.appspot.com/UA-86759801-1/datanator_query_python/README.md?pixel
venv-clean 0.1.0
Finds python virtual environments in your machine. Displays disk usage and other data, and allows you to delete them.
License: MIT
Keywords: python venv virtual environment env manage

venv-clean
----------

Tool that finds python virtual environments in your machine, displaying interesting data, such as disk usage and packages installed.
It gives the user the chance to delete one or more virtual environments to free disk space.


Usage
-----

.. image:: demos/cli-demo.gif


The package can be used directly on your terminal. The only argument it receives (for now) is the path where you want to look for virtual environments.

.. code-block:: sh

    $ venv-clean -h
    usage: venv_clean [-h] [-p PATH]

    Python Virtual Environment finder & manager

    optional arguments:
      -h, --help            show this help message and exit
      -p PATH, --path PATH  path where to look for virtual environments


Through a TUI, the user will be displayed with the data.


Installation
------------

Latest release through PyPI:

.. code-block:: sh

    $ pip install venv_clean

Development version:

.. code-block:: sh

    $ git clone git@github.com:jcapona/venv-clean.git
    $ cd pi-gpio-api
    $ pip install -e .


Contribute
----------

Feel free to open issues, report bugs or open pull requests.
swiftype-enterprise 1.0.1
A Deprecated API client for Swiftype Enterprise Search. Use elastic_enterprise_search instead.
License: MIT
Keywords: swiftype enterprise search api

<p align="center"><img src="https://github.com/swiftype/swiftype-enterprise-python/blob/master/logo-enterprise-search.png?raw=true" alt="Elastic Enterprise Search Logo"></p>

> **⚠️ This client is deprecated ⚠️**
>
> **swiftype_enterprise has been replaced by elastic_enterprise_search. Thank you! - Elastic**

> A first-party Python client for [Elastic Enterprise Search](https://www.elastic.co/solutions/enterprise-search).

## Contents

+ [Getting started](#getting-started-)
+ [Usage](#usage)
+ [FAQ](#faq-)
+ [Contribute](#contribute-)
+ [License](#license-)

***

## Getting started ��

Supports Python 2.7 and Python 3.3+.

Depends on [futures](https://github.com/PythonCharmers/python-future) and [requests](https://github.com/requests/requests).

Installed with
`pip <http://pypi.python.org/pypi/pip>`:

```bash
$ python -m pip install swiftype_enterprise
```

You can also download and install the project source:

```bash
$ python setup.py install
```

## Usage

Retrieve your access token and a content source key after creating your content source.

Indexing a document into a custom content source:

```python
  from swiftype_enterprise import SwiftypeEnterpriseClient
  content_source_key = 'content source key'
  authorization_token = 'authorization token'
  client = SwiftypeEnterpriseClient(authorization_token)
  documents = [
    {
      'id': '1234',
      'url': 'https://github.com/swiftype/swiftype-enterprise-python',
      'title': 'Swiftype Enterprise Python Github',
      'body': 'A descriptive body, with document contents and metadata'
    }
  ]

  document_results = client.index_documents(content_source_key, documents, timeout=10, delay=2)
  print(document_results)
```

### Change API endpoint

```python
client = SwiftypeEnterpriseClient(authorization_token, "https://your-server.example.com/api/v1/ent")
```

## FAQ ��

### Where do I report issues with the client?

If something is not working as expected, please open an [issue](https://github.com/swiftype/swiftype-enterprise-python/issues/new).

## Contribute ��

We welcome contributors to the project. Before you begin, a couple notes...

+ Before opening a pull request, please create an issue to [discuss the scope of your proposal](https://github.com/swiftype/swiftype-enterprise-python/issues).
+ Please write simple code and concise documentation, when appropriate.

## License ��

[MIT](https://github.com/swiftype/swiftype-enterprise-python/blob/master/LICENSE) © [Elastic](https://github.com/elastic)

Thank you to all the [contributors](https://github.com/swiftype/swiftype-enterprise-python/graphs/contributors)!
django-ajax-image-upload 0.9.4
Upload images via ajax.
License: MIT
Keywords: django-ajax-image-upload

=============================
Django Ajax Image Upload
=============================

.. image:: https://badge.fury.io/py/django-ajax-image-upload.svg
    :target: https://badge.fury.io/py/django-ajax-image-upload

.. image:: https://travis-ci.org/idaproject/django-ajax-image-upload.svg?branch=master
    :target: https://travis-ci.org/idaproject/django-ajax-image-upload

.. image:: https://codecov.io/gh/idaproject/django-ajax-image-upload/branch/master/graph/badge.svg
    :target: https://codecov.io/gh/idaproject/django-ajax-image-upload

Upload images via ajax.

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

The full documentation is at https://django-ajax-image-upload.readthedocs.io.

Quickstart
----------

Install Django Ajax Image Upload::

    pip install django-ajax-image-upload

Add it to your `INSTALLED_APPS`:

.. code-block:: python

    INSTALLED_APPS = (
        ...
        'ajaximage',
        ...
    )

Add Django Ajax Image Upload's URL patterns:

.. code-block:: python

    from ajaximage import urls as ajaximage_urls


    urlpatterns = [
        ...
        url(r'^', include(ajaximage_urls)),
        ...
    ]

Define your Image model:
.. code-block:: python

    from ajaximage.models import AbstractImage


    class MyImage(AbstractImage):
        # define additional fields here

        class Meta:
            ...


Define generic tabular inline
.. code-block::python

    from ajaximage.admin import ImageInline

    from .models import MyImage


    class MyImageInline(ImageInline):
        models = MyImage

Example usage of AjaxImageUploadMixin:
.. code-block::python

    models.py


Features
--------

* TODO

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

Does the code actually work?

::

    source <YOURVIRTUALENV>/bin/activate
    (myenv) $ pip install tox
    (myenv) $ tox

Credits
-------




History
-------

0.4.0 (2018-01-28)
++++++++++++++++++

* First release on PyPI.
cImage 2.0.2
Image manipulation library for media computation education
License: MIT
Keywords: image,education

cImage  -  A simple image processing library for Python
=======================================================


Installation
============


If using Thonny, go to Tools -> Manage Packages, then enter ``cs20-image``. This should install both the image module, and the Pillow module (so you can use any type of image you'd like).


If you are not using Thonny, copy image.py to your site-packages directory, or just keep it in the same folder as the Python scripts that import it.


Usage
=====

This image library is not going to give you fancy high performance operations on images.  It allows you to read in an image and manipulate its pixels.  Then you can save the new image to a file, or you can display the image in a window.  Thats really about it, but its really all you want to do if you are teaching an introductory computer science course.

Image Types Supported
---------------------

If you have PIL installed on your system (if you are using Thonny, this was installed along with the image module):

* jpeg
* gif
* tiff
* png
* etc.

If you do not have PIL installed then you are stuck with GIF images only.


Example
-------

::

    import image

    win = image.ImageWin(480, 640, "Image Processing")
    original_image = image.FileImage('lcastle.gif')

    width = original_image.get_width()
    height = original_image.get_height()
    print(width, height)

    original_image.draw(win)
    my_image = original_image.copy()

    for row in range(height):
        for col in range(width):
             v = my_image.get_pixel(col,row)
             v.red = 255 - v.red
             v.green = 255 - v.green
             v.blue = 255 - v.blue
             my_image.set_pixel(col,row,v)

    my_image.draw(win)
    print(win.get_mouse())
    my_image.save('lcastle-inverted.gif')
    print(my_image.to_list())
    win.exit_on_click()