semvec/pypi-packages huggingface dataset:
acdh-django-geonames 0.1.8
A django package providing models and views for Geoname Places
License: MIT
Keywords: acdh-django-geonames

=============================
GeoName Places
=============================

.. image:: https://badge.fury.io/py/acdh-django-geonames.svg
    :target: https://badge.fury.io/py/acdh-django-geonames

.. image:: https://travis-ci.com/acdh-oeaw/acdh-django-geonames.svg?branch=master
    :target: https://travis-ci.com/acdh-oeaw/acdh-django-geonames

.. image:: https://readthedocs.org/projects/geonames-utils/badge/?version=latest
    :target: https://geonames-utils.readthedocs.io/en/latest/?badge=latest
    :alt: Documentation Status

.. image:: https://codecov.io/gh/acdh-oeaw/acdh-django-geonames/branch/master/graph/badge.svg
    :target: https://codecov.io/gh/acdh-oeaw/acdh-django-geonames

A django package providing models and views for Geoname Places

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

The full documentation is at https://acdh-django-geonames.readthedocs.io.

Quickstart
----------

Install GeoName Places::

    pip install acdh-django-geonames

Add it to your `INSTALLED_APPS`:

.. code-block:: python

    INSTALLED_APPS = (
        ...
        'gn_places.apps.GnPlacesConfig',
        ...
    )

Add GeoName Places's URL patterns:

.. code-block:: python

    from gn_places import urls as gn_places_urls


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

Features
--------

* TODO

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

Does the code actually work?

::

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


Development commands
---------------------

::

    pip install -r requirements_dev.txt
    invoke -l


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
-------

0.1.0 (2021-01-11)
++++++++++++++++++

* First release on PyPI.
katscript-jupyterlab 0.4.4
Syntax highlighting for KatScript within JupyterLab.
License: MIT
Requires Python: >=3.6
Keywords: Jupyter,JupyterLab,JupyterLab3

# KatScript JupyterLab

Syntax highlighting for KatScript within JupyterLab.


## Requirements

* JupyterLab >= 3.0


## Install

Clone the repo, then

```bash
pip install .
```


## Contributing

### Development install

Note: You will need NodeJS to build the extension package.

The `jlpm` command is JupyterLab's pinned version of
[yarn](https://yarnpkg.com/) that is installed with JupyterLab. You may use
`yarn` or `npm` in lieu of `jlpm` below.

```bash
# Clone the repo to your local environment
# Change directory to the katscript-jupyterlab directory
# Install package in development mode
pip install -e .
# Link your development version of the extension with JupyterLab
jupyter labextension develop . --overwrite
# If using a server extension, it must be manually installed in develop mode
jupyter server extension enable <extension_name>
# Rebuild extension Typescript source after making changes
jlpm run build
```

You can watch the source directory and run JupyterLab at the same time in
different terminals to watch for changes in the extension's source and
automatically rebuild the extension.

```bash
# Watch the source directory in one terminal, automatically rebuilding when needed
jlpm run watch
# Run JupyterLab in another terminal
jupyter lab
```

With the watch command running, every saved change will immediately be built
locally and available in your running JupyterLab. Refresh JupyterLab to load
the change in your browser (you may need to wait several seconds for the
extension to be rebuilt).

By default, the `jlpm run build` command generates the source maps for this
extension to make it easier to debug using the browser dev tools. To also
generate source maps for the JupyterLab core extensions, you can run the
following command:

```bash
jupyter lab build --minimize=False
```

### Uninstall

```bash
pip uninstall katscript-jupyterlab
```
datacoco-sf-tools 0.1.1
Data common code for SF Interaction by Equinox
License: MIT

datacoco-sf_tools
=======================


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

datacoco-sf_tools requires Python 3.6+

::

    python3 -m venv <virtual env name>
    source <virtual env name>/bin/activate
    pip install datacoco-sf-tools

Quickstart
----------



Development
-----------

Getting Started
~~~~~~~~~~~~~~~

It is recommended to use the steps below to set up a virtual environment for development:

::

    python3 -m venv <virtual env name>
    source <virtual env name>/bin/activate
    pip install -r requirements.txt

Testing
~~~~~~~

::

    pip install -r requirements-dev.txt

To run the testing suite, simply run the command: ``tox`` or ``python -m unittest discover tests``

Contributing
------------

Contributions to datacoco\_sf\_tools are welcome!

Please reference guidelines to help with setting up your development
environment
`here <https://github.com/equinoxfitness/datacoco-sf_tools/blob/master/CONTRIBUTING.rst>`__.