semvec/pypi-packages huggingface dataset:
django-nepal 0.1
A Django app to get information about Adminstrative bodies of Nepal.
License: MIT
Requires Python: >=3.8

============
Django Nepal
============

Django-Nepal is a Django app that provides information about the administrative bodies of Nepal. Currently it has
the names of seven provinces of Nepal, name of the districts inside each of the provinces and name of all the municipalities
( including Metropolitan, Sub-Metropolitan and rural Municipalities aka Gaun Palika) inside each districts.
Hope this saves your time while working on your web project based project for Nepal.



Quick start
-----------

1. Add "django-nepal" to your INSTALLED_APPS setting like this::

    INSTALLED_APPS = [
        ...

        'djangnepal',

        ...
    ]

2. Run ``python manage.py makemigrations djangonepal``

3. Run ``python manage.py migrate`` to create the models.

4. Add ``djangonepal.context_processors.data`` to your 'context_processors' (optional)

    'context_processors': [
        ...

        'djangonepal.context_processors.data'

        ...
        ]

5. Run ``python manage.py runscript load_data`` wait till the import finishes. This import will let 
   you use the data the way you want.

6. If you followed step 4 you should be able to render it in your template using 
        
            {% for i in province %}
            <p> {{i.name}} </p>
            {% endfor %}
        
    For district ``{{i.district}}``
    For VDC/Municipality/Metropolitan/Sub-Metropolitan ``{{i.municipality}}``

7. You could also register the model on your admin.py file with 

   
        from djangonepal.models import * 
        admin.site.register(Province)
        admin.site.register(District)
        admin.site.register(Municipality)
bounden 1.0.0b21
Bounds and positions
License: MIT
Requires Python: >=3.10

# Bounden

**Bounden** describes points and regions within _n_-dimensional space.

## Points

The `Point` class describes a point in _n_-dimensional space.

The class's generic type describes the coordinate type of each dimension, and must be specified as a tuple:

```python
from bounden import Point

in_line = Point[tuple[int]]((0,))
in_rect = Point[tuple[int, int]]((0, 0))
in_cube = Point[tuple[int, int, int]]((0, 0, 0))
```

The position is read from the `position` property:

```python
from bounden import Point

point = Point[tuple[int, int, int]]((1, 2, 3))
print(point.position)
# (1, 2, 3)
```

## Installation

**Bounden** requires Python 3.10 or later and can be installed from [PyPI](https://pypi.org/project/bounden/).

```console
pip install bounden
```

## Support

Please raise bugs, feature requests and ask questions at [cariad/bounden/issues](https://github.com/cariad/bounden/issues).

## The Project

**Bounden** is &copy; 2022 Cariad Eccleston and released under the [MIT License](https://github.com/cariad/bounden/blob/main/LICENSE) at [cariad/nvalues](https://github.com/cariad/bounden).

## The Author

Hello! 👋 I'm **Cariad Eccleston** and I'm a freelance backend and infrastructure engineer in the United Kingdom. You can find me at [cariad.earth](https://cariad.earth), [github/cariad](https://github.com/cariad), [linkedin/cariad](https://linkedin.com/in/cariad) and on Mastodon at [@cariad@tech.lgbt](https://tech.lgbt/@cariad).