Django app for Tanzania Regions and Districts
Project description
django-mikoa
A Django application consisting of all Tanzania locations from Regions to District.
Prerequisites
- Python 3.6+
- Pip or Pipenv
It will Cover
- Regions (region, capital, number of districts, area, population, postcode and zone)
- Districts (district, region, population)
- Wards
- Vilage/Streets
Installation
This package is available in Python Package Index and can be installed using pip
or pipenv
- Run
pip install django-mikoa
- Add
mikoa
toINSTALLED_APPS
- Run
python manage.py migrate
Usage
To access Tanzania Regions
from mikoa.models import Region
regions = Region.objects.all()
print(regions)
To access Tanzania Districts
from mikoa.models import District
districts = District.objects.all()
print(districts)
To access all Districts of Certain Region
from mikoa.models import Region, District
regions = Region.objects.all()
for region in regions:
for district in region.district_set.all():
print(district.region.name)
print(district.name)
Give it a star
If you found this repository useful, give it a star so as the whole galaxy of developer can get to know it.
Bug bounty?
If you encounter issue with the usage of the package, feel free raise an issue so as we can fix it as soon as possible(ASAP).
Pull Requests
If you have something to add I welcome pull requests on improvement , you're helpful contribution will be merged as soon as possible
Disclaimer
All the location I used to build this repository, I got from an public repository titled tanzania-locations-db, I'm not responsible for any kind of misinformation in it, So use it to your own risk
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
File details
Details for the file django_mikoa-0.0.3-py3-none-any.whl
.
File metadata
- Download URL: django_mikoa-0.0.3-py3-none-any.whl
- Upload date:
- Size: 11.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.0
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3f534484fed86c189ac67f682e1d5b93e715923ec4a39397e82d45cb76043527 |
|
MD5 | cf546d159de933d8a379963c6c5c31e3 |
|
BLAKE2b-256 | a5991929888db90348a8a3b7d8ea47744a9eb7139a9b374c05071df59d4dfbf3 |