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This project forked from dataforgoodfr/batch8_mednum

0.0 1.0 0.0 60.53 MB

License: MIT License

Jupyter Notebook 98.91% Dockerfile 0.01% Python 0.32% CSS 0.33% HTML 0.40% TypeScript 0.02% JavaScript 0.01%

batch8_mednum's Introduction

Binder

batch8_mednum

Développement d'un outil de localisation des zones d'exclusion numérique du territoire national grâce à l'indice de fragilité numérique. Outil à destination des collectivités et des élus locaux.

Installation

Cloner et configurer:

# Récupération du repo git
git clone https://github.com/dataforgoodfr/batch8_mednum.git
cd batch8_mednum
# creation et activation d'un nouvel environnement virtuel
conda create -y --name fragil_num python=3.7

# Installation des dépendances
conda env update --name fragil_num --file environment.yml

# chargement de l'environnement virtuel
conda activate fragil_num

Téléchargement des données

Dans le répertoire principal batch8_mednum et après avoir activé l'environnement.

python -m mednum.data.process all

pour mettre en place l'ensemble

ou simplement une seule étape

python -m mednum.data.process download_geojson

Lancement panel Bokeh

panel serve dockerize-apps/panel/mednumapp.py

Lancement dockers

drawing

cd dockerize-apps
docker-compose up 

batch8_mednum's People

Contributors

camila-ud avatar cecilegltslmcs avatar gabysoph avatar henley13 avatar michael-bot521 avatar outinim avatar slamer59 avatar

Watchers

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