Package Usage: docker: python
Python is an interpreted, interactive, object-oriented, open-source programming language.
1,700 versions
Latest release: about 1 year ago
7,682,427,201 downloads total
View more package details: https://packages.ecosystem.code.gouv.fr/registries/hub.docker.com/packages/python
Dependent Repos 455
picasoft/projets/updates-notifier
Sends an email and a message in Mattermost and by email to alert the tech team when new versions of tools are availableLast synced: 8 months ago
picasoft/projets/services/lufi
A file upload service made by Luc (Framasoft), with metrics added.Last synced: 8 months ago
DYLISS/cadbiom
Cadbiom is an open source modeling software. Based on Guarded transition semantic, it gives a formal framework to help the modeling of biological systems such as cell signaling network.Last synced: 8 months ago
LISA/Acronyms
List of LISA acronyms. TeX file to be used in other document. Autogeneration of the PDF version.Last synced: 8 months ago
entropie/cetaces/where_deploy
Récupération des données des balises argos placées sur des baleinesLast synced: 8 months ago
OSUG/RESIF/ws.resif.fr
Pages web statiques d'accueil quand on visite http://ws.resif.fr Contient la liste et description des webservices.Last synced: 8 months ago
picasoft/projets/graph-bot
Ce projet vise à automatiser la construction des schémas de l’infrastructure.Last synced: 8 months ago
healthdatahub/applications-du-hdh/schema-snds
Formalisation du schéma du SNDS selon la spécification table-schema. Création de produits dérivés.Last synced: 7 days ago - Pushed: about 1 year ago
healthdatahub/applications-du-hdh/cartographie-ecosysteme-snds
The main database of the French National Health Data System (SNDS) contains data from Health Insurance reimbursements, hospital treatment and medical causes of death. In order to characterise its use for health research and innovation, an interactive cartography has been produced to understand the framework of its use and to identify the stakeholders of the SNDS ecosystem. A bibliographic search via PubMed (available here), LiSSa, HAL was conducted to identify scientific articles published starting January 2007 on studies using SNDS data. The list of authors, their affiliations, keywords, the number of citations and much more were collected. A descriptive analysis was carried out in order to assess temporal and geographical trends in the use of SNDS main database. The graphs where generated with networkx, a python package used for the creation manipulation and study of complex networks. To generate the Author/Affiliations graphs we first create the adjacency matrix between the Authors/Affiliations and the article PMIDs. We then use the networkx.Graph class to create the needed undirected graphs, using the adjacency matrices as the data to intialize the graphs.Last synced: 7 days ago - Pushed: about 1 year ago