The Open Source
Innovation Spring 2016

Qualité logicielle | IoT | Cloud | Big Data | Systèmes d'information

Mai-juin 2017, Paris - Villetaneuse - La Défense - Saclay

Présidence : Roberto Di Cosmo, vice-président du GTLL, directeur de l’Irill, directeur de recherche Inria, Professeur à l’Université Paris-Diderot

Organisé par : logo Systematic & logo Initiative de Recherche et Innovation sur le Logiciel Libre

12 Juin 2017 — PyParis

09h-18h

ESILV, Paris "Big Data"

Résumé

The PyParis conference (June 12-13 2017) is a gathering of users and developers of tools written in the Python programming language. Our goals are to provide Python enthusiasts a place to share ideas and learn from each other about how best to apply the language and tools to ever-evolving challenges in the vast realm of data analytics, cloud computing, web application development, IoT, scientific computing, etc. 

We aim to be an accessible, community-driven conference, with tutorials for novices, advanced topical workshops for practitioners, and opportunities for package developers and users to meet in person.

A major goal of PyParis is to provide a venue for users across all the various domains of information technology and computer science to share their experiences and their techniques, as well as highlight the triumphs and potential pitfalls of using Python for certain kinds of problems.

This year, we will have the following tracks:

  • Data analytics ("PyData") and scientific computing (including a special track dedicated to scikit-learn)
  • Apps and cloud computing
  • Core Python
  • Education

More information coming soon with a dedicated website.

Direction de programme

Programme dirigé par Stéfane Fermigier (Abilian), Gaël Varoquaux (Inria).

Programme résumé

Lieu

ESILV

Ville: Paris

Organisateurs (2016)

Co-organisateurs et sponsors (2016)

Ils parlent de l'OSIS (2016)

Soutiens du Pôle Systematic