Nous nous rejoindrons chez Shopify lundi prochain pour le premier Montreal-Python de l'année ! Nous aurons d'abord 4 présentations super intéressantes, et nous irons ensuite au Bénélux pour poursuivre la discussion!


Nicolas Kruchten: Explore Your Data and Then Let Others Do It Too: Plotly Express and Dash

You start the morning exploring some data in a Jupyter notebook with Plotly Express and after lunch you whip up a web application to give your non-programmer colleagues access to those same insights with Dash, all in under a 100 lines of Python, no Javascript required. This talk will show you how Plotly's open-source libraries fit together to make this possible.

Adil Addiya: Building a standalone app using electron and flask

Federico Ariza: Python Camera Simulator

Overview and use of the EMVA1288 camera Simulator. With the rapid development of autonomous driving, there is a need for more realistic hardware simulation that provide the same kind of challenge to the Computer Vision systems as the real deal. This Simulator is being used in professional environments around the world. It provides accurate physics model to reproduce characteristics and defects of different kind of sensors.

Matthieu Ranger: Feedback loops in data systems

When 'filter bubbles' came to public attention, it became pressing that systems that consume their own recommendations as data can be subject to noxious feedback loops.

In this talk, we go over several examples of feedback loops, then discuss the technical and management issues related.


Lundi le 1er avril 2019 à 18 h

Shopify, 490 rue de la Gauchetière Montréal, Québec


  • 6:00PM - Ouverture des portes
  • 6:30PM - Présentations
  • 8:00PM - Fin de la soirée
  • 8:15PM - Benelux