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Montréal Montréal-Python 55: Xenosaurus Wagnerien

Date et lieu

Le lundi 23 novembre 2015 de 18h00 à 21h00.

490 de la Gauchetière Ouest suite 300 Montréal Montréal

Description

Tout juste rentrée de PyCon Canada, Montréal-Python est fière d'annoncer la programmation de son prochain événement. Un grand merci à toutes les personnes qui ont proposé une présentation.

Parmi la multitude d'excellentes propositions que nous avons reçues, nous en avons retenu cinq. Nous serons ravis de recevoir toute la communauté Python de Montréal aux nouveaux bureaux de Shopify, situés au centre-ville de Montréal.

Encore une fois, nous souhaitons remercier nos commanditaires, grâce à qui il est possible d'organiser ces événements. Plus particulièrement, nous souhaitons remercier Shopify qui nous recevra et fournira la nourriture lors de l'événement. Nous remercions aussi w.illi.am/, Outbox, Savoir-faire Linux et iWeb pour leur engagement continu.

Présentations éclaires:

Alexandre Desilets-Benoit Starting on a GUI: WXpython vs Kivy

Should I build a GUI using WXpython or Kivy? Why not both! A quick overview of the beginner's toolkit with practical examples in science, games, etc.

Présentations principales:

Jake Sethi-Reiner How to teach Python to a ten year old

Everyone can benefit from hearing about Jake's experiences learning Python — what was helpful and what was not! The good and the bad…

Kamal Marhubi asyncio.get_event_loop() -> what is that?

Last week I realized I had no idea how event loops work. A couple of days later, I was looking at the asyncio source with a friend, and I want to share some of what we found out.

In this talk, we'll find out at what an event loop is, why you might want to use one, and get a look at some of the key parts of the implementation in the standard asyncio module.

François Maillet Epic NHL goal celebration hack with a hue light show and real-time machine learning

This talk shows how Python was used to trigger an epic sound and light show whenever the Montreal Canadiens hockey team scored a goal in last season's playoffs.

The author trained a machine learning model to detect in real-time that a goal was just scored by the Habs based on the live audio feed of a game and to trigger a light show using Philips hues in his living room. The system was built using various Python modules, more specifically scikit-learn, pyaudio, librosa, phue and bottle.

Federico Ariza Introduction to new Matplotlib toolbar

Latest Matplotlib release includes an optional new toolbar that allows easy modification and simple creation of tools. Introduction to use and internals of this toolbar.

Quand:

Lundi le 23 Novembre 2015

Horaire:

Nous aimerions remercier nos commanditaires pour leur soutien continu:

Informations

URL http://montrealpython.org/fr/2015/11/mp55/

Contact Mathieu Leduc-Hamel

Mots-clés