Sketch credit Cynthia Savard
If PyCon is not enough, Montréal-Python has the solution: a meetup! Now that your first incredible day of sprints is over, we are bringing on stage some of PyCon's superstar presenters for encore presentations.
This special Montréal-Python edition will be co-organized by MTLData, DevOpsMTL and DockerMTL.
Trey Causey: Scalable Machine Learning in Python using GraphLab Create
I'll be giving an overview of how to use GraphLab Create to quickly build scalable predictive models and deploy them to production using just an IPython notebook on a laptop.
Nina Zakharenko: Technical Debt - The code monster in everyone's closet
Technical debt is the code monster hiding in everyone's closet. If you ignore it, it will terrorize you at night. To banish it and re-gain your productivity, you'll need to face it head on.
Olivier Grisel: What's new in scikit-learn 0.16 and what's cooking in the master branch.
Scikit-learn is a Machine Learning library from the Python data ecosystem. Olivier will give an overview and some demos of the (soon to be | recently) released 0.16.0 version.
Jérome Petazzoni: Deep dive into Docker storage drivers
We will present how aufs and btrfs drivers compare from a high-level perspective, explaining their pros and cons. This will help the audience to make more informed decisions when picking the most appropriate driver for their workloads.
Pierre-Yves David: Mercurial, with real python bites
In this talk, we'll go over on the advantages of Python that helped the project both in its early life when so much feature needs to be implemented, but also nowaday when major companies like Facebook bet on Mercurial for scaling. We'll also point at the drawback of choosing Python and how some work-arounds had to be found. Finally, we'll look at how the choice of Python have an impact on the user too with a demonstration of the extensions system.
Thanks also to our special sponsors for this event: Docker Inc. and LightSpeed Retail
Nicolas Kruchten: Lightning talk
Nicolas Kruchten will be giving the first ever public demo of Datacratic's Machine Learning Database (MLDB): a product which is distributed as a Docker image and which uses Python as a plugin and scripting language.
Monday, April 13h 2015
Notman House 51 Rue Sherbrooke West, Montréal, QC H2X 1X2 https://goo.gl/maps/rg4jI
Just grab a ticket here: http://pycon-python-data-devops-docker.eventbrite.ca
- 6:00pm — Doors open
- 6:30pm — Presentations start
- 7:30pm — Break
- 7:45pm — Second round of presentations
- 9:00pm — One free beer offered at Bénélux just across the street
We’d like to thank our sponsors for their ongoing support:
- Lightspeed Retail
- Docker Inc.
- Savoir-Faire Linux