Schedule - Day 2
| 8:30 | Breakfast & Registration | 30 mins |
| 9:00 | Lightning Talks | 1 hour |
| 10:00 |
Morning Keynote
Françoise Provencher |
1 hour |
| 11:00 |
Innovating in unusual places
Talk room #1 Sarah Sun |
90 mins |
|
Operator overloading: you're doing it wrong
Talk room #2 Greg Ward |
90 mins | |
|
PySpark: avoiding common pitfalls and keeping your sanity
PyData Track (Round Room) Jonathan Rioux |
90 mins | |
|
Python & Kubernetes, a match made in heaven
Tutorial (Clipper Room) Frédéric Harper |
90 mins | |
| 11:40 |
Making multiple inheritance not work
Talk room #1 Andy Fundinger |
25 mins |
|
Introduction to asynchronous programming
Talk room #2 Juti Noppornpitak |
25 mins | |
|
Feature engineering: an apprentice’s guide to the dark art” of machine learning
PyData Track (Round Room) Deborah Diller Harris |
25 mins | |
|
Python & Kubernetes, a match made in heaven
Tutorial (Clipper Room) Frédéric Harper |
25 mins | |
| 12:20 |
Beating your friends at board games using Python and machine learning
Talk room #1 Daniel Kats |
25 mins |
|
Automating data pipeline using Apache Airflow
Talk room #2 Mridu Bhatnagar |
25 mins | |
|
Energy indicators and Jupyter Notebooks at the Canada Energy Regulator
PyData Track (Round Room) Margaret Skwara and Janna Rodeokova |
25 mins | |
|
Python & Kubernetes, a match made in heaven
Tutorial (Clipper Room) Frédéric Harper |
25 mins | |
| 12:45 | Lunch | 1 hour |
| 13:45 |
Afternoon Keynote
William Lachance |
1 hour |
| 14:45 |
Python is a weirdo
Talk room #1 Carol Chen |
25 mins |
|
Put Your Data in a Box
Talk room #2 Josh Reed |
25 mins | |
|
Gimme Shelter: Using Python to Find an Apartment in Toronto
PyData Track (Round Room) Ian Whitestone |
25 mins | |
|
A need for speed: accelerating your math with vectorization and Numpy
Tutorial Room Kyle Kotowick, Ph.D. |
25 mins | |
| 15:25 |
The blameless post mortem: how embracing failure makes us better
Talk room #1 Chris Wilcox |
25 mins |
|
Python table manners: a clean style
Talk room #2 Wei Lee |
25 mins | |
|
Data insights from linked data
PyData Track (Round Room) Rachel Wang and Jordan Pedersen |
25 mins | |
|
A need for speed: accelerating your math with vectorization and Numpy
Tutorial Room Kyle Kotowick, Ph.D. |
25 mins | |
| 16:05 |
Pull requests: merging good practices into your project
Talk room #1 Luca Bezerra |
25 mins |
|
How to level up
Talk room #2 Leta Montopoli |
25 mins | |
|
Why that great machine learning research can’t be reproduced and how to fix it
PyData Track (Round Room) Abhishek Gupta |
25 mins | |
|
Open Space
Tutorial (Clipper Room) |
25 mins | |
| 16:30 | Closing remarks | 15 mins |
| 16:45 | mingle time | 50 mins |