Where is the event?

Chestnut Residence & Conference Centre

We are hosting Pycon Canada 2018 at the wonderful Chestnut Residence & Conference Centre. Located adjacent to the city landmark of Yonge and Dundas Square and directly north of the city's Financial District, Chestnut Conference Centre is in the heart of the downtown core. It is only a 5 minute walk from the St. Patrick subway station, 10 minute walk from Eaton Centre and a 10 minute walk from Toronto’s Financial District.

Any accommodations available?

DoubleTree by Hilton Hotel Toronto Downtown

Set in the center of Toronto's financial, government, research, medical, education and shopping districts, DoubleTree by Hilton Hotel Toronto Downtown offers a quiet retreat in the heart of a vibrant, urban location. They have generously offered our visitors a special rate of $169+tax/night. You can use this link to make your reservation.


provided by improvcare

Childcare is available for the duration of the conference (Nov 10-11) and included in the ticket price. You need to buy a ticket in order to apply for childcare, when you buy a ticket you'll get an option to receive childcare package. Age limit for childcare is 10 years old. More information about the childcare provider.

Keynote Speakers

Froilán Irizarry

Python Lover

Froilán Irizarry is a developer, community builder and recovering entrepreneur. He’s worked with enterprise companies, government and startups using various technologies, focusing the last couple of years on Python and Javascript. Over the last four years he’s helped organise a number of tech events, including Fullstack Nights and PyCaribbean 2017. In the past year he worked with the US Digital Service completing his term, co-founded the Maria Tech Brigade, and joined the Code.gov team where he now helps US federal agencies share and open source government code.

Holden Karau

Python Lover

Holden Karau is a transgender Canadian open source developer advocate @ Google with a focus on Apache Spark, Airflow, and related "big data" tools. She is the co-author of Learning Spark, High Performance Spark, and another Spark book that's a bit more out of date. She is a committer and PMC on Apache Spark and committer on SystemML & Mahout projects. She was tricked into the world of big data while trying to improve search and recommendation systems and has long since forgotten her original goal.

Solmaz Shahalizadeh

Python Lover

Solmaz is the VP of Data Science and Engineering at Shopify leading the data organization. Her teams build the data platform and the machine learning solutions that power Shopify's internal and merchant facing data products including Shopify's real-time Order Fraud Analysis, Shopify Capital and Shopify Home. Her and her teams build majority of their data solutions using Python (and Spark) and she is a big fan of the Python community. With multiple graduate degrees in computer science and machine learning, prior to joining Shopify, she worked at Morgan Stanley as an analyst and at McGill university as a cancer researcher, applying machine learning techniques to predict breast cancer outcome. Solmaz has a passion for building high quality data products that delight users and solve real world problems.

Graham Toppin

Python Lover

Graham is the VP of Applied Sciences and Research at Wave, where he’s responsible for the integration of new technologies and research areas into the company, primarily Machine Learning and Artificial Intelligence. Over the years, Graham has built, led and managed teams from 5 to 100 as a founder, manager, executive and board member. He has a passion for solving complex problems by creating fun, inclusive, high performing teams. In previous lives, he’s built multi-petabyte systems, found homes for lost cats and puppies, done stand up comedy at weddings and night clubs (including an unfortunately momentous poetry jam) and taken himself far too seriously.

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Development Sprints

12th-13th, November, 2018

Development Sprints will be held over two days on November 12th and 13th. The wiki to sign up projects and to check out projects is available here: https://github.com/pyconca/2018-wiki/wiki