Cover Image for Plotly Data Exploration of Montreal
Cover Image for Plotly Data Exploration of Montreal
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Presented by
Plotly
Plotly is the leading platform for data scientists to create interactive data applications in Python.
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Plotly Data Exploration of Montreal

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Montréal, Québec
Registration
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About Event

Join us in building Python-based visualizations, based on the Montreal dataset of the month. We'll work in small groups to build creative and rich apps to find data insights and learn more about the city we love.

We'll use the Plotly Graphing library and Plotly Studio: an AI-native desktop application that automatically generates professional data apps and visualizations in minutes, using nothing but your dataset.

Don't worry if you're new to Python and Plotly. Harshita will provide a brief introduction at the beginning of the session.

Note: please bring your own laptops with batteries loaded. We'll bring the food and soda. Also, we encourage you to join Plotly's Discord server where we discuss the projects we tackle at these events.

Mission

The mission of this monthly Montreal get-together is to harness the power of data visualization and AI to uncover insights that can help improve the city we love. Our collaborative sessions focus on analyzing our city's data with the goal of learning about Montreal and making it a better place for everyone.

Plotly Representative

Harshita Gupta - is a Product Manager with deep experience in fintech, SaaS, and AI-driven applications. She has led projects at Questrade and Scotiabank, modernizing complex systems from Salesforce to contact center platforms. Outside of work, she’s an active builder in the AI community—organizing hackathons, peer-support pods, and meetups like AI Ladies Lounge. She’s especially curious about making data tools like Plotly more accessible for non-coders and community learning.

Location
Please register to see the exact location of this event.
Montréal, Québec
Avatar for Plotly
Presented by
Plotly
Plotly is the leading platform for data scientists to create interactive data applications in Python.
12 Going