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PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.

The PyData Code of Conduct governs this meetup. To discuss any issues or concerns relating to the code of conduct or the behavior of anyone at a PyData meetup, please contact NumFOCUS Executive Director Leah Silen (+1 512-222-5449; [leah@numfocus.org](mailto:leah@numfocus.org)) or the group organizer.

Upcoming events

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  • Making Static & Interactive Visualizations using Matplotlib

    Making Static & Interactive Visualizations using Matplotlib

    CUNY Graduate Center, 365 5th Avenue, New York, NY, US

    We're excited to announce a partnership with The Open Data Team at the NYC Office of Technology and Innovation (OTI), BetaNYC, and Data Through Design (DxD)
    for a hands-on tutorial focused on one of the most widely used visualization libraries in Python: Matplotlib.

    In this interactive session, Hannah Aizenman will guide participants through the fundamentals of creating powerful visualizations in Python using Matplotlib. Whether you’re new to data visualization or looking to deepen your understanding of how Matplotlib works under the hood, this session will provide practical skills you can immediately apply to your own projects.
    Participants will work directly with data from the NYC 311 Service Requests Dataset, exploring real-world data while learning how to build visualizations and interactive plots.
    This tutorial will include hands-on coding, so please bring your laptop and be ready to follow along.

    ## Agenda

    ### 1. Overview of the Matplotlib Artist Model & Basic Plotting

    We’ll begin with a conceptual overview of how Matplotlib works internally through the Artist model, followed by creating basic plots and visualizations.

    ### 2. Simple Animation

    Learn how to create animated plots to visualize changes in data over time using Matplotlib’s animation tools.

    ### 3. Interactivity in Matplotlib

    Explore ways to make your visualizations interactive, including:

    • Built-in interactive features
    • Creating custom interactive behaviors for more advanced data exploration

    Networking
    Connect with fellow data enthusiasts, professionals, and community leaders. Build meaningful connections and forge collaborations.

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    Doors open @ 6 pm
    Doors close @ 7 pm
    Event @ 6:30 - 8:30 pm
    Venue: The CUNY Graduate Center: 365 5th Ave, New York, NY 10016
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    #opendataweek #nycsodata #civictech #opendata
    #PyDataNYC #OpenSource #Matplotlib #Python

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    The building requires a government-issued photo ID for entrance. This, and all PyData NYC events, is an all-level event. Newcomers and beginners are welcome. This and all NumFOCUS-affiliated events and spaces, both in-person and online, are governed by a Code of Conduct.
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    This event may be recorded.

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    34 attendees

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