What we’re about
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.
PyData is dedicated to providing a harassment-free meeting experience for everyone, regardless of gender, sexual orientation, gender identity and expression, disability, physical appearance, body size, race, or religion. We do not tolerate harassment of meeting participants in any form.
All communication should be appropriate for a professional audience including people of many different backgrounds. Sexual language and imagery is not appropriate for any conference venue, including talks.
Be kind to others. Do not insult or put down other attendees. Behave professionally. Remember that harassment and sexist, racist, or exclusionary jokes are not appropriate for PyData.
To discuss any issues or concerns relating to the code of conduct or behavior of anyone at the PyData meetup, please contact the local group organizers (message us on the meetup page). Please also submit a report of any potential Code of Conduct violation directly to NumFOCUS (https://numfocus.typeform.com/to/ynjGdT).
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See all- Network event1,678 attendees from 139 groups hostingPyData Global 2024Link visible for attendees
PyData Global 2024 is a 3-day virtual event for the international community of data scientists, data engineers, and developers of data analysis tools to share ideas and learn from each other.
During the conference, attendees will have the opportunity to attend live keynote sessions and talks, lightning talks, and get to know fellow members of the PyData Community.
The event will be virtually hosted.
Schedule: https://pydata.org/global2024/schedule
Buy tickets here: https://pydata.org/global2024/tickets