What we’re about
PyData is a group for users and developers of data and datascience tools to share ideas and learn from each other. We gather to discuss how best to tackle the evolving challenges in data management, processing, analytics, and visualization.
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 (+256758992814 ) or (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).
Upcoming events
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•HybridNovember Meetup
Makerere University, P.O.Box 7062, Kampala, UGPyData Kampala invites you to the November Meetup happening on Friday, 28th November 2025 at Makerere University, Unipod, Yusuf Lule Central Teaching Facility, from 5:30 pm to 7:30 pm.
The speaker, A. Kirabo, is a software engineer specializing in machine learning. She will be presenting on Using Python to Create Documents and Reproducible Reports with Quarto.
Kirabo has worked with Femicide Count Kenya and contributed to the Email Alerts and Data Highlighter projects in collaboration with researchers from Data Against Feminicide and DISCO Lab. She developed the BSGenomeForge package while working at Bioconductor and has shared her open-source experience through talks at Bioc2023 and PyCon Uganda 2023.
In this session, she will demonstrate practical approaches for building transparent, automated, and reproducible workflows for data analysis and reporting using Python and Quarto.
Physical attendance (limited slots): https://forms.gle/J2kci5C31MQGHFcSA8 attendees
Past events
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