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What we’re about

PyData Prague aims to unite data analysts, engineers, scientists, and others involved in the usage, developments, and support of open source technologies in the area of scientific computation. These include pandas, numpy, IPython, R, matplotlib, Julia, Jupyter, and other related projects.

We ultimately aim to organise meetups as well as conferences, we want to provide a platform for spreading the ideas revolving around open technologies that help us in day to day work, be it commercial, non-profit, or educational.

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If you have any questions, don't hesitate to contact me, Ondrej, at ondrej.kokes@gmail.com. We're open to all sorts of topics, so feel free to suggest what you want to discuss or present yourself.

There's a Czech Python Slack where we have a channel intended for PyData organisational purposes. Ping me an email if you want to be a part of this, we welcome support in all shapes and forms.

In case you want to keep track via Facebook, you can join this group - https://www.facebook.com/groups/pydataprague

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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 (http://pydata.org/code-of-conduct.html) 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 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/ynjGdTThank you for helping us to maintain a welcoming and friendly PyData community!

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