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.

The PyData Code of Conduct ( https://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/ynjGdT . Thank you for helping us to maintain a welcoming and friendly PyData community!

Our website is https://pdx.pydata.org/

Follow us on twitter https://twitter.com/pydatapdx

We have a slack channel - you can contact the organizers to get the invite link.

Upcoming events (4)

PyData PDX Monthly Meetup (in Cyberspace!)

Online event

We are excited to have Max Halford, a leader and maintainer of the River streaming ML project, with us to discuss "Online machine inference and learning in practice."

A growing number of data teams have to deal with real-time data feeds. Handling these feeds is challenging. Part of the reason is historical: data processing is usually done in a batch fashion. This is even more so true for machine learning. The latter involves two steps: inference, and learning. Both of these can be done online. But how? What design patterns does this involve? What architecture is necessary? How does this look in practice every day? We’ll try to answer these questions by the end of this talk. In particular, we’ll focus on River, which is a Python package for online machine learning. We’ll also discuss the higher level tools which are necessary to deploy an online machine learning model into production.

We'll get to chat with one another after the talk with our Monte Carlo Zoom breakout rooms.

For more information or to get the slack workspace invite link, email [masked]

Join us!

PyData PDX Monthly Meetup (in Cyberspace!)

Online event

Placeholder! Details to come.

We'll get to chat with one another after the talk with our Monte Carlo Zoom breakout rooms.

For more information or to get the slack workspace invite link, email [masked]

Join us!

PyData PDX Monthly Meetup (in Cyberspace!)

Online event

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PyData PDX Monthly Meetup (in Cyberspace!)

Online event

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Past events (65)

Game Night-in-the-middle-of-the-day

Online event

Photos (15)