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. ( http://pydata.org/code-of-conduct.html ) 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; email@example.com) or the group organizer.
In this meetup we will cover the evolution of the solutions aiming to improving the beloved pandas dataframe, a key component of the Pyton data ecosystem.
External registration required, please see below!
Devin Petersohn - Modin
ML engineer @ Intel and creator of Modin
Jovan Veljanoski - Vaex
Senior data scientist @ XebiaLabs and co-founder of Vaex.io
Miguel Martínez - cuDF
Senior Deep Learning Data Scientist @ NVIDIA
Schedule (all time CEST):
16:30 Optional pre-meetup intro training to pandas in Hungarian
18:00 Meetup starts
18:05 Welcome talk by Bence Arato
18:15 Modin talk
18:45 Vaex talk
19:15 cuDF talk
Our meetups are free, but this time we are also raising funds for NumFOCUS, a non-profit that helps sustain Python's scientific computing and data ecosystem. If you are using Python professionally then please consider buying a supporting ticket. Details and registration:
This is an English speaking event except the pre-meetup training session.