Jovan Veljanoski
Jovan is a senior data scientists & researcher at XebiaLabs, where he creates predictive models related to DevOps pipelines. Working mostly with Python in the Jupyter ecosystem, he has considerable experience in clustering analysis and predictive modeling. Jovan has a PhD in Astrophysics, is a co-founder of vaex.io, and is interested in novel machine learning technologies and applications.
XebiaLabs
Sessions
09-04
12:00
30min
Modern Data Science: A new approach to DataFrames and pipelines
Jovan Veljanoski, Maarten Breddels
We will demonstrate how to explore and analyse massive datasets (>150GB) on a laptop with the Vaex library in Python. Using computational graphs, efficient algorithms and storage (Apache Arrow / hdf5) Vaex can easily handle up to a billion rows.
Track 1 (Mitxelena)