Skip to main content
Make Data Work
Oct 15–17, 2014 • New York, NY
Kester Tong

Kester Tong
Software Engineer, Google

I am a software engineer at Google Research. I work on machine learning algorithms and infrastructure, and on a product for collaborative data analysis, coLaboratory.

Sessions

9:00am–5:00pm Wednesday, 10/15/2014
Data Science
Location: 1 E12/1 E13
Fernando Perez (Lawrence Berkeley National Laboratory and UC Berkeley), Brian Granger (Cal Poly San Luis Obispo), Andy Terrel (Bold Metrics), Peter Wang (Continuum Analytics), Jake Vanderplas (eScience Institute, University of Washington), Olivier Grisel (Inria & scikit-learn), Travis Oliphant (Continuum Analytics, Inc.), William McKinney (Cloudera), Trent Nelson (Continuum Analytics), Kayur Patel (Google), Kester Tong (Google)
Average rating: ****.
(4.43, 14 ratings)
Python has become an increasingly important part of the data engineer and analytic tool landscape. Pydata at Strata provides in-depth coverage of the tools and techniques gaining traction with the data audience, including iPython Notebook, NumPy/matplotlib for visualization, SciPy, scikit-learn, and how to scale Python performance, including how to handle large, distributed data sets. Read more.