Presented By O'Reilly and Cloudera
Make Data Work
Feb 17–20, 2015 • San Jose, CA
Kyle Kelley

Kyle Kelley
Software Developer, Netflix

Website | @rgbkrk

Kyle Kelley is a senior software engineer at Netflix, a maintainer on nteract.io, and a core developer of the IPython/Jupyter project. He wants to help build great environments for collaborative analysis, development, and production workloads for everyone, from small teams to massive scale.

Sessions

9:00am–5:00pm Wednesday, 02/18/2015
Data Science
Location: LL21 B
Andreas Mueller (NYU, scikit-learn), Jennifer Klay (Cal Poly San Luis Obispo), Peter Wang (Anaconda), Travis Oliphant (Anaconda), Andy Terrel (NumFOCUS), Matthew Rocklin (Anaconda), Wes McKinney (Two Sigma Investments), Stefan van der Walt (UC Berkeley), Jonathan Frederic (IPython), Kyle Kelley (Netflix)
Average rating: ****.
(4.62, 8 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.
2:20pm–3:00pm Thursday, 02/19/2015
Ask Us Anything
Location: 211 B
Andreas Mueller (NYU, scikit-learn), Jennifer Klay (Cal Poly San Luis Obispo), Peter Wang (Anaconda), Travis Oliphant (Anaconda), Andy Terrel (NumFOCUS), Matthew Rocklin (Anaconda), Wes McKinney (Two Sigma Investments), Stefan van der Walt (UC Berkeley), Kyle Kelley (Netflix), Jonathan Frederic (IPython)
Average rating: *****
(5.00, 1 rating)
Join the presenters of the PyData Tutorials for further discussions on some of the most used tools in the Python data stack. This is a great opportunity to ask questions and share insight with those who have authored or contributed to: * scikit-learn * NumPy * Bokeh * IPython * Numba * Blaze * pandas * scikit-image Read more.
4:50pm–5:30pm Thursday, 02/19/2015
Data Science
Location: LL20 A
Brian Granger (Cal Poly San Luis Obispo), Fernando Perez (UC Berkeley and Lawrence Berkeley National Laboratory), Kyle Kelley (Netflix)
Average rating: ****.
(4.00, 7 ratings)
The Jupyter/IPython Notebook is a web-based interactive computing platform for Data Science in Python, Julia, R and other languages. In this talk we will describe our recent work to bring the Notebook to larger groups of users, both on the open web and within organizations. The focus will be on new collaboration features and deploying the Notebook in these contexts. Read more.