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

Jennifer Klay
Associate Professor of Physics, Cal Poly San Luis Obispo

Website

Jennifer Klay is an Associate Professor of Physics at Cal Poly San Luis Obispo. She has worked with big data at the CERN Large Hadron Collider’s ALICE experiment for 17 years, unlocking the secrets of the early Universe by colliding heavy nuclei at the highest energies available in the lab. She developed an introductory computational science course using the IPython notebook with the NumPy/SciPy codebase to teach data analysis and numerical methods for students in the physical sciences.

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.