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

Andy Terrel
President, NumFOCUS

Website | @aterrel

Andy Terrel is president of NumFOCUS. He is also the chief data scientist of REX Real Estate, where he brings his experience building smart, scalable data systems to the real estate industry. A data architect, computational scientist, and technical leader, Andy is a passionate advocate for open source scientific codes and has been involved in the wider scientific Python community since 2006, contributing to numerous projects in the scientific stack.

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.