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

PyData Ask Us Anything

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)
2:20pm–3:00pm Thursday, 02/19/2015
Ask Us Anything
Location: 211 B
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
Photo of Andreas Mueller

Andreas Mueller

NYU, scikit-learn

Andreas Mueller received his PhD in machine learning from the University of Bonn. After working as a machine learning researcher on computer vision applications at Amazon for a year, he recently joined the Center for Data Science at New York University. In the last four years, he has been maintainer and one of the core contributors of scikit-learn, a machine learning toolkit widely used in industry and academia, and author and contributor to several other widely-used machine learning packages. His mission is to create open tools to lower the barrier of entry for machine learning applications, promote reproducible science, and democratize access to high-quality machine learning algorithms.

Photo of Jennifer Klay

Jennifer Klay

Cal Poly San Luis Obispo

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.

Photo of Peter Wang

Peter Wang


Peter Wang is the cofounder and CTO of Anaconda, where he leads the product engineering team for the Anaconda platform and open source projects including Bokeh and Blaze. Peter’s been developing commercial scientific computing and visualization software for over 15 years and has software design and development experience across a broad variety of areas, including 3-D graphics, geophysics, financial risk modeling, large data simulation and visualization, and medical imaging. As a creator of the PyData conference, he also devotes time and energy to growing the Python data community by advocating, teaching, and speaking about Python at conferences worldwide. Peter holds a BA in physics from Cornell University.

Photo of Travis Oliphant

Travis Oliphant


Travis Oliphant has a Ph.D. from the Mayo Clinic and B.S. and M.S. degrees in Mathematics and Electrical Engineering from Brigham Young University. Since 1997, he has worked extensively with Python for numerical and scientific programming, most notably as the primary developer of the NumPy package, and as a founding contributor of the SciPy package. He is also the author of the definitive Guide to NumPy.

Travis was an assistant professor of Electrical and Computer Engineering at BYU from 2001-2007, where he taught courses in probability theory, electromagnetics, inverse problems, and signal processing. He also served as Director of the Biomedical Imaging Lab, where he researched satellite remote sensing, MRI, ultrasound, elastography, and scanning impedance imaging.

From 2007-2011, Travis was the president at Enthought, Inc. During his tenure there, the company grew from 15 to 50 employees, and Travis worked with well-known Fortune 50 companies in finance, oil-and-gas, and consumer-products. He was involved in all aspects of the contractual relationship, including consulting, training, code-architecture, and development.

As CEO of Continuum Analytics, Travis engages customers in finance, consumer products, and oil and gas, develops business strategy, and helps guide technical direction of the company. He actively contributes to software development and engages with the wider open source community in the Python ecosystem by serving as a director of the Python Software Foundation and past director of Numfocus.

Photo of Andy Terrel

Andy Terrel


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.

Photo of Matthew Rocklin

Matthew Rocklin


Matthew Rocklin is an open source software developer at Anaconda focusing on efficient computation and parallel computing, primarily within the Python ecosystem. He has contributed to many of the PyData libraries and today works on Dask, a framework for parallel computing. Matthew holds a PhD in computer science from the University of Chicago, where he focused on numerical linear algebra, task scheduling, and computer algebra.

Photo of Wes McKinney

Wes McKinney

Two Sigma Investments

Wes McKinney is a software architect at Two Sigma Investments. He is the creator of Python’s pandas library and a PMC member for Apache Arrow and Apache Parquet. He wrote the book Python for Data Analysis. Previously, Wes worked for Cloudera and was the founder and CEO of DataPad.

Stefan van der Walt

UC Berkeley

Stéfan van der Walt is a senior lecturer in applied mathematics at
Stellenbosch University, South Africa, and an associate project
scientist in the astronomy department at UC Berkeley. He has been
involved in the development of scientific open source software since
2003, and enjoys teaching Python at workshops and conferences. Stéfan
is the founder of scikit-image and a contributor to numpy, scipy and dipy.

Photo of Kyle Kelley

Kyle Kelley


Kyle Kelley is a senior software engineer at Netflix, a maintainer on, 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.

Photo of Jonathan Frederic

Jonathan Frederic


Jonathan is a full time IPython developer who primarily works on the IPython notebook front-end. In his spare time Jonathan enjoys developing a Python based video game engine and Poster, an open source HTML5 canvas based code editor.