Jarrod Millman
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SciPy India 2015 Talk

I gave a talk called Python for Statisticians at SciPy India 2015.

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SciPy India 2015 Tutorials

Prabhu Ramachandran and I gave the introductory tutorial at SciPy India 2015. Here are the slides for session 1, session 2, session 3, and session 4. And here is the pendulum.txt and bird.png files used in the tutorial.

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permute—a Python package for permutation tests and confidence sets

Philip B. Stark, Kellie Ottoboni, Stéfan van der Walt, and I are developing a permutation testing library for Python. The source code is available here. More information about the package is available in my MA thesis.

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Teaching computational thinking and practice

A minisymposium held during the SIAM Conference on Computational Science & Engineering in Salt Lake City, UT on Sunday, March 15, 2015.

MS78

Summary

As dependence on computational tools increases, so does the need for better computational training. We discuss our own efforts to provide such training. We address several larger ...

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Developing open source scientific practice

Fernando Pérez and my chapter titled "Developing open source scientific practice" was just published in "Implementing Reproducible Research (Chapman & Hall/CRC The R Series)" edited by Victoria Stodden, Friedrich Leisch, and Roger D. Peng. You can find a preprint on the Open Science Framework (OSF) website along with the other ...

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Reproducibility and computationally intensive, data-driven research

A mini-symposium at the SIAM Conference on Computational Science & Engineering in Boston, MA on February 28, 2013.

Summary

Since Jon Claerbout adopted and started promoting reproducible research practices much has changed. While the problems for reproducibility of computational results have grown in conjunction with increases in computing power and storage ...

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Verifiable, reproducible research and computational science

A mini-symposium at the SIAM Conference on Computational Science & Engineering in Reno, NV on March 4, 2011.

Summary

As research grows increasingly dependent on computing, it becomes critical for our computational resources to be developed with the same rigor, open review and access as the results they support. In this ...

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Python for Scientists and Engineers

Michael Aivazis and I guest edited the March/April 2011 special issue of Computing in Science and Engineering on Python for Scientists and Engineers.

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Open Research Computing in Python

A one-day workshop on held at the Mathematical Sciences Research Institute (MSRI) in on June 25, 2010 in Berkeley, CA.

  • 09:00-09:10 Welcome Jarrod Millman and William Stein
  • 09:10-10:10 What to demand from a Scientific Computing Language -- Even if you don't care about computing or languages ...
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