Eric Anderson (@ericmander) and Travis Oliphant (@teoliphant) take a far-reaching tour through the history of the Python data community. Travis has had a hand in the creation of many open-source projects, most notably the influential libraries, NumPy and SciPy, which helped cement Python as the standard for scientific computing. Join us for the story of a fledgling community from a time “before open-source was cool,” and their lessons for today’s open-source landscape.
In this episode we discuss:

How biomedical engineering, MRIs, and an unhappy tenure committee led to NumPy and SciPy
Overcoming early challenges of distribution with Python
What Travis would have done differently when he wrote NumPy
Successfully solving the “two-option split” by adding a third option
Community-driven open-source interacting with company-backed open-source


Links:

NumPy
SciPy
Anaconda
Quansight
Conda
Matplotlib
Enthought
TensorFlow
PyTorch
MXNet
PyPi
Jupyter
pandas


People mentioned:

Guido van Rossum (@gvanrossum)
Robert Kern (Github: @rkern)
Pearu Peterson (Github: @pearu)
Wes McKinney (@wesmckinn)
Charles Harris (Github: @charris)
Francesc Alted (@francescalted)
Fernando Perez (@fperez_org)
Brian Granger (@ellisonbg)


Other episodes:

TensorFlow with Rajat Monga

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