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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 \\u201cbefore open-source was cool,\\u201d and their lessons for today\\u2019s open-source landscape.

In this episode we discuss:

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• How biomedical engineering, MRIs, and an unhappy tenure committee led to NumPy and SciPy
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• Overcoming early challenges of distribution with Python
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• What Travis would have done differently when he wrote NumPy
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• Successfully solving the \\u201ctwo-option split\\u201d by adding a third option
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• Community-driven open-source interacting with company-backed open-source
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Links:

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• NumPy
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• SciPy
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• Anaconda
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• Quansight
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• Conda
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• Matplotlib
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• Enthought
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• TensorFlow
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• PyTorch
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• MXNet
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• PyPi
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• Jupyter
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• pandas
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People mentioned:

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

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• TensorFlow with Rajat Monga
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