Travis Oliphant, creator of NumPy and SciPy, traces how he built the foundations of scientific Python and the economics of open source.

Travis Oliphant — Creator of NumPy and SciPy and co-founder of Anaconda, he built the array and scientific-computing libraries that underpin most of Python data science and machine learning. A former biomedical-engineering professor turned open-source entrepreneur, he now runs Quansite and OpenTeams.
Travis Oliphant tells the story of how a poor graduate student scratching his own itch ended up creating the libraries that power modern scientific Python. He walks through writing SciPy in 1998-2001, unifying the fractured array community by writing NumPy in four months, and later founding Anaconda and conda to solve Python's packaging problem. Throughout, he wrestles with a question that has driven him for 25 years: how to reconcile the cooperative ethos of open source with the need to make a living, leading him deep into economics and entrepreneurship. He closes with hard-won advice on programming, hiring, marketing, and building rather than destroying.
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Travis Oliphant
“so i wrote a book and i said i'm going to write a book and i'm going to charge for it it was called guide to numpy” — Travis Oliphant 01:11:44Find it on Amazon
Ludwig von Mises
“he wrote a pre-order paper in 1920 that still should be read more than it is it's got i mean it was the economic calculation problem of the socialist commonwealth” — Travis Oliphant 00:43:18Find it on Amazon