Enhancing Human Interpretability in Numerical Arrays

Travis Oliphant is a data scientist, entrepreneur, and creator of NumPy, SciPy, and Anaconda. Please support this podcast by checking out our sponsors:
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EPISODE LINKS:
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NumPy: https://numpy.org/
SciPy: https://scipy.org/about.html
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OUTLINE:
Here’s the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time.
(00:00) – Introduction
(07:06) – Early programming
(28:47) – SciPy
(45:41) – Open source
(57:23) – NumPy
(1:34:39) – Guido van Rossum
(1:46:57) – Efficiency
(1:55:49) – Objects
(2:02:47) – Numba
(2:11:53) – Anaconda
(2:16:20) – Conda
(2:31:56) – Quansight Labs
(2:35:32) – OpenTeams
(2:43:05) – GitHub
(2:48:35) – Marketing
(2:53:13) – Great programming
(3:04:03) – Hiring
(3:08:01) – Advice for young people