3min chapter

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#224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming

Lex Fridman Podcast

CHAPTER

NumPy

NumPy challenges you to reformulate your problem as a multi dimensional array problem versus like move away from scalars completely. The power of Python is this extensibility so that you can people say, oh, Python's so slow. You write all the logic which you do in the high level is just high level logic. And the actual calls you're making could be on gigabyte arrays of data and that's all done at compiled speeds.

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