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How to Accelerate an Existing Codebase with Numba | SciPy 2019 | Siu Kwan Lam, Stanley Seibert

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How to Accelerate an Existing Codebase with Numba | SciPy 2019 | Siu Kwan Lam, Stanley Seibert

24,916 views October 27, 2019 30:31

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If you have ever said to yourself "my code works, but it is too slow!" then this is the talk for you. We will describe best practices for applying the Numba just-in-time compiler to an existing project. This includes techniques for assessing whether Numba is appropriate for your use case, analyzing your program to identify where Numba can help, modifying your core algorithms to be Numba compatible, and understanding compiler errors. In addition, we'll discuss considerations for packaging and distribution of projects that depend on Numba.

See the full SciPy 2019 playlist at youtube.com/playlist?list=PLYx7XA2nY5GcDQblpQ_M…
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Enthought published this 30:31 video tutorial on October 27, 2019. It has been watched 24,916 times on YouTube.

Channel
Enthought
Duration
30:31
Published
October 27, 2019
Views
24,916
Likes
599

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