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Analyzed 2 days ago. based on code collected 2 days ago.

Project Summary

Optimized numerical computation using Continuum's Numba. Intended as a drop-in replacement for numerical functions in numpy, scipy, or builtins. Provides strong performance boosts.

Inputs use numpy arrays. Using other formats like lists, or pandas Dataframes will adversely affect speed. Rough/early release - Open to suggestions and bug reports.

Tags

builtins jit jit_compile math numba numerical numpy optimization optimized_numerical_computations python scipy

In a Nutshell, Brisk: Applied Numba...

This Project has No vulnerabilities Reported Against it

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30 Day Summary

Sep 26 2021 — Oct 26 2021

12 Month Summary

Oct 26 2020 — Oct 26 2021

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