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authorPo-Chuan Hsieh <sunpoet@FreeBSD.org>2021-09-21 03:06:10 +0000
committerPo-Chuan Hsieh <sunpoet@FreeBSD.org>2021-09-21 03:35:08 +0000
commitcc7cd6a77051deb9e9b11bcab369a264d8529250 (patch)
tree8a33406e76d4db498c24bb419b2c0fecdf4add18 /math/py-rvlib/pkg-descr
parent4074909b340a6e5e337de0584901378e341b0a2e (diff)
downloadports-cc7cd6a77051deb9e9b11bcab369a264d8529250.tar.gz
ports-cc7cd6a77051deb9e9b11bcab369a264d8529250.zip
math/py-rvlib: Add py-rvlib 0.0.5
Anyone who has used Distributions.jl will tell you how nice the interface is relative to the "exotic" (the most polite word we can think of) interface to distributions exposed by scipy.stats. Distributions.jl also brings better performace, particularly when its methods are used inside loops. For these reason we've put together rvlib, which mimics the interface of Distributions.jl, while at the same time attaining similar performance by exploiting numba. This package was inspired by Joshua Adelman's (@synapticarbors) blog post describing how to call the Rmath C library from numba using CFFI, and utilizes his build script to set up the CFFI interface. WWW: https://github.com/QuantEcon/rvlib
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+Anyone who has used Distributions.jl will tell you how nice the interface is
+relative to the "exotic" (the most polite word we can think of) interface to
+distributions exposed by scipy.stats. Distributions.jl also brings better
+performace, particularly when its methods are used inside loops.
+
+For these reason we've put together rvlib, which mimics the interface of
+Distributions.jl, while at the same time attaining similar performance by
+exploiting numba.
+
+This package was inspired by Joshua Adelman's (@synapticarbors) blog post
+describing how to call the Rmath C library from numba using CFFI, and utilizes
+his build script to set up the CFFI interface.
+
+WWW: https://github.com/QuantEcon/rvlib