Top Tweets for #Pythran
#Pythran is an ahead of time compiler for a subset of the #Python language, with a focus on #ScientificComputing
https://t.co/zfC4szK8ut
#AI #DataScience #Analytics #DataAnalyisis #libatlas #numpy
Had a great time at #SciPy2021 yesterday, best virtual conference experience I've had so far!
Gave a talk together with Serge Guelton on using #Pythran in #SciPy to make it easier to write fast kernels, here are the slides if you're curious: https://t.co/p3k7yyKsd9.
1. #PyPy, #Numba, #Pythran & #Transonic with some changes in the original code improves performance remarkably.
2. Reduction in time to solution compensates for increased power requirement for multithreading.
Article: https://t.co/7M1naNq5Wx
Code:… https://t.co/89k7ful8iG
"Reducing the ecological impact of computing through education and Python compilers". Excellent read by @pierre_augier, @cfbolz, and Serge Guelton, in @nature.
Featuring the #Pythran open-source project!
https://t.co/NJpSgYj3oN
@ralfgommers @SirSayedAdel Do not hesitate to have a look at https://t.co/xSrzk8ZfKb. Not saying you should switch to it,but you could pick up ideas there. It is well maintained and used by #Xtensor #Pythran and #ApacheArrow.
@anthonypjshaw Oh, I was just working on a benchmark experiment on the n-body planets algorithm, in particular with Python implementations (using different accelerators/interpreters, #Transonic #Pythran @numba_jit @pypyproject), see https://t.co/nHLQOUbEkH
@condaforge @pypyproject @numba_jit ça se passe bien à Bordeaux la @pyconfr ?
Comme je ne peux finalement pas venir 😢 c'est Laura Mendoza @Lasofi 👍🙏 qui donnera la prés. sur #transonic, le nouveau paquet pour utiliser facilement les accélérateurs #Python #Numpy ! #Cython #Pythran @numba_jit
@asso_python_fr
Transonic 0.4.0 is on PyPI and @condaforge. Much better than the previous version https://t.co/USt0XK4M5T ! Easily accelerate #Python #NumPy code with @numba_jit #Pythran and #Cython. https://t.co/SY0qsZzTNR @pyfluiddyn
@ArvidGerstmann @JoshuaBarczak @jeffamstutz Check out #xsimd which is a high-level wrapper for SIMD intrinsics. It powers #xtensor's SIMD acceleration as well a #pythran's.
@SebAaltonen @zeuxcg @cyberkm @JoshuaBarczak You may be interested in checking out #xsimd and how it is used in #xtensor and #pythran for higher level code.
Excited to be talking tomorrow at @PyDataCambridge about #Cython, #Numba, #Pythran, three awesome libraries to speed up scientific Python code. Preliminary version of my slides available at https://t.co/PPwHAEuZhM …
We have just announced the PyData Cambridge 2nd Meetup! Check it out https://t.co/EHa6qYuK4D. Thanks to @Raspberry_Pi @enthought @NumFOCUS for the support.
Ever wanted to know how #Pythran interacts with #cython ? Check out last post by @adriengnt !
https://t.co/XDXeqVS5OF
First implementation in #fluidpythran of the cachedjit decorator to use #pythran with a (cached) JIT compilation!
https://t.co/rjF470s0Uy
#python #CPP
CC: @wuoulf @pyfluiddyn
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