Numba, conda
The easiest way to install Numba and get updates is by using conda , a cross-platform package manager and software distribution maintained by Anaconda, ... ,To install this package with conda run one of the following: conda install -c numba numba conda install -c numba/label/ci numba ,Numba is an Open Source NumPy-aware optimizing compiler for Python sponsored by Anaconda, Inc. It uses the remarkable LLVM compiler infrastructure to ... ,Fast numba-accelerated versions of common statistical functions. copied from cf-staging / numba-stats · Conda · Files · Labels · Badges. ,conda install. noarch v0.3.0. To install this package with conda run one of the following: conda install -c numba numba-scipy ,numba, None, a just-in-time Python function compiler based on LLVM, 2021-11-25. numpy, public, Array processing for numbers, strings, records, and objects.
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 Numba, conda 相關參考資料
Installation — Numba 0.50.1 documentation
The easiest way to install Numba and get updates is by using conda , a cross-platform package manager and software distribution maintained by Anaconda, ... https://numba.pydata.org Numba - :: Anaconda.org
To install this package with conda run one of the following: conda install -c numba numba conda install -c numba/label/ci numba https://anaconda.org Numba :: Anaconda.org
Numba is an Open Source NumPy-aware optimizing compiler for Python sponsored by Anaconda, Inc. It uses the remarkable LLVM compiler infrastructure to ... https://anaconda.org Numba Stats - :: Anaconda.org
Fast numba-accelerated versions of common statistical functions. copied from cf-staging / numba-stats · Conda · Files · Labels · Badges. https://anaconda.org Numba Scipy - :: Anaconda.org
conda install. noarch v0.3.0. To install this package with conda run one of the following: conda install -c numba numba-scipy https://anaconda.org Package repository for numba - :: Anaconda.org
numba, None, a just-in-time Python function compiler based on LLVM, 2021-11-25. numpy, public, Array processing for numbers, strings, records, and objects. https://anaconda.org |