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 ... ,conda install. noarch v0.3.0. To install this package with conda run one of the following: conda install -c numba numba-scipy ,Fast numba-accelerated versions of common statistical functions. copied from cf-staging / numba-stats · Conda · Files · Labels · Badges. ,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 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 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 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 |