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Description:

Numba is an open-source NumPy-aware optimizing compiler for Python sponsored by Anaconda. It uses the LLVM compiler infrastructure to compile Python code to native machine code, making numerical and scientific Python code run at speeds approaching C or Fortran. This is a prebuilt binary package from PyPI wheels.

Homepage:

https://github.com/numba/numba https://pypi.org/project/numba/

License:

BSD-2

Versions

Metadata

Description

• Numba is an open-source NumPy-aware optimizing compiler for Python sponsored by Anaconda. It uses the LLVM compiler infrastructure to compile Python code to native machine code, making numerical and scientific Python code run at speeds approaching C or Fortran. This is a prebuilt binary package from PyPI wheels.
• Numba是一个由Anaconda赞助的开源NumPy感知Python优化编译器。它使用LLVM 编译器基础设施将Python代码编译为本机机器码，使数值和科学Python代码以 接近C或Fortran的速度运行。这是一个来自PyPI wheel的预构建二进制包。

Maintainers

• Huang Rui (vowstar@gmail.com) - Type: person

Upstream

• Remote IDs:
  • github: numba/numba
  • pypi: numba

<pkgmetadata>
	<maintainer type="person">
		<email>vowstar@gmail.com</email>
		<name>Huang Rui</name>
	</maintainer>
	<longdescription lang="en">
		Numba is an open-source NumPy-aware optimizing compiler for Python
		sponsored by Anaconda. It uses the LLVM compiler infrastructure to
		compile Python code to native machine code, making numerical and
		scientific Python code run at speeds approaching C or Fortran. This
		is a prebuilt binary package from PyPI wheels.
	</longdescription>
	<longdescription lang="zh">
		Numba是一个由Anaconda赞助的开源NumPy感知Python优化编译器。它使用LLVM
		编译器基础设施将Python代码编译为本机机器码，使数值和科学Python代码以
		接近C或Fortran的速度运行。这是一个来自PyPI wheel的预构建二进制包。
	</longdescription>
	<upstream>
		<remote-id type="github">numba/numba</remote-id>
		<remote-id type="pypi">numba</remote-id>
	</upstream>
</pkgmetadata>

Lint Warnings

• [Warning] Missing md5-cache for version 0.64.0. Run 'ebuild <ebuild_file> manifest' or 'egencache' to generate it.

Manifest