软件包：python3-numba（0.59.0+dfsg-2）

[ 源代码： numba  ]

native machine code compiler for Python 3

Numba compiles native machine code instructions from Python programs at runtime using the LLVM compiler infrastructure. It could be easily employed by decorating individual computation intensive functions in the Python code. Numba could significantly speed up the performance of computations, and optionally supports compilation to run on GPU processors through Nvidia's CUDA platform. It integrates well with the Python scientific software stack, and especially recognizes Numpy arrays.

This package contains the modules for Python 3.

其他与 python3-numba 有关的软件包

• dep: libc6 (>= 2.34)

  GNU C 语言运行库：共享库
  同时作为一个虚包由这些包填实： libc6-udeb

• dep: libgcc-s1 (>= 3.0) [除 armel, armhf]

  GCC 支持库

  dep: libgcc-s1 (>= 3.5) [armel, armhf]

• dep: libgomp1 (>= 4.9)

  GCC OpenMP（GOMP）支持库

• dep: libstdc++6 (>= 13.1)

  GNU 标准 C++ 库，第3版

• dep: libtbb12 (>= 2021.11.0) [除 amd64]

  parallelism library for C++ - runtime files

  dep: libtbb12 (>= 2021.4.0) [amd64]

• dep: python3

  交互式高级面向对象语言（默认 python3 版本）

  dep: python3 (<< 3.13)

  dep: python3 (>= 3.11~)

• dep: python3-llvmlite (>= 0.42~)

  LLVM Python 3 binding for writing JIT compilers

• dep: python3-numpy (>= 1:1.25.0)

  Fast array facility to the Python language (Python 3)

• dep: python3-numpy-abi9

  本虚包由这些包填实： python3-numpy

• dep: python3-scipy

  scientific tools for Python 3

• rec: numba-doc

  native machine code compiler for Python (docs)

• rec: python3-pip

  Python package installer

• sug: nvidia-cuda-toolkit

  NVIDIA CUDA development toolkit

下载 python3-numba

下载可用于所有硬件架构的

硬件架构	软件包大小	安装后大小	文件
amd64	1,724.3 kB	12,057.0 kB	[文件列表]
arm64	1,715.0 kB	13,105.0 kB	[文件列表]
armel	1,704.0 kB	11,841.0 kB	[文件列表]
armhf	1,700.1 kB	11,657.0 kB	[文件列表]
i386	1,727.3 kB	12,063.0 kB	[文件列表]
mips64el	1,716.3 kB	13,554.0 kB	[文件列表]
ppc64 （非官方移植版）	1,735.5 kB	13,365.0 kB	[文件列表]
ppc64el	1,733.3 kB	13,235.0 kB	[文件列表]
s390x	1,719.1 kB	12,061.0 kB	[文件列表]