How to Install and Uninstall python310-numba Package on openSuSE Tumbleweed
Last updated: December 29,2024
1. Install "python310-numba" package
This tutorial shows how to install python310-numba on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python310-numba
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2. Uninstall "python310-numba" package
Please follow the step by step instructions below to uninstall python310-numba on openSuSE Tumbleweed:
$
sudo zypper remove
python310-numba
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3. Information about the python310-numba package on openSuSE Tumbleweed
Information for package python310-numba:
----------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python310-numba
Version : 0.59.0-3.1
Arch : x86_64
Vendor : openSUSE
Installed Size : 22.9 MiB
Installed : No
Status : not installed
Source package : python-numba-0.59.0-3.1.src
Upstream URL : https://numba.pydata.org/
Summary : NumPy-aware optimizing compiler for Python using LLVM
Description :
Numba is a NumPy-aware optimizing compiler for Python. It uses the
LLVM compiler infrastructure to compile Python syntax to
machine code.
It is aware of NumPy arrays as typed memory regions and so can speed-up
code using NumPy arrays. Other, less well-typed code will be translated
to Python C-API calls, effectively removing the "interpreter", but not removing
the dynamic indirection.
Numba is also not a tracing JIT. It *compiles* your code before it gets
run, either using run-time type information or type information you provide
in the decorator.
Numba is a mechanism for producing machine code from Python syntax and typed
data structures such as those that exist in NumPy.
----------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python310-numba
Version : 0.59.0-3.1
Arch : x86_64
Vendor : openSUSE
Installed Size : 22.9 MiB
Installed : No
Status : not installed
Source package : python-numba-0.59.0-3.1.src
Upstream URL : https://numba.pydata.org/
Summary : NumPy-aware optimizing compiler for Python using LLVM
Description :
Numba is a NumPy-aware optimizing compiler for Python. It uses the
LLVM compiler infrastructure to compile Python syntax to
machine code.
It is aware of NumPy arrays as typed memory regions and so can speed-up
code using NumPy arrays. Other, less well-typed code will be translated
to Python C-API calls, effectively removing the "interpreter", but not removing
the dynamic indirection.
Numba is also not a tracing JIT. It *compiles* your code before it gets
run, either using run-time type information or type information you provide
in the decorator.
Numba is a mechanism for producing machine code from Python syntax and typed
data structures such as those that exist in NumPy.