How to Install and Uninstall python310-tinyarray Package on openSuSE Tumbleweed
Last updated: December 26,2024
1. Install "python310-tinyarray" package
Please follow the step by step instructions below to install python310-tinyarray on openSuSE Tumbleweed
$
sudo zypper refresh
Copied
$
sudo zypper install
python310-tinyarray
Copied
2. Uninstall "python310-tinyarray" package
In this section, we are going to explain the necessary steps to uninstall python310-tinyarray on openSuSE Tumbleweed:
$
sudo zypper remove
python310-tinyarray
Copied
3. Information about the python310-tinyarray package on openSuSE Tumbleweed
Information for package python310-tinyarray:
--------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python310-tinyarray
Version : 1.2.4-2.6
Arch : x86_64
Vendor : openSUSE
Installed Size : 141.0 KiB
Installed : No
Status : not installed
Source package : python-tinyarray-1.2.4-2.6.src
Upstream URL : https://gitlab.kwant-project.org/kwant/tinyarray
Summary : Arrays of numbers for Python, optimized for small sizes
Description :
Tinyarrays are similar to NumPy arrays, but optimized for small sizes.
Tinyarrays support mathematical operations like element-wise addition
and matrix multiplication. Tinyarrays can be used as dictionary keys
because they are hashable and immutable. Tinyarrays are useful if you
need many small arrays of numbers, and cannot combine them into a few
large ones. Common operations on very small arrays are faster than
with NumPy, and less memory is used to store them.
--------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python310-tinyarray
Version : 1.2.4-2.6
Arch : x86_64
Vendor : openSUSE
Installed Size : 141.0 KiB
Installed : No
Status : not installed
Source package : python-tinyarray-1.2.4-2.6.src
Upstream URL : https://gitlab.kwant-project.org/kwant/tinyarray
Summary : Arrays of numbers for Python, optimized for small sizes
Description :
Tinyarrays are similar to NumPy arrays, but optimized for small sizes.
Tinyarrays support mathematical operations like element-wise addition
and matrix multiplication. Tinyarrays can be used as dictionary keys
because they are hashable and immutable. Tinyarrays are useful if you
need many small arrays of numbers, and cannot combine them into a few
large ones. Common operations on very small arrays are faster than
with NumPy, and less memory is used to store them.