How to Install and Uninstall python38-fastnumbers Package on openSuSE Tumbleweed
Last updated: December 25,2024
Deprecated! Installation of this package may no longer be supported.
1. Install "python38-fastnumbers" package
This guide covers the steps necessary to install python38-fastnumbers on openSuSE Tumbleweed
$
sudo zypper refresh
Copied
$
sudo zypper install
python38-fastnumbers
Copied
2. Uninstall "python38-fastnumbers" package
This guide covers the steps necessary to uninstall python38-fastnumbers on openSuSE Tumbleweed:
$
sudo zypper remove
python38-fastnumbers
Copied
3. Information about the python38-fastnumbers package on openSuSE Tumbleweed
Information for package python38-fastnumbers:
---------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python38-fastnumbers
Version : 3.1.0-1.3
Arch : x86_64
Vendor : openSUSE
Installed Size : 107,9 KiB
Installed : No
Status : not installed
Source package : python-fastnumbers-3.1.0-1.3.src
Summary : Drop-in replacement for Python's int and float
Description :
fastnumbers is a Python module with three objectives:
1. To provide drop-in replacements for the Python built-in `int` and
`float` that, on average, are around 2x faster. These functions
should behave identically to the Python built-ins except for a few
specific corner-cases as mentioned in the API documentation.
2. To provide a set of convenience functions that wrap the above int
and float replacements and provide error handling.
3. To provide a set of functions that can be used to identify whether
an input could be converted to int or float.
---------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python38-fastnumbers
Version : 3.1.0-1.3
Arch : x86_64
Vendor : openSUSE
Installed Size : 107,9 KiB
Installed : No
Status : not installed
Source package : python-fastnumbers-3.1.0-1.3.src
Summary : Drop-in replacement for Python's int and float
Description :
fastnumbers is a Python module with three objectives:
1. To provide drop-in replacements for the Python built-in `int` and
`float` that, on average, are around 2x faster. These functions
should behave identically to the Python built-ins except for a few
specific corner-cases as mentioned in the API documentation.
2. To provide a set of convenience functions that wrap the above int
and float replacements and provide error handling.
3. To provide a set of functions that can be used to identify whether
an input could be converted to int or float.