How to Install and Uninstall python3-fastnumbers Package on openSUSE Leap
Last updated: November 23,2024
1. Install "python3-fastnumbers" package
Please follow the guidelines below to install python3-fastnumbers on openSUSE Leap
$
sudo zypper refresh
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$
sudo zypper install
python3-fastnumbers
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2. Uninstall "python3-fastnumbers" package
Please follow the guidelines below to uninstall python3-fastnumbers on openSUSE Leap:
$
sudo zypper remove
python3-fastnumbers
Copied
3. Information about the python3-fastnumbers package on openSUSE Leap
Information for package python3-fastnumbers:
--------------------------------------------
Repository : Main Repository
Name : python3-fastnumbers
Version : 3.1.0-bp155.2.13
Arch : x86_64
Vendor : openSUSE
Installed Size : 101.1 KiB
Installed : No
Status : not installed
Source package : python-fastnumbers-3.1.0-bp155.2.13.src
Upstream URL : https://github.com/SethMMorton/fastnumbers
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 : Main Repository
Name : python3-fastnumbers
Version : 3.1.0-bp155.2.13
Arch : x86_64
Vendor : openSUSE
Installed Size : 101.1 KiB
Installed : No
Status : not installed
Source package : python-fastnumbers-3.1.0-bp155.2.13.src
Upstream URL : https://github.com/SethMMorton/fastnumbers
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.