How to Install and Uninstall python3-Cython.x86_64 Package on Red Hat Enterprise Linux 9 (RHEL 9)

Last updated: October 05,2024

1. Install "python3-Cython.x86_64" package

This guide let you learn how to install python3-Cython.x86_64 on Red Hat Enterprise Linux 9 (RHEL 9)


    
        
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                sudo dnf update
            
                    
    
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                sudo dnf install
            
                        
                python3-Cython.x86_64
            
                    
    
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2. Uninstall "python3-Cython.x86_64" package

Please follow the guidance below to uninstall python3-Cython.x86_64 on Red Hat Enterprise Linux 9 (RHEL 9):


    
        
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                sudo dnf remove
            
                        
                python3-Cython.x86_64
            
                    
    
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                sudo dnf autoremove
            
                    
    
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3. Information about the python3-Cython.x86_64 package on Red Hat Enterprise Linux 9 (RHEL 9)

Last metadata expiration check: 2:15:38 ago on Mon Feb 26 07:04:30 2024.
Available Packages
Name : python3-Cython
Version : 0.29.22
Release : 7.el9
Architecture : x86_64
Size : 2.2 M
Source : Cython-0.29.22-7.el9.src.rpm
Repository : ubi-9-codeready-builder
Summary : Language for writing Python extension modules
URL : http://www.cython.org
License : ASL 2.0
Description : The Cython language makes writing C extensions for the Python language as easy
: as Python itself. Cython is a source code translator based on Pyrex,
: but supports more cutting edge functionality and optimizations.
:
: The Cython language is a superset of the Python language (almost all Python
: code is also valid Cython code), but Cython additionally supports optional
: static typing to natively call C functions, operate with C++ classes and
: declare fast C types on variables and class attributes.
: This allows the compiler to generate very efficient C code from Cython code.
:
: This makes Cython the ideal language for writing glue code for external C/C++
: libraries, and for fast C modules that speed up the execution of Python code.