How to Install and Uninstall python3-autograd.noarch Package on Fedora 36

Last updated: May 02,2024

1. Install "python3-autograd.noarch" package

Please follow the instructions below to install python3-autograd.noarch on Fedora 36


    
        
            $
        

        
            
                sudo dnf update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf install
            
                        
                python3-autograd.noarch
            
                    
    
    Copied

2. Uninstall "python3-autograd.noarch" package

This tutorial shows how to uninstall python3-autograd.noarch on Fedora 36:


    
        
            $
        

        
            
                sudo dnf remove
            
                        
                python3-autograd.noarch
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf autoremove
            
                    
    
    Copied

3. Information about the python3-autograd.noarch package on Fedora 36

Last metadata expiration check: 1:09:37 ago on Thu Sep 8 02:05:26 2022.
Available Packages
Name : python3-autograd
Version : 1.3
Release : 13.fc36
Architecture : noarch
Size : 117 k
Source : python-autograd-1.3-13.fc36.src.rpm
Repository : fedora
Summary : Efficiently computes derivatives of numpy code
URL : https://github.com/HIPS/autograd
License : MIT
Description : Autograd can automatically differentiate native Python and Numpy code. It can
: handle a large subset of Python's features, including loops, ifs, recursion and
: closures, and it can even take derivatives of derivatives of derivatives. It
: supports reverse-mode differentiation (a.k.a. backpropagation), which means it
: can efficiently take gradients of scalar-valued functions with respect to
: array-valued arguments, as well as forward-mode differentiation, and the two
: can be composed arbitrarily. The main intended application of Autograd is
: gradient-based optimization.