Installing Betanin from GitHub on NixOS Latest

Betanin is a Python library for Bayesian network inference that uses Monte Carlo Markov chains. It is available on GitHub and can be installed on NixOS Latest using the following steps:

Step 1: Install Git

Before we get started with the installation, make sure that Git is installed on your system. To check if Git is already installed, run the following command:

$ git --version

If Git is not installed, run the following command to install it:

$ sudo nix-env -i git

Step 2: Clone the Betanin repository

Now, we need to clone the Betanin repository from GitHub. Run the following command to do so:

$ git clone https://github.com/sentriz/betanin.git

This will create a folder named "betanin" in your current working directory.

Step 3: Install Betanin dependencies

Betanin has several dependencies that must be installed before we can use it. We can use the default.nix file provided by Betanin to do this. Run the following commands:

$ cd betanin
$ nix-shell

This will create a Nix shell and install all dependencies required to use Betanin.

Step 4: Install Betanin

After installing the dependencies, we can now install Betanin itself. Run the following commands:

$ python setup.py build
$ python setup.py install

This will build and install Betanin on your system.

Step 5: Test Betanin

Once Betanin is installed, you can test it by running the example code provided in the examples folder. Run the following command to execute the example code:

$ python examples/simple.py

If Betanin is working correctly, you should see some output in your terminal.

Conclusion

In this tutorial, we have seen how to install Betanin from GitHub on NixOS Latest. Git, Betanin dependencies, and Betanin itself were all installed using the command line interface. You can now use Betanin in your Python projects.

If you want to self-host in an easy, hands free way, need an external IP address, or simply want your data in your own hands, give IPv6.rs a try!

Alternatively, for the best virtual desktop, try Shells!