Conda/JupyterLab: Creating a Jupyter Kernel with conda environment¶

To create a new Jupyter kernel with a custom conda environment, follow the steps provided below.

On your DKubeX terminal, create a new conda environment with the default conda configuration.
```
conda create -n newenv
```
Note

You can also create a conda environment with custom Python version or custom packages installed. For more information, check the Conda documentation.
Activate the new conda environment.
```
conda activate newenv
```
Install ipykernel.
```
conda install ipykernel
```
Create the new Jupyter kernel with the following command. Replace the <kernel-name> part with the name of the new kernel.
```
ipython kernel install --user --name=<kernel-name>
```
(OPTIONAL) Deactivate the conda environment.
```
conda deactivate
```

Your new Jupyter kernel is now ready to use. You can use it by opening JupyterLab on your DKubeX workspace and opening a new Launcher.