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Setup Jupyter tutorial#

Setup course material#

Follow this instructions only if you start the course at this stage! Otherwise skip this step! 
This tutorial depends on files from the course GitHub repo. Please follow these instructions 
on how to set it up if you haven't done so already.  
Let's create a directory and clone the course GitHub repo.

```bash
mkdir -p  ~/training-reproducible-research-area
cd ~/training-reproducible-research-area
git clone https://github.com/SouthGreenPlatform/training_reproducible_research
```

Setup environment#

First let's create a dedicated folder for this tutorial:

mkdir -p  ~/training-reproducible-research-area/jupyter
cd ~/training-reproducible-research-area/jupyter
cp -r ~/training-reproducible-research-area/training_reproducible_research/tutorials/jupyter/* .

Let's continue using Conda for installing software, since it's so convenient to do so! Create a Conda environment from the environment.yml file and test the installation of Jupyter, like so:

conda env create -f environment.yml -n jupyter-env
conda activate jupyter-env