Training module on data visualization using Python tools
For this tutorial, we will use two different datasets.
We will use this dataset solely to illustrate certain theoretical concepts. Downloading this dataset is therefore optional.
To download the data:
https://www.kaggle.com/code/tombutton/datasaurus-dozen/input
We will download this dataset using nilearn. Follow the instructions in the notebook.
In your terminal:
- Install the dependencies in your virtual environment
conda env create -f environment.ymlIn your terminal:
- Install
uv
curl -LsSf https://astral.sh/uv/install.sh | sh- Check
uvinstallation
uv -h- Create a virtual environment
uv venv visu-env --python=3.10- Activate your environment
source visu-env/bin/activate- Install the dependencies
uv pip install -r requirements.txtIn your terminal:
python -m ipykernel install --user --name=visu-env --display-name "bhs_visu"