1
Set up Virtual Environment
Create a Python virtual environment using venv or conda to isolate dependencies.
2
Install Nilearn
Run 'pip install nilearn' to install the latest stable release.
3
Load Nilearn
Import the package in a Python session or Jupyter notebook with 'import nilearn'.
4
Access Built-in Datasets
Use Nilearn's helper functions to download and load preprocessed neuroimaging datasets for practice.
5
Consult Documentation and Community
Refer to the official user guide and API references; participate in weekly drop-in hours for support.