Using Fairspec Python in Jupyter Notebooks

Updated May 16, 2026

For data scientists and data engineers, Jupyter Notebooks provide a powerful and flexible environment for exploring, visualizing, and analyzing data.

Installation

1. Install Jupyter: pip install jupyterlab - Installs Jupyter Notebook, a web-based interactive computing environment for data science and data engineering. You can use another UI such as Jupyter CLI or Jupyter Desktop.

2. Install Fairspec: pip install fairspec - Installs the Fairspec Python framework and all its dependencies.

Usage

1. Run Jupyter Notebooks: jupyter-lab - Launches the Jupyter Notebook server in the current working directory, which allows you to create and run Jupyter notebooks.

2. Select Python Kernel in Notebook: Choose the Python kernel from your notebook's kernel selection menu. VS Code users may need to install the default Jupyter kernel extensions.

References

• Jupyter Documentation
• JupyterLab Documentation