Python
Reproducible Science: Validating Notebook Outputs with nbval
Reproducibility is the foundation of scientific computing. A notebook that produces a result should produce the same result when re-executed—same inputs, same code, same environment. nbval enforces this by re-running a notebook and comparing each cell's output to the recorded output in the .ipynb file. Any difference