Binder for Reproducible Research¶

This final lesson is concerned with the topic of reproducibility. Nearly everyone agrees that reproducibility is an important principle for science: if results are not reproducible, they are not valid.

But how do we achieve reproducibility in practice? In computational / data science, a particular analysis, calculation, or notebook may depend on hundreds of different software packages, each with many different versions. Reproducibility of our results depends on having the correct version.

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