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2.4.5 Summary

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In this section, we have seen how Jupyter notebooks can be used to create dynamic documents with embedded code. These notebooks facilitate intuitive knowledge transfer, helping you to convey complex scientific and mathematical concepts with the aid of executable code and interactive visualisations. For more information, and to see further examples of what can be achieved with Jupyter notebooks, please visit the Jupyter website at: jupyter.org

Deep Learning for Physical Scientists

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