Jupyter Notebooks and Production Data Science Workflows - Andrew Therriault (City of Boston)
Jupyter notebooks are a great tool for exploratory analysis and early development, but what do you do when it's time to move to production? A few years ago, the obvious answer was to export to a pure Python script, but now there are other options. Andrew Therriault dives into real-world cases to explore alternatives for integrating Jupyter into production workflows. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: / oreillymedia Facebook: / oreilly Instagram: / oreillymedia LinkedIn: / 8459

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Using Jupyter’s Interactiveness to Build Better Predictive Models

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Jupyter: Kernels, Protocols, and the IPython Reference Implementation

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GraphRAG: The Marriage of Knowledge Graphs and RAG: Emil Eifrem

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Jupyter Notebooks Tutorial | How to use them & tips and tricks!

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Make Jupyter/IPython Notebook even more magical with cell magic extensions!

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