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Working Securely with Jupyterby@ajtatey
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Working Securely with Jupyter

by Andy Tate11mOctober 11th, 2023
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Jupyter, the second most downloaded VS Code marketplace tool, is popular but poses security risks, especially when used locally. Storing data in CSV files on personal machines can breach data security standards like GDPR and expose data to attacks. JupyterHub offers a more secure alternative, but proper administration is essential. Using cloud-based alternatives like Deepnote, Google Colab, Hex, Amazon SageMaker, or Paperspace can enhance security by eliminating local data storage issues and providing better control over permissions and environments.
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Andy Tate

Andy Tate

@ajtatey

Developer & tech writer @ argot.dev

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Andy Tate@ajtatey
Developer & tech writer @ argot.dev

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