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Accessing CSV or Amazon S3 data in a Jupyter Notebook

Last Updated: Nov 14, 2017 02:36PM CST

If your data is in CSV file, you may upload the CSV file to your Anaconda Enterprise Notebooks account using any of the following applications:  Notebook, JupyterLab or Workbench.

Data stored on Amazon S3 may be accessed directly from Anaconda Enterprise Notebooks using the Boto interface.

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