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Jupyter-Scala-Spark Trial

Prerequisites

Docker must be installed.

Installation

  • Clone this repository
  • Run either run.sh (Linux or MacOSX) or run.bat (Windows)

When running you will see the following status

Executing the command: jupyter notebook
[I 15:13:57.376 NotebookApp] JupyterLab extension loaded from /opt/conda/lib/python3.7/site-packages/jupyterlab
[I 15:13:57.376 NotebookApp] JupyterLab application directory is /opt/conda/share/jupyter/lab
[I 15:13:57.378 NotebookApp] Serving notebooks from local directory: /home/jovyan
[I 15:13:57.378 NotebookApp] The Jupyter Notebook is running at:
[I 15:13:57.378 NotebookApp] http://(3313c5d8df30 or 127.0.0.1):8888/?token=e38c29ce9c164764637b13c576a4cbd683d8bcc5ea64746d
[I 15:13:57.379 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
[C 15:13:57.390 NotebookApp] 
    
    To access the notebook, open this file in a browser:
        file:///home/jovyan/.local/share/jupyter/runtime/nbserver-6-open.html
    Or copy and paste one of these URLs:
        http://(3313c5d8df30 or 127.0.0.1):8888/?token=e38c29ce9c164764637b13c576a4cbd683d8bcc5ea64746d
  • Open the Jupyter Notebook using that token on 127.0.0.1. For example, the above shows that the Jupyter notebook is available at http://(3313c5d8df30 or 127.0.0.1):8888/?token=e38c29ce9c164764637b13c576a4cbd683d8bcc5ea64746d so open in your browser http://localhost:8888/?token=e38c29ce9c164764637b13c576a4cbd683d8bcc5ea64746d
  • Open any of the notebooks in the notebooks folder from within Jupyter and run the cells using CTRL + ENTER

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