LTogliaUCV / python_data_pipeline

A Simple Pure Python Data Pipeline to process a Data Stream

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JupyterLab-Configuration

The JupyterLab-Configurator lets you easily create your JupyterLab configuration that runs JupyterLab in a container and automates the whole setup using scripts. A container is a separated environment that encapsulates the libraries you install in it without affecting your host computer. Scripts automate executing all the commands you would normally need to run manually. For you can review and edit scripts, you get full control of your configuration at any time.

Create your JupyterLab configuration:

  1. Create your configuration with a few clicks with the JupyterLab-Configurator
  2. Download and unzip your configuration
  3. Customize it to your needs (optional)

The following picture shows the JupyterLab configuration in action. Use it with two simple steps:

  1. Execute sh {path_to_your_project}/run.sh
  2. Open localhost:8888 from a browser
Using the JupyterLab configuration

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A Simple Pure Python Data Pipeline to process a Data Stream

License:MIT License


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Language:Python 74.8%Language:Jupyter Notebook 20.6%Language:Shell 3.6%Language:Dockerfile 1.0%