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Dockerized Jupyter Lab environment to explore new datasets

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Brekke-Green/notebook_tool

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Notebook_tool

This is a containerized Jupyter Lab environment used for quick data investigation setup with Python. It's built with the official jupyter docker image and comes with pandas and numpy packages installed.

Usage:

With docker installed and running execute: $make start on the terminal. Once the command has finished (this may take a few minutes on the first execution), open the link from the output in your browser to access your Jupyter Lab environment. Create a data/ directory and place your data files inside. Create a notebook/ directory for your notebooks.

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Dockerized Jupyter Lab environment to explore new datasets

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