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This will be an introduction to Jupyter Notebooks. They are widely used in science and industry for a reason, they are super useful and collaborative by nature.

For analysis applications they provide an easy way to install a graphical interface onto your data warehouse.

Jupyter Notebooks also supports many other languages including R which is popular among statisticians. You can work with both on a team and have the same user experience.

Link to the official module page: https://jupyter.org

Related topics

Open Source Python
Computer Programming
Software Development

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