This page contains information and links about installing and using tools across the jupyter ecosystem. Generally speaking, the documentation of each tool is the place to learn about the. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.
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You can start the notebook server from the command line (using terminal on. Project jupyter’s tools are available for installation via the python package index, the leading repository of software created for the python programming language. A long time ago, a precursor to jupyter was created, called ipython (a soon to be released document “the history of jupyter” will cover this in more detail).
Jupyter is developed in the open on github, through the consensus of the jupyter community.
After you have installed the jupyter notebook on your computer, you are ready to run the notebook server. Click the boxes below to learn how they work and to learn more. Jupyterlab is one interface used to create and interact with jupyter notebooks. For more information on our governance, please see our governance documentation.
