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Python Data Science Essentials - Third Edition by Luca Massaron, Alberto Boschetti

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How Jupyter Notebooks can help data scientists

The main goal of the Jupyter Notebook is easy storytelling. Storytelling is essential in data science because you must have the power to do the following:

  • See intermediate (debugging) results for each step of the algorithm you're developing
  • Run only some sections (or cells) of the code
  • Store intermediate results and have the ability to version them
  • Present your work (this will be a combination of text, code, and images)

Here comes Jupyter; it actually implements all of the preceding actions:

  1. To launch the Jupyter Notebook, run the following command:
    $> jupyter notebook
  1. A web browser window will pop up on your desktop, backed by a Jupyter server instance. This is what the main window looks ...

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