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Data Science Interview Handbook

Jupyter

Explore Jupyter as a vital data science tool, enabling you to write, run, and share code interactively. Understand Jupyter Notebook, Lab, Hub, and Voila for visualization, collaboration, and creating web applications within data science workflows.

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Jupyter is an open-source software that provides an interactive interface for programming. Below are some of the features of Jupyter:

  • Large support for programming languages: Jupyter supports 40+ programming languages, including Python, R, Scala, and Julia.
  • Sharing work: Jupyter Notebook can be shared over Dropbox, Github or email. Another user can directly run the shared code.
  • Interactive output:Jupyte provides rich output which that can be in text, HTML, video, image, or any custom
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