Jupyter for Data Science
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Jupyter concepts

Jupyter is organized around a few basic concepts:

  • Notebook: A collection of statements (in a language). For example, this could be a complete R script that loads data, analyzes it, produces a graph, and records results elsewhere.
  • Cell: the lowest granular piece of a Jupyter Notebook that can be worked with:
    • Current Cell: The current cell being edited or the one(s) selected
  • Kernel: each notebook is associated with a specific language implementation. The part of Jupyter which processes the specific language involved is called a kernel.