- Jupyter for Data Science
- Dan Toomey
- 88字
- 2021-07-08 09:22:30
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.
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