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You're reading from  Jupyter for Data Science

Product typeBook
Published inOct 2017
Reading LevelBeginner
PublisherPackt
ISBN-139781785880070
Edition1st Edition
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Author (1)
Dan Toomey
Dan Toomey
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Dan Toomey

Dan Toomey has been developing application software for over 20 years. He has worked in a variety of industries and companies, in roles from sole contributor to VP/CTO-level. For the last few years, he has been contracting for companies in the eastern Massachusetts area. Dan has been contracting under Dan Toomey Software Corp. Dan has also written R for Data Science, Jupyter for Data Sciences, and the Jupyter Cookbook, all with Packt.
Read more about Dan Toomey

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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.
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Jupyter for Data Science
Published in: Oct 2017Publisher: PacktISBN-13: 9781785880070
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Author (1)

author image
Dan Toomey

Dan Toomey has been developing application software for over 20 years. He has worked in a variety of industries and companies, in roles from sole contributor to VP/CTO-level. For the last few years, he has been contracting for companies in the eastern Massachusetts area. Dan has been contracting under Dan Toomey Software Corp. Dan has also written R for Data Science, Jupyter for Data Sciences, and the Jupyter Cookbook, all with Packt.
Read more about Dan Toomey