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Jupyter for Data Science

You're reading from   Jupyter for Data Science Exploratory analysis, statistical modeling, machine learning, and data visualization with Jupyter

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Product type Paperback
Published in Oct 2017
Publisher Packt
ISBN-13 9781785880070
Length 242 pages
Edition 1st Edition
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Author (1):
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Dan Toomey Dan Toomey
Author Profile Icon Dan Toomey
Dan Toomey
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Table of Contents (11) Chapters Close

Preface 1. Jupyter and Data Science FREE CHAPTER 2. Working with Analytical Data on Jupyter 3. Data Visualization and Prediction 4. Data Mining and SQL Queries 5. R with Jupyter 6. Data Wrangling 7. Jupyter Dashboards 8. Statistical Modeling 9. Machine Learning Using Jupyter 10. Optimizing Jupyter Notebooks

Converting a notebook

You can also share a notebook with others by converting the notebook to a readable form for recipients. Notebooks can be converted to a number of formats using the Download As feature in the notebook File menu.

Notebooks can be converted in this way to the formats:

  • <language&gt; format: This option is dependent on the language used to create the notebook. For example, an R notebook would have the choice to Download as R script.
  • HTML: This representation is the HTML encoding to display the page as it appears in your notebook using HTML constructs.
  • Markdown: Markdown is a simple display tag format used by some older Linux systems.
  • reST: Another markdown type of format that has simpler display constructs than HTML.
  • PDF.
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