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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
Languages
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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

Sharing Jupyter Notebooks


Jupyter Notebooks can be shared by placing the notebook on a server (there are several kinds) or converting the notebook to another format (it will not be interactive, but the content will be available).

Sharing Jupyter Notebook on a notebook server

Built into the notebook configuration are extensions that can be used to expose a notebook server, directly. The notebook configuration can be generated using the following command:

Jupyter Notebook -generate-config

In the resulting jupyter_notebook_config.py file there are settings that can be used to set:

  • IP/port address of your notebook
  • Encryption certificate location
  • Password

By setting this and starting Jupyter you should be able to access the notebook at the IP address specified from other machines in your network.

Note

You should work with your network security personnel before doing so.

Sharing encrypted Jupyter Notebook on a notebook server

If you specify the certificate information correctly in the previous configuration...

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