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Jupyter Cookbook

You're reading from   Jupyter Cookbook Over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788839440
Length 238 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 (12) Chapters Close

Preface 1. Installation and Setting up the Environment 2. Adding an Engine FREE CHAPTER 3. Accessing and Retrieving Data 4. Visualizing Your Analytics 5. Working with Widgets 6. Jupyter Dashboards 7. Sharing Your Code 8. Multiuser Jupyter 9. Interacting with Big Data 10. Jupyter Security 11. Jupyter Labs

Running your Notebook in Google Cloud Platform


Google Cloud Platform (GCP) is a suite of cloud computing services offered by Google. As part of those services, we can run a Jupyter Notebook.

GCP is offered as a subscription and time-usage billing. That means you pay a certain amount per month and you pay for how much you use per month. I think their fees are at par with other hosting arrangements. They have a free trial period that you can try out. Remember to shut down/off any services you start; otherwise the clock will keep ticking and you will get billed.

Getting ready

There are several steps to getting Jupyter installed and running on GCP. Many of these steps are performed using a Linux shell window.

Note

For any of these steps, if you can not locate the item, navigate back to the dashboard (click on the Google Cloud Platform button in the upper left corner); at the top center is a search form where you can search for the particular feature.

Set up your GC project

Sign up for a Google cloud...

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