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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
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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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Toc

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

Reading JSON files

The modern approach to file formats is to use JavaScript Object Notation (JSON). It was specifically developed for interpretation by JavaScript coding, typically in a website. For example, a web page needs a list of products and asks for that list from the web server coding. The web server coding responds with the information encoded in JSON format, knowing that JavaScript resides in the web application and can easily interpret the information.

As it became more popular to use JSON on web applications, many realized it was a robust data format supporting hierarchical structures without having to resort to the flattening required by CSV. People then started using JSON in a variety of applications, not just website intercommunication.

Getting ready

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