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Learning Jupyter

You're reading from   Learning Jupyter Select, Share, Interact and Integrate with Jupyter Notebook

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Product type Paperback
Published in Nov 2016
Publisher Packt
ISBN-13 9781785884870
Length 238 pages
Edition 1st Edition
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Tools
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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. Introduction to Jupyter FREE CHAPTER 2. Jupyter Python Scripting 3. Jupyter R Scripting 4. Jupyter Julia Scripting 5. Jupyter JavaScript Coding 6. Interactive Widgets 7. Sharing and Converting Jupyter Notebooks 8. Multiuser Jupyter Notebooks 9. Jupyter Scala 10. Jupyter and Big Data

Node.js JSON handling


In this example, we will load a JSON dataset and perform some standard manipulations of the data. I am referencing the list of Ford models from http://www.carqueryapi.com/api/0.3/?callback=?&cmd=getModels&make=ford . I could not reference this directly as it is not a flat file but an API call. So, I downloaded the data into a local file, fords.json. Also, the output from the API call wraps the JSON like ?(json); which would have to be removed before parsing.

The scripting we will use is as follows. In the script, JSON is a built-in package of Node.js so we can reference this package directly. The JSON package provides many of the standard tools that you need to handle your JSON files and objects.

Of interest here is the JSON file reader that constructs a standard JavaScript array of objects. Attributes of each object can be referenced by name, for example, model.model_name. We can see this feature in action with this script that reads in a JSON file and parses...

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