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Learning Jupyter 5

You're reading from   Learning Jupyter 5 Explore interactive computing using Python, Java, JavaScript, R, Julia, and JupyterLab

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Product type Paperback
Published in Aug 2018
Publisher
ISBN-13 9781789137408
Length 282 pages
Edition 2nd Edition
Languages
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 (14) Chapters Close

Preface 1. Introduction to Jupyter FREE CHAPTER 2. Jupyter Python Scripting 3. Jupyter R Scripting 4. Jupyter Julia Scripting 5. Jupyter Java Coding 6. Jupyter JavaScript Coding 7. Jupyter Scala 8. Jupyter and Big Data 9. Interactive Widgets 10. Sharing and Converting Jupyter Notebooks 11. Multiuser Jupyter Notebooks 12. What's Next? 13. Other Books You May Enjoy

Node.js JSON handling


In this example, we will load a JSON dataset and perform some standard manipulations on the data. I am referencing the list of FORD Models from http://www.carqueryapi.com/api/0.3/?callback=?&cmd=getModels&make=ford. I can't reference this directly, as it is not a flat file, but an API call. Therefore, I downloaded the data into a local file called fords.json. Also, the output from the API call wraps the JSON like so: ?(json);. This 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, which constructs a standard JavaScript array of objects. Attributes of each object can be referenced by name, for example, model.model_name:

//load the JSON dataset 
//http://www.carqueryapi.com/api/0.3/?callback...
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