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You're reading from  The Applied Data Science Workshop - Second Edition

Product typeBook
Published inJul 2020
Reading LevelIntermediate
PublisherPackt
ISBN-139781800202504
Edition2nd Edition
Languages
Python
Tools
Jupyter
Concepts
Data Science
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Alex Galea
Alex Galea
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Alex Galea

Alex Galea has been professionally practicing data analytics since graduating with a masters degree in physics from the University of Guelph, Canada. He developed a keen interest in Python while researching quantum gases as part of his graduate studies. Alex is currently doing web data analytics, where Python continues to play a key role in his work. He is a frequent blogger about data-centric projects that involve Python and Jupyter Notebooks.
Read more about Alex Galea

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Internet Data Sources

As data scientists, the internet helps connect us with any kind of dataset we could imagine. For instance, governments around the world publish public datasets that are rich with information. Along the same lines, some companies make certain datasets public, which can be of huge value within a given industry. One example of this is the ride-sharing business Lyft, who has released open source data that could be beneficial for training autonomous vehicles.

In addition to online datasets, Application Programming Interface (API) services also exist, which provide relevant and fresh data programmatically. For example, a business that depends on the weather may want an API that provides the current conditions in a given region, along with updated forecasts. Processes could be set up to query that API daily and update an internal database that's connected to a dashboard in order to provide that and other relevant data to business stakeholders.

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The Applied Data Science Workshop - Second Edition
Published in: Jul 2020Publisher: PacktISBN-13: 9781800202504
© 2020 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Alex Galea

Alex Galea has been professionally practicing data analytics since graduating with a masters degree in physics from the University of Guelph, Canada. He developed a keen interest in Python while researching quantum gases as part of his graduate studies. Alex is currently doing web data analytics, where Python continues to play a key role in his work. He is a frequent blogger about data-centric projects that involve Python and Jupyter Notebooks.
Read more about Alex Galea

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