From the course: Data Science Foundations: Fundamentals
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APIs
From the course: Data Science Foundations: Fundamentals
APIs
- [Instructor] When you draw a picture or write a letter, chances are that you can draw well with one of your hands, your dominant hand, and not so much with the other. I recently heard someone describe this as having a well-developed API for your dominant hand, but only a clunky one for the non-dominant hand. An API, or Application Programming Interface, isn't a source of data, but rather, it's a way of sharing data. It can take data from one application to another or from a server to your computer. It's the thing that routes the data, translates it, and gets it ready for use. I want to show you a simple example of how this works. And so I've gone to this website that has what's called the JSONPlaceholder. JSON stands for JavaScript Object Notation. It's a data format. And if we scroll down here, you'll see this little tiny piece of code, and what it says is go to this web address and get the data there and then show it, include it, and you can just click on this to see what it does.…
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Contents
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Data preparation5m 26s
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(Locked)
Labeling data for supervised learning8m 48s
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(Locked)
In-house data5m 38s
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(Locked)
Open data4m 15s
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(Locked)
APIs2m 39s
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(Locked)
Scraping data4m 45s
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(Locked)
Synthetic data and simulation environments7m 12s
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(Locked)
Passive collection of training data3m 57s
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(Locked)
Data vendors5m 30s
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(Locked)
New data from surveys and experiments5m 36s
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(Locked)
Data ethics5m 14s
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