What are some real-world applications of map, filter, and reduce?

What are some real-world applications of map, filter, and reduce?

Map, filter, and reduce are powerful functions in programming, especially in functional programming. They are commonly used in data processing, such as transforming data sets, filtering out unwanted data, and aggregating results.

Can you give me an example of how map is used in a real application?

Sure! In a web application, you might use map to transform an array of user objects into an array of user names. For instance, if you have an array of user objects, you can use map to extract just the names.

What about filter? How is it applied?

Filter is often used to remove unwanted items from a data set. For example, in an e-commerce site, you could use filter to display only products that are in stock by filtering out those with a stock count of zero.

And reduce? Can you explain that?

Absolutely! Reduce is used to aggregate data. For instance, you could use it to calculate the total sales from an array of sales transactions by summing up the amounts.