What is the difference between map, filter, and reduce?

Can you explain the difference between map, filter, and reduce in programming?

Sure! Map, filter, and reduce are higher-order functions used to process collections of data. Map transforms each element, filter selects elements based on a condition, and reduce aggregates elements into a single value.

Can you give me an example of each?

Of course! For map, if you have an array of numbers and want to double each number, you'd use map. For filter, if you want to get only even numbers from that array, you'd use filter. For reduce, if you want to sum all the numbers, you'd use reduce.

What programming languages support these functions?

Languages like JavaScript, Python, and Ruby support these functions. They are commonly used in functional programming.

Are there any performance differences between them?

Yes, performance can vary. Map and filter create new arrays, while reduce can be more efficient as it processes elements in a single pass. However, the actual performance depends on the context and data size.