MCQ IN COMPUTER SCIENCE & ENGINEERING

Detailed explanation-1: -The term broadcasting describes how NumPy treats arrays with different shapes during arithmetic operations. Subject to certain constraints, the smaller array is “broadcast” across the larger array so that they have compatible shapes.

Detailed explanation-2: -Vectorization is used to perform operations on arrays without using loops. It is faster than loops. With the help of broadcasting techniques, arithmetic operations can be performed on arrays of different shapes and sizes. The numpy.

Detailed explanation-3: -Broadcasting is another extension to vectorization where arrays need not be of the same sizes for operations to be performed on them like addition, subtraction, multiplication, etc. Let’s understand this by a very simple example of addition of an array and a scalar.

Detailed explanation-4: -The Apply, Applymap, and Aggregate functions are frequently used to transform variables or the entire data in a way the user desires. I personally call these functions “Broadcasting Functions” because they allow us to broadcast a certain logic, say a custom function, to all the data points in the variable or data.