Ufuncs, or Universal Functions, in NumPy are functions that operate on ndarrays (N-dimensional arrays) in an element-by-element fashion. They are designed to perform operations efficiently and support features such as:
- Array Broadcasting: Ufuncs can operate on arrays of different shapes and sizes by automatically expanding the smaller array to match the shape of the larger one.
- Type Casting: Ufuncs can handle different data types and will automatically cast them to a compatible type when performing operations.
- Performance: Ufuncs are implemented in C, making them much faster than using Python loops for element-wise operations.
Examples of ufuncs include mathematical functions like np.add, np.subtract, np.multiply, and np.abs. They allow for concise and efficient array computations.
