What are some key features of NumPy in Python?

What are some key features of NumPy in Python?

NumPy is a powerful library for numerical computing in Python. Some key features include support for large, multi-dimensional arrays and matrices, along with a collection of mathematical functions to operate on these arrays.

Can you explain how NumPy arrays differ from Python lists?

Certainly! NumPy arrays are more efficient for numerical operations than Python lists. They provide better performance and functionality, such as element-wise operations and broadcasting.

What is broadcasting in NumPy?

Broadcasting is a powerful mechanism that allows NumPy to perform arithmetic operations on arrays of different shapes. It automatically expands the smaller array to match the shape of the larger array.

Are there any built-in functions in NumPy for statistical analysis?

Yes, NumPy provides several built-in functions for statistical analysis, such as mean(), median(), std(), and var(), which help in calculating various statistical metrics.