Why do we need numpy in python?

NumPy is a core Python library for efficient numerical computing. It offers high-performance multidimensional array objects and tools for working with these arrays. Leveraging C for speed, it allows for vectorized operations, broadcasting, and direct array arithmetic, which boosts performance and reduces code complexity. Integral to Python’s scientific stack, it enables seamless integration with libraries like Pandas and Matplotlib. NumPy is memory-efficient, provides extensive mathematical functionality, and its arrays form the basis of most Python-based data science applications. Its indispensability lies in its ability to handle large data sets with speed and precision.