👉 NumPy (Numerical Python) is a fundamental library in Python for numerical computing, providing support for large, multi-dimensional arrays and matrices, along with a wide range of high-performance mathematical functions to operate on these structures. It enables efficient handling of numerical data, facilitating complex mathematical operations and enabling vectorized computations that significantly speed up calculations compared to traditional Python lists. NumPy's core data structure, the ndarray (n-dimensional array), is optimized for performance and memory usage, making it indispensable for scientific computing, data analysis, machine learning, and other data-intensive tasks in Python. By leveraging NumPy, developers can write concise and efficient code that can process large datasets with ease, benefiting from its optimized C backend for faster execution.
