NumPy (short for Numerical Python) is a Python library for scientific computing that provides support for large, multi-dimensional arrays and matrices, as well as a wide range of mathematical functions to operate on these arrays.
NumPy is an essential library for data analysis and scientific computing in Python, and it is widely used in fields such as machine learning, physics, astronomy, engineering, and many more. NumPy’s arrays are more efficient and faster to operate on than Python’s built-in data structures, making it a popular choice for numerical computation tasks that require fast and efficient computation.
Some of the key features of NumPy include:
- Efficient support for multi-dimensional arrays and matrices
- A wide range of mathematical functions for array manipulation, linear algebra, Fourier analysis, and more
- Integration with other scientific computing libraries in Python, such as SciPy, Pandas, and Matplotlib.