# NumPy

NumPy is the foundational numerical computing library for Python. It provides the `ndarray`, a fast, multi-dimensional array, and a comprehensive library of mathematical functions that operate on arrays without Python loops. NumPy underpins Pandas, Scikit-learn, and most other scientific Python libraries.

Visit the following resources to learn more:

- [@official@NumPy quickstart](https://numpy.org/doc/stable/user/quickstart.html)
- [@article@NumPy Tutorial](https://www.w3schools.com/python/numpy/default.asp)
- [@article@NumPy for Absolute Beginners: A Project-Based Approach to Data Analysis](https://towardsdatascience.com/numpy-for-absolute-beginners-a-project-based-approach-to-data-analysis/)
- [@video@Python NumPy Tutorial for Beginners](https://www.youtube.com/watch?v=QUT1VHiLmmI)