NumPy, the Python library for faster math and data science apps

The video tutorial introduces Numpy, a powerful third-party library for Python, which accelerates math operations by using lower-level languages. It compares the performance of pure Python and Numpy implementations of the Sieve of Eratosthenes, highlighting Numpy's speed advantage. However, it also discusses Numpy's limitations when dealing with Python's native number types, emphasizing the need to choose the right tool for specific tasks. The tutorial concludes with a summary of Numpy's benefits and constraints.

What new insight or understanding did you gain from this video?