SciPy
SciPy is an open-source Python library for scientific and technical computing, built on top of NumPy. It provides a collection of algorithms and high-level commands for data manipulation, optimization, integration, interpolation, linear algebra, statistics, and signal/image processing. It is widely used in fields like engineering, physics, and data science for numerical computations.
Developers should learn SciPy when working on projects that require advanced mathematical functions, scientific simulations, or data analysis beyond basic NumPy operations. It is essential for tasks such as solving differential equations, performing Fourier transforms, optimizing models, or conducting statistical tests, making it a core tool in scientific Python ecosystems like data science and research.