SciPy
SciPy is a free and open-source Python library used for scientific and technical computing. It builds on NumPy to provide a large collection of high-level mathematical functions for optimization, integration, interpolation, eigenvalue problems, algebraic equations, differential equations, statistics, and more. It is widely used in fields such as engineering, physics, and data science for numerical computations.
Developers should learn SciPy when working on scientific computing, data analysis, or engineering applications that require advanced mathematical operations beyond basic NumPy arrays. It is essential for tasks like solving differential equations, performing Fourier transforms, optimizing functions, or statistical modeling, making it a core tool in research, academia, and industries like finance or biotechnology.