👉 Math libraries, such as NumPy and SciPy in Python, provide essential mathematical functions and tools for numerical computations, linear algebra, optimization, statistics, and signal processing. They offer optimized, high-performance implementations of mathematical routines, enabling efficient handling of large datasets and complex calculations. These libraries are built on top of C and Fortran, providing speed and numerical stability, and they integrate seamlessly with Python's extensive ecosystem, making them indispensable for data science, machine learning, and scientific computing tasks.
