The programming language widely used for scientific computing is Python. Its popularity stems from its simplicity, readability, and extensive libraries, such as NumPy, SciPy, and Matplotlib. These libraries provide powerful tools for numerical analysis, data manipulation, and visualization, which are essential in scientific research and analysis. Python's flexibility allows researchers to implement algorithms, process large datasets, and perform complex simulations efficiently, making it a preferred choice in academia and industry.