The programming language primarily used for scientific computing and data analysis is Python. Its simplicity, readability, and extensive libraries, such as NumPy and Pandas, make it ideal for tasks involving numerical analysis, statistical modeling, and data visualization. Python's versatility allows researchers and data scientists to implement complex algorithms efficiently, contributing to its growing popularity in academia and industry.