The programming language widely used for data analysis and scientific computing is Python. Known for its simplicity and versatility, Python offers extensive libraries, such as Pandas, Numpy, and Matplotlib, which make it ideal for data manipulation, statistical analysis, and visualization. Its user-friendly syntax allows for quick learning and implementation, attracting both beginners and experienced programmers alike. Additionally, Python's supportive community and its compatibility with other technologies make it a preferred choice in academia and industry for projects requiring robust data analysis and computational capabilities.