The programming language widely used for scientific and numeric computing is Python. Python's simplicity, rich ecosystem of libraries (like NumPy and SciPy), and versatility make it a favorite among researchers and data scientists. It supports complex mathematical computations, data analysis, and machine learning, making it well-suited for various scientific applications. With its clear syntax and extensive community support, Python facilitates rapid prototyping and experimentation, allowing scientists to focus on solving problems rather than wrestling with complex code.