The programming language widely used in data science is Python. Its popularity stems from its simplicity, versatility, and extensive libraries, such as pandas for data manipulation, NumPy for numerical computing, and scikit-learn for machine learning. Python allows data scientists to perform complex analyses efficiently and visualize data using libraries like Matplotlib and Seaborn. Its strong community support and integration capabilities with other technologies make it an ideal choice for both beginners and seasoned data professionals. Furthermore, Python's growing ecosystem continues to expand its applicability in various facets of data science.