Python is favored for data science due to its general-purpose nature, smooth learning curve, and extensive ecosystem, making it highly productive for data scientists. It offers robust tools for various tasks, from regression analysis to creating data-intensive applications, while ensuring ease of communication through libraries like Jupyter. The Python data science community is rapidly growing, supported by numerous libraries and ongoing improvements in technology.