Programming in Python benefits data science projects due to its simplicity, versatility, and large ecosystem of libraries. Python's syntax is human-friendly, which makes it accessible for both beginners and experienced data scientists. Libraries like Pandas, NumPy, and Scikit-learn provide powerful tools for data manipulation, analysis, and modeling. Additionally, Python supports machine learning and visualization libraries, streamlining the entire data science workflow from data collection to presentation.