Python’s simple syntax, extensive libraries (such as Pandas, NumPy, and scikit-learn), and strong community support have made it the most popular language for data science and machine learning. R stands out for its unrivalled tools for advanced statistics, visualisation, and data analysis. Python is ideal for general machine learning and integration with enterprise workflows, while R is highly valued for statistical research and analytics. Your project requirements and team experience should inform the choice between R and Python for data science.
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