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This article compares the characteristics of Python and R, two popular programming languages used in machine learning projects. It discusses their similarities and differences, as well as their advantages and disadvantages, to help readers make an informed decision on which language to use for their specific project needs. The article highlights Python’s versatility and extensive library ecosystem, as well as R’s focus on statistical analysis and its popularity in academia and research settings.