Is Python losing its importance in data science?
Python is not losing importance. It still leads in machine learning, automation, and large-scale systems. The shift shows better tool selection, not a decline.
When should R be used instead of Python?
R works best for statistical modeling, research, and detailed data analysis. It suits tasks where interpretation and accuracy matter more than system deployment.
When is Python a better choice than R?
Python is better for end-to-end workflows. It works well for machine learning, data engineering, automation, and deploying models into production systems.
