developer-roadmap/roadmaps/r/content/r-vs-python@O3lbX70fDeKsv9fkJJtYv.md

R vs Python for Data Work

R and Python solve overlapping problems but come from different roots. R grew out of statistics departments, so its core language and packages treat data frames, vectors, and statistical models as first-class citizens. Python grew as a general-purpose language, so its data tools (pandas, NumPy) were added on top of a language built for other things. In practice, R tends to win for statistical modeling, academic research, and quick exploratory analysis, while Python wins for production software, deep learning, and general-purpose scripting.

Visit the following resources to learn more:

• @roadmap@Visit the Dedicated Python For Data Analysis Roadmap
• @article@Python vs. R: What’s the Difference?
• @article@Python or R for Data Analysis: Which Should You Learn?
• @video@R vs Python