But data science is a specific field, so while Python is emerging as the most popular language in the world, R still has its place and has advantages for those doing data analysis. Hoping to settle ...

R is regaining attention in 2026, especially in statistics-heavy and research-focused data science work.Python still leads in ...

答案是否定的。TIOBE 指数统计的是某一门编程语言相关的互联网网页数量。而大语言模型最终依赖的也是完全相同的信息来源 —— 它们正是基于这些相同的网页进行训练和分析的。因此从本质上讲，二者并没有实质区别。唯一的不同只是你需要信任搜索引擎公司，还是信任大语言模型公司。所以就目前而言，我们仍将继续使用搜索引擎。它们透明、可预测，并且已经存在了数十年。

R vs Python: What are the main differences? Your email has been sent More people will find their way to Python for data science workloads, but there’s a case to for making R and Python complementary, ...