本月榜单最大的意外，不是 Python 再次稳坐榜首，也不是 C 语言的稳步回升，而是： R 语言重新杀回前十 ，从去年的第 16 名跃升至本月第 10 名，同比增长 +0.91%，涨幅亮眼。

如果你是一名数据科学家，你很有可能使用Python或R编程。但是有一个叫Julia的新成员承诺在不影响数据科学家编写代码和与数据交互的情况下拥有c一样的性能。 我将R与Julia进行了比较，展示了Julia是如何为数据科学社区带来全新的编程思维方式的。主要的结论是 ...

TIOBE 2025 年 12 月份的编程语言排行榜已经公布，官方的标题是：R 语言杀回前十 （Programming language R is back in the top 10）。 R 语言是专为统计分析和数据可视化设计的专业工具体系，为统计学家和数据科学家提供直接有效的工具，现在学术界和研究密集型行业依旧稳定依赖它。

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, ...

At Springboard, we pair mentors with learners in data science. We often get questions about whether to use Python or R – and we’ve come to a conclusion thanks to insight from our community of mentors ...

Statistical programming language R has fallen off Tiobe index's list of the 20 most popular languages, having spent three years in the top tier. Tiobe now places R in 21st position and suggests the ...

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 ...

Reticulate is a handy way to combine Python and R code. From the reticulate help page suggests that reticulate allows for: "Calling Python from R in a variety of ways including R Markdown, sourcing ...