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。

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, ...

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 ...

Using Quarto with Observable JavaScript is a great solution for R and Python users who want to create more interactive and visually engaging reports. There’s an intriguing new option for people who ...

LangChain is one of the hottest development platforms for creating applications that use generative AI—but it’s only available for Python and JavaScript. What to do if you’re an R programmer who wants ...

Java can handle large workloads, and even if it hits limitations, peripheral JVM languages such as Scala and Kotlin can pick up the slack. But in the world of data science, Java isn't always the go-to ...