近来，Python 在各大编程语言榜单上持续霸榜，成为增速最快的语言之一。从数据分析到深度学习，从科研到工程项目，几乎无处不在。但它真的适合所有的数据科学任务吗？对此，本文作者结合自己二十多年带实验室的经历，深入探讨了 Python 在数据科学中的 ...

Python在每月Tiobe编程语言流行度指数中仍然保持第一名，领先第二名C语言超过10个百分点。但Python的受欢迎程度在过去六个月中实际上有所下降，从去年7月26.98%的最高市场份额降至本月Tiobe指数的21.81%。

TIOBE 2026年2月编程语言排行榜再次更新，Python凭借其强大的生态和易用性，继续稳坐榜首。这份榜单反映了全球开发者社区的最新动向，也预示着未来技术发展的一些重要趋势。尽管Python的市场份额较巅峰时期有所回落，但其在人工智能、大数据等领域的统治地位依然难以撼动。 Python的领先地位及其挑战 截至2026年2月，Python以21.81%的占比领跑，虽然较上月下降了2.08个百分点 ...

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 ...

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 ...

Advanced statistical modelling, hypothesis testing, and academic workflows make R preferred for data-heavy research and reproducible ...

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 ...

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, ...