With the development of programming languages, some languages have a very good development, some are phased out, and to the number of the more popular, among them Python. As a universal Python scripting language, then gradually becoming scientific data in the most popular languages. According to some people, he said the IT industry, Python fame is the R language as a stepping stone, R is now a dying language.
There is some evidence that, Python's popularity led to growing use of low R. According to statistics TIOBE, Python is currently the world's third most popular language, after two popular languages like Java and C, from August 2018 to August 2019, Python usage increased by more than 3% It reached 10% rating (proprietary standards TIOBE main measure of search activity), becoming the 20 kinds of the most popular languages in the most prominent star.
By contrast, in recent years, R frustrated on TIOBE rankings, it dropped from 8 January 2018 to 20th now, second only to Perl, Swift and Go. At its peak in January 2018, the support for R is approximately 2.6%. However, according to TIOBE index, the index has now dropped to 0.8%.
TIOBE stakeholders wrote:
Python's popularity continued to grow, but it is based on the popularity of other languages at the expense of the decline, which is a programming language R, and Perl fall faster. 
Other data showed that Python successful years at the expense of R and SAS (popular proprietary analysis environment) for the price. According to the investigation of choice for Burtch Works modeling environment display, Python, R and SAS hard to decide who will win in 2018: 
Dice Insight once published an article on "five kinds of language destined to decline," of which there are R.
R 被认为是面向统计计算的语言，尽管学术界和数据科学家仍然在使用 R，但一些数据分析公司正在转向 Python，正如 Dice Insight 的高级编辑 Nick Kolakowski 所说：“依靠少数学者和其他人的使用不足以维持 R 的生存”。
对比 R 和 Python 的各种技术好处，可以发现的是，虽然用户可能能够在 R 或其库中以本机完成任何统计任务，但在 Web 浏览器中工作时，该语言就比不上 Python，所以贬低 R 的人就在这方面上认为 R 的可伸缩性受到限制。Python 生态系统的增长超过了 R。
以上种种现象说明 Python 发展势头很猛，远甩 R 很多条街。不过，有部分人却确认为 R 语言并没有正在衰落或已经衰落的迹象，DataCamp (美国一家数据分析在线教育平台) 的创始人 Martijn Theuwissen 就表示：
关于 R 的下降的报道被大大夸大了，根据我的发现，如果你细细观察 R，它还在增长，只是 Python 增长势头更快。
根据 R Consortium (为了推广开放源码语言的使用而创建的组织) 的说法，目前全世界有 200 多万 R 用户，开发人员已经通过 CRAN (综合 R 档案网络) 编写并开源了超过 13000 个库，以自动化各种统计任务和绘制图表。
R Consortium 说：
广泛的组织已经采用 R 语言作为数据科学平台，包括生物技术、金融、研究和高科技产业。R 语言通常集成到第三方分析、可视化和报告应用程序中，并运行在各种各样的计算平台上。
R 的好处之一是它在大学院校里是作为一门课程，许多研究生在其学科攻读科学学位，学习 R 进行统计建模。随着对数据科学家的需求不断增长，“硬”科学方面受过训练的这些人中许多将他们的统计能力运用于新的数据科学行业，随之带来了 R 知识。Python 也在高等教育中教授，但它更多的是在计算机专业。
As we know, the popularity of the investigation of language is a daunting task, there is the natural language of life, there is no absolute way to determine their exact life cycle, so there is no way to completely predict their future (even TIOBE). So too absolutely I believe that Python has replaced R is a bit too early to say.
In this particular time, Python's possible future brighter than R, R does not mean there is no future. For some data scientific work, Python is probably the best tool, but for others it, Python is hard to beat R.