[Introduction to Artificial Intelligence Headlines] If you are a recruit in the field of data analysis, then it must be difficult for you to choose: which language should you use for data analysis, R or Python? On the Internet, questions such as “I want to learn machine language, which programming language should I use” or …
[Introduction to Artificial Intelligence Headlines] If you are a recruit in the field of data analysis, then it must be difficult for you to choose: which language should you use for data analysis, R or Python? On the Internet, questions such as “I want to learn machine language, which programming language should I use” or “I want to solve the problem quickly, should I use R or Python” often appear. Both programming languages are currently leaders in the data analysis community. Recently, it is rumored that R and Python will cooperate in depth, which will undoubtedly benefit the majority of practitioners in the field of artificial intelligence and data science. Let’s find out below!
The following content is compiled by Artificial intelligence headlines：
The two programming languages R and Python are currently leaders in the data analysis community. Their code is open source and free to use, but they have long been fighting to become the programming language of choice for data scientists.Hadley Wickham is one of the most important developers of the R programming language, and Wes McKinney is the chief developer of Python. They all believe that this kind of struggle is completely unnecessary.In fact, they believe that if they can cooperate with each other, they will bring greater benefits to each other’s millions of user groups.
Last month, McKinney announced the establishment of Ursa Labs, an innovative organization aimed at improving data science development tools. McKinney will work with Wickham’s old owner RStudio, and they will retain the user interface that is most popular with R users in the project. The main purpose of Ursa Labs is to enable data scientists who use different programming languages to seamlessly connect and cooperate without obstacles, so as to avoid some redundant work caused by different programming languages in the development process. In addition to improving the R and Python programming languages, the organization also hopes that their work can improve the user experience of other open source programming languages (such as Java and Julia).
R and Python are two very important tools, both for data scientists on large technology platforms such as Google and Facebook, and for other researchers, academic researchers, and data loggers. They are indispensable. But for programmers, one of the most common problems is that it is difficult for them to cooperate on projects with colleagues who use different programming languages.
The Ursa Labs mentioned above intends to try to create a new standard that can be common to all programming languages, making it easier for data scientists who use different programming languages to share data and code with others. The developers of Ursa Labs said that this will be a huge improvement in the ability to work together, and there will be no need to argue about which programming language to learn in the future.Wickham and McKinney are already working together to create a common file format that can be used in Python and R.
In addition to improving the efficiency of collaborative work, Wickham and McKinney also said that when developers using different programming languages deal with the same problem, even if they have solved the problem perfectly, it is still difficult for them to tell others about their findings because of different programming languages. This has also become another main motivation for them to create this project.
For example, Wickham explained that in every language, people use a function like averaging. For users, it is too easy to implement this, it is nothing more than writing a sentence in R and Python. But for developers of programming languages, achieving such a task with the most efficient computational efficiency is actually a very technical job. Both R and Python developers tend to use C++ and C languages to solve this problem, which is very helpful for development, but it is tricky for most ordinary users because it involves some underlying programming problems that they are not familiar with. Wickham said that if a language developer comes up with the best solution to implement a certain function, this method should also be able to be applied to other languages, which is the ideal state. This is the main mission of Ursa Labs.
To added that in addition to solving technical problems, this project is also working hard to achieve peace between the programming communities. They say that if more people work together in these languages, the faster data science will progress. Wickham said: “I hope this project will end the meaningless debate between R and Python, both programming languages are great.
