2. Supported Languages

Languages for Analytics and Data Science

When it comes to cleaning, wrangling, analyzing, and visualizing data, data analysts and data scientists commonly use R and Python. Increasingly, the question isn’t which to choose, but how to make the best use of both programming languages for your specific use cases. The products at Posit fully support both languages, enabling your team to work in whichever language is best for the task at hand.

R

  • An open-source statistical programming language that’s growing rapidly!

  • open-source: free to use, change, distribute

  • statistical: born out of S, built by statisticians at Bell Labs in 1970s

  • programming language:requires writing code

  • Maintained by R Development Core Team, supported by R Foundation, R Consortium, and tens of thousands of contributors

  • To download R, go to https://cloud.r-project.org and then click on the link for either Mac, Windows, or Linux depending on your computer

Python

python™

  • An open-source statistical programming language that’s growing rapidly!

  • open-source: free to use, change, distribute

  • Derived from many other languages, including ABC, Modula-3, C, C++

  • programming language: python is an interpreted, interactive, and object-oriented language

  • Maintained by a core development team at the National Research Institute for Mathematics and Computer Science in the Netherlands

  • To download python, go to https://www.python.org/ and then click on the link for either Mac, Windows, or Linux depending on your computer

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