Python is a high-level, general-purpose programming language known for its intuitive syntax that mimics natural language.
https://careerfoundry.com/en/blog/data-analytics/what-is-python/
What Is Python Used For?
Python is a versatile programming language. It allows professionals to conduct complex calculations, extract and manipulate data, and build machine learning algorithms. Analysts can use it to create data visualizations, such as graphs, pie charts, and histograms.
Developers use Python to communicate with databases and URL routing using frameworks such as Django. Python can send, retrieve, and process data in the back-end (server-side) of website or application development.
It's also a top cybersecurity programming language for accessing servers, analyzing malware, and scanning networks and ports.
You can use Python code for a wide variety of tasks, but three popular applications include:
Data science and data analysis
Web application development
Automation/scripting
R, like Python, is a popular open-source programming language. It is commonly used to create statistical/data analysis software. R’s syntax is more complex than Python and the learning curve is steeper. However, it was built specifically to deal with heavy statistical computing tasks and is very popular for data visualization. A bit like Python, R also has a network of freely available code, called CRAN (the Comprehensive R Archive Network). R’s numerous abilities tend to fall into three broad categories:
Manipulating data
Statistical analysis
Visualizing data
https://careerfoundry.com/en/blog/data-analytics/what-is-rstudio/