Compare R and Python

Compare R and Python



R
- Focuses on better, user friendly data analysis, statistics and graphical models
- The closer you are to statistics, data science and research, the more you might prefer R
- Statistical models can be written with only a few lines in R
- The same piece of functionality can be written in several ways in R
- Mainly used for standalone computing or analysis on individual servers
- Large number of packages, for anything!

Python
- Used by programmers that want to delve into data science
- The closer you are working in an engineering environment, the more you might prefer Python
- Coding and debugging is easier mainly because of the nice syntax
- Any piece of functionality is always written the same way in Python
- When data analysis needs to be implemented with web apps
- Good tool to implement algorithms for production use

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