| R programming Language | Python programming language |
|---|---|
| Model Building is similar to Python | Model Building is similar to R. |
| Model Interpretability is good | Model Interpretability is not good |
| Production is not better than Python. | Production is good |
| R has good community support over Python. | Community Support is not better than R |
| Data Science Libraries are same as Python. | Data Science Libraries are same as R. |
| R has good data visualizations libraries and tools | Data visualization is not better than R |
| R has a steep learning curve. | Learning Curve in Python is easier than learning R. |
What is the similarity of Python and R?
- Both Python and R languages are open source programming languages. A huge number of various programming community members contributed to the development of documentation and the development of these languages.
- Both can be used to analyze data, analytic and in machine learning projects.
- Both have advanced tools for implementing projects in the field of data science.
Why Python?
Python is used by developers, who:
- Want to understand and get into data analysis
- Work with statistical methods and large amounts of data
- Build complex multi-protocol network applications
- Work mainly with machine learning products
Why R?
- Statistical models are written in several lines
- Easier work with complex calculations
- Well-documented algorithms and tools in work with the statistic