Online R to Python Converter
Click to select or drop your input code file here.
You can also type the input code below.
How to use this tool?
This free online converter lets you convert code from R to Python in a click of a button. To use this converter, take the following steps -
- Type or paste your R code in the input box.
- Click the convert button.
- The resulting Python code from the conversion will be displayed in the output box.
Examples
The following are examples of code conversion from R to Python using this converter. Note that you may not always get the same code since it is generated by an AI language model which is not 100% deterministic and gets updated from time to time.
Example 1 - Is String Palindrome
Program that checks if a string is a palindrome or not.
R
Python
Example 2 - Even or Odd
A well commented function to check if a number if odd or even.
R
Python
Key differences between R and Python
| Characteristic | R | Python |
|---|---|---|
| Syntax | R has a syntax that is similar to the English language, making it easier for beginners to learn. | Python has a syntax that is easy to read and write, with a focus on simplicity and readability. |
| Paradigm | R is primarily a functional programming language, but it also supports object-oriented programming. | Python is a multi-paradigm language that supports procedural, object-oriented, and functional programming. |
| Typing | R is a dynamically typed language, meaning that variable types are determined at runtime. | Python is also a dynamically typed language. |
| Performance | R can be slower than Python for certain tasks, especially when dealing with large datasets. | Python is generally faster than R for numerical computations and scientific computing. |
| Libraries and frameworks | R has a wide range of libraries and frameworks for data analysis and visualization, such as ggplot2 and dplyr. | Python has a vast collection of libraries and frameworks for various purposes, including data analysis, machine learning, and web development, such as NumPy, Pandas, Scikit-learn, and Django. |
| Community and support | R has a strong community of users and developers, with many online resources and forums available for support. | Python has a large and active community, with many online resources, forums, and conferences available for support and collaboration. |
| Learning curve | R has a steeper learning curve than Python, especially for beginners with no programming experience. | Python has a relatively easy learning curve, with a focus on simplicity and readability. |
