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Online R to Python Converter
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 on the "Convert" button.
- The converted Python code 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 Code:
Python Code:
Example 2 - Even or Odd
A well commented function to check if a number if odd or even.
R Code:
Python Code:
Differences
The following are some 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. |
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