Rython

Rython is an R library designed to convert Python code to R code. It simplifies the process of translating Python scripts into their R equivalents, making it easier for users familiar with R to adapt Python code to R. The package provides a set of functions that map common Python constructs (e.g., imports, variables, functions) to their R counterparts.

Features

• Python to R Code Translation: The core functionality of the package is to translate basic Python syntax into R, including variables, imports, functions, and basic control structures.
• Import Translation: The package converts Python's import statements to the appropriate R library() calls, making it easy to switch between Python and R libraries.
• Variable Conversion: Automatically converts Python variable assignments (e.g., x = [1, 2, 3]) into their R equivalents (e.g., x <- c(1, 2, 3)).
• Function Definitions: Translates Python function definitions into R function syntax, making it easier to adapt Python code into R.
• Boolean and None Translation: Converts Python booleans (True, False) and None into R equivalents (TRUE, FALSE, NULL).

Installation

You can install the Rython package from CRAN (once available) or directly from GitHub using the devtools package:

# Install from GitHub (Development version)
devtools::install_github("wikki13/Rython")

Installation
You can install the Rython package from CRAN (once available) or directly from GitHub using the devtools package:

R
Copy code
# Install from GitHub (Development version)
devtools::install_github("wikki13/Rython")
Usage
To use the package, simply load it and call the translate_python_to_r() function, passing the Python code you want to translate as a string.


# Example usage
library(Rython)

python_code <- "import numpy as np\nx = np.array([1, 2, 3])"
translated_code <- translate_python_to_r(python_code)

# View the translated R code
print(translated_code)
This will translate Python code like:

# Example output
library(Matrix)
x <- array(c(1, 2, 3))

Comparison: Rython vs Reticulate

Feature	Rython	Reticulate
Purpose	Translates Python code into equivalent R code.	Enables Python code to be directly executed and integrated within R.
Workflow Integration	Provides translated R code for use in native R environments.	Embeds Python within R scripts or workflows, allowing both languages to coexist.
User Base	Ideal for Python developers migrating to R or needing a full conversion of Python scripts to R.	Designed for users comfortable with using both Python and R simultaneously.
Code Conversion	Converts Python syntax, functions, and libraries into R equivalents.	No conversion; Python code is executed as-is using an embedded Python interpreter.
Dependency Management	Independent of Python runtime; focuses solely on generating R code.	Requires a Python environment to run embedded Python code.
Examples of Use	Migrating Python scripts to R for long-term use, teaching, or adapting to R-native workflows.	Combining Python and R in a single workflow, leveraging libraries from both ecosystems.
Learning Curve	Simplifies the process for users transitioning from Python to R.	Requires familiarity with both Python and R for seamless integration.

Future Developments

• Enhanced Syntax Support: We plan to extend the package to handle more advanced Python constructs, such as classes, loops, and exception handling.
• Bi-directional Translation: Future versions will explore the possibility of translating R code back to Python, enabling a more seamless integration between both languages.
• Improved Libraries Handling: There are plans to support more Python libraries and their R equivalents for smoother transitions in scientific computing and machine learning projects.
• Code Optimization: Enhancing the speed and efficiency of code translation, especially when dealing with large Python scripts.

Contributing

We welcome contributions! Check out our CONTRIBUTING.md for guidelines.

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License

This project is licensed under the MIT License. See the LICENSE file for details.