How to Use Reticulate For Using Python Alongside R Programming

Reticulate is the bridge between the world of Python and R

This shortcode incorporates the use_python() function as a way to call a particular Python script.

Reptile experts know the word “Reticulate” as a type of snake, named for its netlike appearance on its skin. But most R programmers understand the word “Reticulate” as the name of a popular library for connecting with Python the open-source programming language. This post will cover a few basics on it.

Reticulate introduces the capability of using Python scripts alongside R programming scripts. This can be very helpful if you’re making comparisons of functions, models, and datasets through the syntax of both languages.

Python is very popular among programmers and developers mainly because of the various applications for the language beyond data science. It is used for developing apps, games, and other software on top of data visualization and machine learning models.

What Reticulate Does For A Data Analyst’s Workflow

To understand the value of the Reticulate library, you need to know some information on how Python works. An interpreter in programming is software that allows a computer to understand syntax from a programming language (Python, R, Rust, etc.) and match it to the underlying machine language of a…