Major conflict between R and Python

From the perspective of many, there is a major conflict between R and Python, and Python wins it on the pretext that it develops more than R

But have you thought about combining them?

• R language with its statistical speed
• Python has great potential

Here I will talk about the Reticulate library

This library enables me to use the Python environment inside R and vice versa

The picture explains more

Here I defined a DataFrame inside R called x and called it inside Python

Note: I switched here to a Pandas DataFrame inside a Python environment

This is one of the most important advantages of the Reticulate library

Here we come to several options, for example:

• - Preporcessing Into R, Modeling Into Python
• - Preprocessing Into R, Visualization Into Python
• - Preprocessing Into R, Insert Utf-8 (Arabic) Data to SQL Into Python

And many more, which contribute to raising productivity and creativity within the work environment

This is the library cheat sheet

There are many programming languages and the competition between them is very fierce!

But what would happen if we could combine them into one project and use each language to its strengths?