What should I choose Python or R?

Strengths and weaknesses

Python is better for…	R is better for…
Handling massive amounts of data	Creating graphics and data visualizations
Building deep learning models	Building statistical models

Which is better for statistical analysis R or Python?

R is mainly used for statistical analysis while Python provides a more general approach to data science. R and Python are state of the art in terms of programming language oriented towards data science. Learning both of them is, of course, the ideal solution.

Is R harder than Python Reddit?

Python is not easier than R, in many ways. It takes a bit of CS to do python well, but then afterwards it’s much easier to import and understand the different objects and principles, at least in my experience. I think of it more like “R brain” and “python brain”. It’s hard to switch between the two mindsets.

Should you learn your or Python for data analysis?

If you look at recent polls that focus on programming languages used for data analysis, R often is a clear winner. If you focus specifically on Python and R’s data analysis community, a similar pattern appears. Despite the above figures, there are signals that more people are switching from R to Python.

What is the difference between Python and R?

Python is more object-oriented, and R is more functional. Don’t worry if you don’t understand the difference — these are simply two different approaches to programming, and in the context of working with data, both approaches can work very well! Now let’s find the average values for each statistic in our data set!

Is your easier to learn than other programming languages?

That is, the transition from other popular programming languages like Java or C++ to Python is easier than the transition from those languages to R. R has a set of packages known as the Tidyverse, which provide powerful yet easy-to-learn tools for importing, manipulating, visualizing, and reporting on data.

How can I run your code from Python?

That is, you can run R code from Python using the rpy2 package, and you can run Python code from R using reticulate. That means that all the features present in one language can be accessed from the other language. For example, the R version of deep learning package Keras actually calls Python. Likewise, rTorch calls PyTorch.