Which is better for machine learning python or r

R is hands down the best option when you focus on statistics and probabilities. It has a large community of statisticians that can answer your questions. But, if you want to develop applications that process enormous amounts of data, Python is your best option.

Why Python is preferred over R for machine learning?

Several studies suggest that Python is faster than several widely used programming languages. The programmers can further speed up Python applications by using tools and algorithms. Unlike Python, R was not developed as a general-purpose programming language. It was developed for statisticians and data analysts.

Is Python faster than R for machine learning?

R is a low-level language, which means longer codes and more time for processing. Python being a high-level language renders data at a much higher speed. So, when it comes to speed - there is no beating Python.

Is R better than Python?

A: Python is better than R as it can be used for multiple purposes. It has better scalability, performance, integration, etc. However, if the purpose is data analysis and visualization, R is a better option.

Should I learn R or Python first?

In the context of biomedical data science, learn Python first, then learn enough R to be able to get your analysis done, unless the lab that you're in is R-dependent, in which case learn R and fill in the gaps with enough Python for easier scripting purposes. If you learn both, you can R code into Python using rpy.