Python vs. R: which one to choose - Deepstash

Python vs. R: which one to choose

The language to choose depends on your situation.

Points to consider:

  • Do you have programming experience? Python has a learning curve that's linear and smooth. With R, novices can Run data analysis tasks in minutes, but it takes longer to develop expertise.
  • What do your colleagues use? Academics, engineers and scientists use R. Python is used in a wide range of industries.
  • What problems are you trying to solve? R is used for statistical learning, and Python for machine learning and large-scale applications.

21

76 reads

CURATED FROM

IDEAS CURATED BY

samanthabqq

Great leaders inspire me. I read and stash about that.

The idea is part of this collection:

Machine Learning With Google

Learn more about computerscience with this collection

Understanding machine learning models

Improving data analysis and decision-making

How Google uses logic in machine learning

Related collections

Similar ideas to Python vs. R: which one to choose

The main difference between R and Python

They approach data science differently:

  • R is used for statistical analysis.
  • Python provides a more general approach to data.
  • R is built by statisticians and leans heavily into statistical model...

Python data processing with pandas

Pandas is a Python language package, which is used for data processing. This is a very common basic programming library when we use Python language for machine learning programming. This article is an introductory tutorial to it. Pandas provide fast, flexible and expressive data structures with t...

Read & Learn

20x Faster

without
deepstash

with
deepstash

with

deepstash

Personalized microlearning

β€”

100+ Learning Journeys

β€”

Access to 200,000+ ideas

β€”

Access to the mobile app

β€”

Unlimited idea saving

β€”

β€”

Unlimited history

β€”

β€”

Unlimited listening to ideas

β€”

β€”

Downloading & offline access

β€”

β€”

Supercharge your mind with one idea per day

Enter your email and spend 1 minute every day to learn something new.

Email

I agree to receive email updates