What are the advantages of R vs. Python?

R is a programming language specifically designed for statistical analysis and data science. It can be used for complex functions, statistical tests, and models. Python is also used in data science, but because it is general-purpose and used in other applications, it was not distinctly created for data science

What are the disadvantages of R vs. Python?

R can be more complex to learn than Python. Because of this, it is also less popular than the more widely used Python, which resembles human language and syntax and is easier to learn and use

Which language should you learn, and why?

Because each language has its purposes and usages, neither programming language is better for data science. R is optimized for specialized work in data science and should be learned if that is your goal. On the other hand, you can utilize Python on a broader number of applications, and it is preferable to learn if you want to use a more general-purpose language.

R vs. Python for data science

R and Python are two programming languages commonly used for data science. Read our guide to understand the differences between R vs Python to help determine which language is the best for you.

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R vs. Python for data science

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