- Is it easy to learn Python after r?
- Is it worth learning R in 2020?
- Can Python do everything R can?
- Is R good for data science?
- Is Python harder than R?
- Is Python better than R?
- What is r best for?
- Can Python replace R?
- Does R have a future?
- Is r difficult to learn?
- Should I learn R or Python first?
- Where is r better than Python?

## Is it easy to learn Python after r?

Python for all its idiosyncrasies is a more general, coherent and complete language than R, so it’s a much better foundation language for beginners.

Yes.

At the very least, it’s not like learning Python will be “harder” if you already know R.

Knowing any programming language will make learning Python easier!.

## Is it worth learning R in 2020?

Is it worth learning R in 2020? … R is worth learning because nowadays R has huge demand in the market. R is the most popular programming language used by data analysts and data scientists, R is for statistical analysis and it is free and open source, R language is used in heavy projects.

## Can Python do everything R can?

When it comes to data analysis and data science, most things that you can do in R can also be done in Python, and vice versa. Usually, new data science algorithms are implemented in both languages. But performance, syntax, and implementations may differ between the two languages for certain algorithms.

## Is R good for data science?

R is a highly extensible and easy to learn language and fosters an environment for statistical computing and graphics. All of this makes R an ideal choice for data science, big data analysis, and machine learning.

## Is Python harder than R?

Conclusion. Python is versatile, simple, easier to learn, and powerful because of its usefulness in a variety of contexts, some of which have nothing to do with data science. R is a specialized environment that looks to optimize for data analysis, but which is harder to learn.

## Is Python better than R?

Since R was built as a statistical language, it suits much better to do statistical learning. … Python, on the other hand, is a better choice for machine learning with its flexibility for production use, especially when the data analysis tasks need to be integrated with web applications.

## What is r best for?

R was designed by statisticians and was specialized for statistical computing, and thus is known as the lingua franca of statistics. … R is great for machine learning, data visualization and analysis, and some areas of scientific computing.

## Can Python replace R?

In short, R does not support the wider range of operations that Python does. Yet some data scientists still choose R in their work. … Unlike R, Python is a general-purpose programming language, so it can also be used for software development and embedded programming.

## Does R have a future?

However, the core R product no longer bears the R name, and Python is the reason why. … Python’s future may be brighter at this particular time than R’s, but that doesn’t mean R has no future. Python may be the best tool for some data science jobs, but for others, it’s hard to beat R.

## Is r difficult to learn?

R has a reputation of being hard to learn. Some of that is due to the fact that it is radically different from other analytics software. Some is an unavoidable byproduct of its extreme power and flexibility. … As many have said, R makes easy things hard, and hard things easy.

## Should I learn R or Python first?

If you’re working with data that’s been gathered and cleaned for you, and your main focus is the analysis of that data, go with R. If you have to work with dirty or jumbled data, or to scrape data from websites, files, or other data sources, you should start learning, or advancing your studies in, Python.

## Where is r better than 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.