So I’m doing a masters program and we’ve been taught all our coding in R ... now that I’m about to graduate and looking at jobs it seems everywhere wants you to know/use Python.

Is knowing R a valuable skill? Should I invest time in learning Python instead?

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Learn python then haha. Should be easy to pick up.

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R is very useful for statistics. I like R a lot better for real regression modeling. Not what most people attempt in python. It is also NOT a waste. You know how to code. That is important. Lastly, stop whining. You will spend the rest of your life learning, assuming you want to make money that is, so better get use to it. If you graduated without the ability to learn coding then I would demand a refund.

R you serious?
Sorry...couldn't resist.

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R has its place. Many companies use R too. Moreover for an entry role it should not matter much. If you can articulate ml concepts and manipulate data you should be fine. I used to be a data science manager and hired 3 data scientists and conducted over 50 interviews

likesmart

ML concepts translate over to the language, the switch is really not that hard. don’t let it get you down - Rs a great skill and another skill to add to your tool belt. Learn basic cleansing and prep in python and it’ll be fine

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I use R almost exclusively but theyre interchangeable for 99% of use cases

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Industry usage of R in deployment is minimal. Learn Python.

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I learned R. Only 1 junior person on my team knows R. Every junior person on my team knows python. So we use python, and I don't write any code at work.

My advice is, learn python, or become a manager.

funny

You’ll probably have to learn it, the syntax isn’t too different, but you’ll have to relearn a whole set of libraries which is a pain. My program taught both, and I’m surprised yours only focuses on one language.

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Most jobs ask for python, or for R AND a "programming" language like Java or python itself. You may as well learn Python.

R isn't useless, but most of its community doesn't really know how to use it, which really puts a damper on things... And developers look at you like you're crazy, because why is everything a list and what nutjob decided indexing should start with 1 instead of 0 and omg your code quality somebody burn it now.

Where you will use R is for yourself, or if you happen into the mythical R team. They're a thing of the past, but still more widespread than people running SPSS or Stata. I myself worked the last three years using R in production in big tech (ops, not product). We did use some python for some other production work though--the DL ecosystem specifically is better supported in Python, for them the R APIs are an afterthought.

For personal use, R is way more convenient for data exploration, mostly because of syntax. Vectors everywhere and deliberate emphasis on legible printouts is cake for analytics. If you wanna push the envelope with prototyping, R's also better since way more academic stuff is available, and it's faster for tabular data manipulation. Hold up, did you say slow R is faster? Yes, data.table was outperforming numpy last I checked.

If you wanna talk the real talk though, we need to all immediately start using Julia. Get critical mass to make the language viable.

Oh, and a final aside, careful dropping the word "advanced" in relation to any tech you're fresh out of school with. You're liable to get production questions you won't be able to answer.

smart

Python is easy as fuck to learn. Best to learn both anyway since Python libraries make a significant amount of R redundant and Python is way, way easier to operationalize and extend.

You should learn both. Shows you can learn multiple languages. And SQL.

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