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I actually learned a lot of coding with R. It's hard to learn, but once you do, it's great for hacking up models and trying stuff out. But, because of R's qui
by vikp 12y ago
I actually learned a lot of coding with R. It's hard to learn, but once you do, it's great for hacking up models and trying stuff out.
But, because of R's quirks, it's generally easier to write and deploy consistent, good-performing code in python. Python code is also more readable, which makes it easier to collaborate. All of my data science work, including plotting, is now done in python.
I'm working on more advanced content for dataquest, and thanks for the feedback.
- noer 12y agoI'm curious what reseources you used to learn R. I've had it on my list of to-learns for awhile.
- jonwachob91 12y agoCode School as a free introduction course that'll get your feet wet and use to a lot of the concepts. It's a nice intro to the O'Reilly book
- baldfat 12y agoI find it funny how Anti-R the Python community can be. Why was the original poster down voted for saying a question about the choice of Python. It was a good question. Python is a good language for data science is why and also people like the language. R is also a great choice for a language and Revolution Analytics just got acquired by Microsoft. I don't understand why Python community says it is hard to write great performing programs and deploy with R. It is by far the most used language in data science and statistics (Open Sourced and possible everything else). If you look at Revolution Analytics and RStudio's Shinny it is very easy to deploy efficient and amazing apps right now.