Python vs R for Sports Analytics

The main question I get asked is what language someone who is learning sports analytics should learn, Python or R.
In this video, I'll go over the differences, benefits, and negatives of each.
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[@abinthomas10]

Plzz upload more football analytics stuffs😭

[@ГорСарибекян-д2д]

thanks! now i use both: R seems simplier, but Python is more like a classic programming language (i started from C and C++)

[@scottnicholls-ytacc2190]

I think R is great and totally agree with the ease of using if for visualisations and stats including machine learning. Only thing I general wish it was better at for a sports analyst perspective is Computer/Machine Vision. OpenCV seems soooo much better than anything I've managed to find on R :(

[@alphaena1]

can not really understand your critique of R: I can do all those things in R (scraping, ML) with the additional benefit of learning the tidyverse syntax, so I can understand SQL as an add on as well...

[@victorpaulinodesousa8400]

Great Video!

[@bodo3471]

Is it possible to get into this sports analytics industry without knowing any programming language. Because i am really interested in sports statistics and everything connected to it, however i do not find coding interesting and i cannot do it.

[@McKayJohns]

It's tough.. There are more technical analysis paths that could be interesting, most are going to require coding

[@DrumStyxOfficial]

Can you help me scrape Amazon for soccer jerseys

[@McKayJohns]

5 dollars

[@joeosborne980]

Big data