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Time series analysis is where R shines compared to Python.



Can you substantiate your comment? What would you like to see in a python tool that R does uniquely well?


Not parent, but easy: https://cran.r-project.org/web/packages/forecast/index.html

/e: I'm a bit out of this game for 2-3 years now, but Python had nothing comparable. Prophet is suboptimal at best. Some things are implemented here or there, but it's all over the place. So I agree that R really shines here.


To be fair, Darts looks pretty good relative to forecast: https://github.com/unit8co/darts

I would generally prefer R for this kind of stuff as the experts generally write the code, but Darts seems OK and is well-tested, at the very least (haven't had a chance to use it in anger yet).


> Python had nothing comparable

This is in part why we built Darts. Now I think we can say the situation is quite different. Darts offers many things offered by the R forecast package, and then some (for instance the ability to train ML models on large datasets made of multiple potentially high-dimensional series).


Wonderful, I'm gonna go check this out in great depth!


I can also recommend the book and blog by Rob Hyndman! https://robjhyndman.com/hyndsight/




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