3 ms·

There seems to be a lot of similar functionality (although in a very different paradigm) to Pandas, I'd be very interested to see performance benchmarks between

There seems to be a lot of similar functionality (although in a very different paradigm) to Pandas, I'd be very interested to see performance benchmarks between the two on some common pipelines (csv -> filter -> aggregate -> SQL)

entilzha 9y ago
For operations where vectorization pandas will be much faster since its based on numpy. That being said, there are things which are very awkard to do in pandas which are very easy in pyfunctional