He has been saying exactly this for many years and has lead many efforts to improve both the implementation and API via projects like arrow and pyarrow.
Also, pandas was purpose built for a pretty specific domain of financial timeseries and cross-sectional data analysis at a time when the python ecosystem was much younger and very different from today.
It's not his fault it became so wildly successful! (actually it was - it's a great piece of sofware :))
Also, pandas was purpose built for a pretty specific domain of financial timeseries and cross-sectional data analysis at a time when the python ecosystem was much younger and very different from today.
It's not his fault it became so wildly successful! (actually it was - it's a great piece of sofware :))