Often -- yes. Always -- no. For example let's try changing/fixing sampling rate of a dataset (.resample() in Pandas). Or something like .cumsum() -- easy with

Often -- yes. Always -- no. For example let's try changing/fixing sampling rate of a dataset (.resample() in Pandas). Or something like .cumsum() -- easy with SQL windowing functions, but man they are cumbersome. Or quickly store the result in .parquet. But all the above doesn't matter, because I feel like 99% of Pandas work involves quickly drawing charts on the data look at it or show to teammates.