Use it if you find it useful. It still has a much better and more vibrant ecosystem for statistics, including Bayesian statistics and certain kinds of time seri

Use it if you find it useful. It still has a much better and more vibrant ecosystem for statistics, including Bayesian statistics and certain kinds of time series analysis. Data.table is also a serious "power tool", although other non-Pandas data frame libraries like Polars might be dethroning it. Also GGPlot is still awesome, even if you can now get it in Python with Plotnine.