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youamp;#39;ve probably heard about pandas for data science but have you heard about polars like pandas polars has data frames in series but it was designed for Speed from the ground up in Rust but could it really be that much faster letamp;#39;s use pandas to read in a huge data set with over 6 million rows of flight data then letamp;#39;s run some group by aggregations and find the average departure and arrival delay hereamp;#39;s the result and it seems to have run pretty fast but letamp;#39;s go ahead and run time it which will run it a few times and show us the average we can see it takes about 2.8 seconds for this code to run letamp;#39;s print out the first five rows of the results and try to code this up in polars you can see the syntax is slightly different than pandas but if we look at our aggregated results they should be identical to what we had in pandas letamp;#39;s put it to the test by timing it and itamp;#39;s four times faster than pandas
