in python while utilizing the libraries Pandarallel seaborn, pandas, and numpy then read in the dataset 'spring' from seaborn Keep in touch with some capability that does a fairly computationally complex errand on a worth/line of information. Utilizing python time capabilities, apply this capability on the dataframe and time it. Then, at that point, apply this equivalent capability on the dataframe utilizing pandarallel's parallel_apply, and time this. Try different things with the timing/various capabilities Analyze the run times
in python while utilizing the libraries Pandarallel seaborn, pandas, and numpy then read in the dataset 'spring' from seaborn Keep in touch with some capability that does a fairly computationally complex errand on a worth/line of information. Utilizing python time capabilities, apply this capability on the dataframe and time it. Then, at that point, apply this equivalent capability on the dataframe utilizing pandarallel's parallel_apply, and time this. Try different things with the timing/various capabilities Analyze the run times
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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