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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