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  3. Parallel Programming with Dask in Python

Exercise

Read Dask DataFrames from Parquet

In Chapter 1, you analyzed some Spotify data, which was split across multiple files to find the top hits of 2005-2020. You did this using the dask.delayed() function and a loop. Let's see how much easier this analysis becomes using Dask DataFrames.

dask.dataframe has been imported for you as dd.

Instructions

100 XP
  • Load the Parquet data folder located in "data/spotify_parquet".
  • Use the DataFrame's .nlargest() method to find the top 10 songs by 'popularity'.
  • Convert the delayed object into a pandas DataFrame by computing it.