How can I use parallel processing in Pandas?
An example of an AI chatbot conversation about parallel processing in Pandas.
How can I use parallel processing in Pandas?
You can use libraries like Dask or Modin to enable parallel processing in Pandas. Would you like a code example?
Yes, please provide a code example using Dask.
Sure! Here's a simple example:
import dask.dataframe as dd
df = dd.read_csv('large_file.csv')
result = df.groupby('column_name').sum().compute()
This reads a CSV file in parallel and computes the sum of a specified column.
What are the benefits of using Dask over regular Pandas?
Dask can handle larger-than-memory datasets and utilizes multiple cores for faster computations, making it more efficient for big data.
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