How Do You Handle Large Datasets Efficiently Using Python’s Data Science Libraries?

Python’s data science libraries like Pandas and Dask are used for handling large datasets. They offer tools for efficient data manipulation and analysis.

Example with Pandas:

import pandas as pd

# Read large dataset in chunks
for chunk in pd.read_csv('large_file.csv', chunksize=10000):
    process(chunk)