Databricks Certified Machine Learning - Associate
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In the context of using Pandas API on Spark, what is the purpose of importing and using the Pandas on Spark APIs, and how do you import them?
Explanation:
The purpose of importing and using the Pandas on Spark APIs is to provide a familiar Pandas-like API for data manipulation, which can be beneficial for scaling data pipelines without much refactoring. The correct way to import the Pandas on Spark APIs is by using 'from pyspark.pandas.api import *'. This will provide access to the Pandas on Spark functionality, allowing you to perform operations similar to those in Pandas, but on Spark DataFrames.