This code demonstrates how to integrate PySpark with datasets and perform simple data transformations. It loads a sample dataset using PySpark's built-in functionalities or reads data from external sources and converts it into a PySpark DataFrame for distributed processing and manipulation.
os pandas path kaggle curses gspread matplotlib fpdf google-oauth2 shutil linearregression pyspark-python kaggle-api pathlib pyspark-sql sparksession vectorassembler window-pyspark
-
Updated
Mar 31, 2025 - Python