PySpark-Tutorial provides basic algorithms using PySpark

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• Updated May 26, 2025
• Jupyter Notebook

Demonstrations of subqueries (correlated, uncorrelated, complex, common table expressions), summary queries (aggregate, grouping, summarizing, window, named window, frame functions), joins, date time data types (passing, extracting, date time calculations), IF/IF NULL/COALESCE/CASE statements, regular expressions, ranking functions

case casting regular-expressions converting coalesce subqueries-and-joins ranking-functions

• Updated Nov 25, 2024

📚 Master PySpark in 18 days with structured lessons, hands-on tasks, and an end-to-end project, covering essential concepts and ML model training.

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• Updated Oct 18, 2025