#Window-Functions

Advanced pandas GroupBy and Window Functions Dataset Setup All examples use a retail sales dataset with transactions across stores, regions, and product categories. import pandas as pd import numpy as np np.random.seed(42) dates = …

Advanced SQL: Window Functions & CTEs Building on our SQL basics, this post explores powerful features that allow for complex data analysis directly within the database. Common Table Expressions (CTEs) CTEs provide a way to write auxiliary …

PySpark Data Patterns: From Pandas User to Spark Developer Overview This guide is structured for someone already comfortable with basic PySpark syntax coming from a Pandas background. It covers Spark SQL with views, essential transformation patterns …

Session Outline: Advanced GroupBy and Window Functions in Pandas 1. Introduction to GroupBy and Its Role in Data Engineering (5 minutes) Overview: Recap of GroupBy as a split-apply-combine paradigm, as defined by Wes McKinney in Python for Data …