Understand the DataFrame, the one concept behind Pandas, PySpark, and Polars in Python.

► DataCamp | Data Manipulation in Python https://datacamp.pxf.io/AgRzJx
► DataCamp | Big Data with PySpark https://datacamp.pxf.io/k4JnBn
► DataCamp | Introduction to Polars https://datacamp.pxf.io/gRazzO
► DataCamp | Introduction to Polars https://datacamp.pxf.io/R02xxa

► https://youtu.be/9GVqKuTVANE

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📖 *Table of Content*
0:00 Introduction
0:34 From single values to data structures
4:43 The DataFrame: your table in memory
5:50 Data engineering and analytics (ETL)
7:55 Datacamp
11:41 Pandas: one machine, runs instantly
12:45 PySpark: many machines, lazy
14:29 Polars: the best of both worlds
15:57 Recap

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#python #pandas #pyspark #polars #dataengineering

Pandas vs PySpark vs Polars: The DataFrame Explained Visually