Polars - An Introduction to Polars v1 for Python Data Analytics!

☕️ 𝗕𝘂𝘆 𝗺𝗲 𝗮 𝗰𝗼𝗳𝗳𝗲𝗲: To support the channel and encourage new videos, please consider buying me a coffee here: ko-fi.com/bugbytes In this video we'll introduce the Polars package for data analytics in Python. This is a modern, rapidly growing alternative to Pandas for data analysis. We'll look at the core data structures (Series, DataFrames) and will look at how to select rows/columns, add new columns, drop columns, aggregate and sort data, handle null values, plot data to charts, and how to read/write data from/to files. 📌 𝗖𝗵𝗮𝗽𝘁𝗲𝗿𝘀: 00:00 Intro 00:26 Introduction to Polars 01:12 Installing Polars 02:14 Series objects in Polars 04:26 DataFrame objects in Polars 07:08 Selecting columns from DataFrames 08:53 Selecting rows with DataFrame filter method 11:05 Adding and Dropping columns from DataFrames 13:59 Sorting DataFrames 15:02 Grouping and Aggregation with DataFrames 19:17 Handling null values with Polars 24:00 Serialising data to files with Polars 25:33 Plotting DataFrame data with Polars 28:33 Polars and Pandas comparison 𝗦𝗼𝗰𝗶𝗮𝗹 𝗠𝗲𝗱𝗶𝗮: 📖 Blog: bugbytes.io/posts/ 👾 Github: github.com/bugbytes-io/ 🐦 Twitter: twitter.com/bugbytesio 📚 𝗙𝘂𝗿𝘁𝗵𝗲𝗿 𝗿𝗲𝗮𝗱𝗶𝗻𝗴 𝗮𝗻𝗱 𝗶𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: Polars: docs.pola.rs/ Comparison with Pandas: docs.pola.rs/user-guide/migration/pandas/ #python #polars #datascience #data