ddotta/awesome-polars 2023-07-19 on GitHub

New Additions

Python package seaborn_polars - Python package to plot Polars DataFrames and LazyFrames with seaborn by @pavelcherepan.
Python package functime - Machine learning Python package built on Polars for time-series predictions by @DescendantAI . According to the developpers, it's the world's fastest and most feature-full machine learning forecasting library !

EDA with Polars: Step-by-Step Guide for Pandas Users (Part 1) - A blog post that describes the main data processing operations with Polars in Python by @AntonsRuberts. Code used is available in this notebook.
EDA with Polars: Step-by-Step Guide to Aggregate and Analytic Functions (Part 2) - A blog post that shows how to perform with Polars and Python some fairly complex aggregates, rolling statistics and more by @AntonsRuberts. Code used is available in this notebook.
Pyspark or Polars — What should you use? - A blog post that explores and breaks down some of the similarities between PySpark and Polars. It provides insights on when to choose one over the other by Vivek Kovvuru.
Getting Started with the Polars Data Manipulation Library - A blog post that presents some simple features of Polars using Python by Juveriya Mahreen.
8 ways pandas really losing to Polars for quick market data analysis - A newsletter that compares the performance of Polars to Pandas for many common data manipulation techniques by PyQuant News.

How to update mass data using Polars DataFrame ⏳ 9 min - A video that presents the process of writing code to update mass columns across CSV or data files by @AmitXShukla. Notebook used for the video in this github repo.

Full Changelog: 2023-06-28...2023-07-19