A curated list of Polars talks, tools, examples & articles. Contributions welcome !
A curated list of Polars docs, talks, tools, examples & articles the internet has to offer.
Polars is a lightning-fast DataFrame library for Rust, Python, Node.js and R.
Implemented in Rust, Polars uses Apache Arrow Columnar Format as the memory model.
Just follow the guidelines by either:
To see the latest entries in the list : click here !
57 min
- Talk by @ritchie46 that dives into Polars and sees what makes it so efficient. It will touch on technologies like Arrow, Rust, parallelism, data structures, query optimization and more.28 min
- Talk by @ritchie46 that introduces Polars and some of its design decisions.August 2023 : Polars announces that it has raised a a $4M seed round!
polars
package to use polars DataFrame from Python.tidypolars
python library built on top of polars library that gives access to methods and functions familiar to R tidyverse users.polars
crate to use polars DataFrame with Rust.Polars CLI
is a command line interface for running SQL queries with Polars as backend.Geopolars
Rust crate that extends the Polars DataFrame library for use with geospatial data.rpolars
package to use polars DataFrame from R.tidypolars
package to use polars with tidyverse syntax.polarssql
experimental package which is a DBI-compliant interface to Polars.nodejs-polars
package to use polars DataFrame from Node.js.scala-polars
is a library for using Polars in Scala and Java projects by @chitralverma.polars-df
gems to use Polars with Ruby.37 min
- Introduction to Polars by databricks.14 min
- A short video tutorial to get started coding with Polars by @RobMulla.19 min
- A video that compares Polars and Pandas data frames.12 min
- A video that compares Pandas, Spark and Polars for working with data in Python by @RobMulla.28 min
- A video that reviews some alternatives to Pandas for Python and then demonstrates some Polars features by Juan Luis Cano Rodríguez.12 min
- A video that provides an introduction to Polars for Python by @jeffheaton. Notebook used for the video in this github repo.57 min
- A Polars tutorial series on Youtube by @martinbel. Notebooks and datasets used for the videos available in this github repo.37 min
- A detailed video on Youtube that compares Polars and Pandas by @hu-po.19 min
that explores some basic features of Polars by @ifrankandrade.51 min
- A detailed tutorial video in Spanish that shows 20 Polars functions to perform 80% of the tasks of a data scientist by Naren Castellon.30 min
- A talk that reports an experience switching from Pandas to Polars in a real-world ML project by @datenzauberai. Slides are available here.22 min
- A video that presents 8 distinct tests which demonstrates differences between Pandas and Polars by @vb100. Associated github repo is here.20 min
- A video that presents some mains features of Polars by @mattharrison.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.4 min
- A video that shows how to integrate Polars in a commande line interface by @paiml.10 videos
- A playlist of 10 videos (WIP) that equips you with all the necessary knowledge required to utilize Python Polars Data Frame by @AmitXShukla.55 min
- A podcast by The Developers' Bakery that compares the performance of Polars to Pandas by @MarcoGorelli.Thanks goes to these contributors!