Polars

Accelerate your Polars skills with our instructor-led courses at the Polars Academy. Get your team up and running with Polars in our practical Essentials training, or dive into building your own Plugins. Connect with our team today and discuss your learning goals at https://pola.rs/academy/

It's the perfect time to learn Python Polars!! 🐍🐻❄️ It's already the fastest data science library out there, and it just got an incredible upgrade in the form of a brand new GPU engine! So in this step by step tutorial, we will explore Polars in great detail, learning about Lazy Frames, Queries, and how to turn them into graphs with millions of data nodes! In our workflow, we will use an enormous dataset with 260 million rows, which may sound like a bit too much, but this is where Polars really shines and stands out among the competition! 🤩 We will also take the new GPU engine for a spin both locally (if you have a GPU) and on Google Colab (if you don't 😉). By the end of this video, you'll be fully comfortable with using Polars both on CPU and GPU, and you'll have all the tools to continue exploring it on your own! Please find the full tutorial on YouTube in the link below: https://lnkd.in/gcbTv6zC Cheers! 😀 #python #pythonprogramming #polars #pandas #datascience #querying #database #cuda #gpu #pythonprojects #pythonforbeginners #graphs #plotting #dataanalytics #dataanalysis #dsa #datavisualization #gpu #tutorial #beginners NVIDIA AI Polars

🚨 Last call for joining the webinar: Get up to Speed With Polars On October 22, with Enrico E., discover how Polars can supercharge your workflows with multi-threading processing and lazy evaluation. What’s more on the agenda? ⚡ Sneak-peak into the Polars API ⚡ Out-of-core processing with the streaming engine ⚡ Showcase: transformations and filtering ⏰ Register now: https://okt.to/Y2czwa. #DataProcessing #Polars #DataScience #Rust #DeepLearning #XebiaAcademy

The team at DB Systel GmbH (a subsidiary of Deutsche Bahn) optimizing Germany’s train schedules realized 20x speedups after switching to Polars. This not only lowers cloud costs with smaller compute instances but also supports the organization’s sustainability goals. Read about their experience in the case study: https://lnkd.in/eV4c2mzy #polars #dataframe #python #data

You know that Polars (the "Lightning-fast DataFrame library for Rust and Python") has totally arrived when you see in the latest #Kaggle competition the following comment line in the official demo code: # You can return either a Pandas or Polars dataframe, though Polars is recommended. (Source: Jane Street Real-Time Market Data Forecasting https://lnkd.in/dVT8bNTJ ) #polars #datascience

Thanks for having me on the SuperDataScience podcast. 🐻❄️ Following Marco Gorelli on the topic of Polars and Narwhals, I will talk about what Polars is and what we are building. https://lnkd.in/eB7Eicfk

Discover how Joulen uses Polars to build a highly scalable, cost-effective infrastructure for analyzing data from renewable energy assets in this case study: https://lnkd.in/egXXMiu2 #dataframe #data #python #polars

Together with NVIDIA RAPIDS we bring GPU acceleration to Polars! Read more in our release blog: https://lnkd.in/e2HNKBRK

Polars 1.7 is out with super fast parallel non-equi joins! There is a new `join_where` method, where you can pass your (non)-equi predicates and Polars will choose the fastest join algorithm based on the predicates given. Full changelog: https://lnkd.in/etXEyqx5

A new case study with Vydia is out! Read how Polars was able to cut CSV processing times from hours to minutes: https://lnkd.in/ePjHas6R #data #dataframes #python #polars