Treffer: Polars for Data Analysis in Python

Title:
Polars for Data Analysis in Python
Authors:
Fessel, Kimberly
Publisher Information:
Zenodo
Publication Year:
2025
Collection:
Zenodo
Subject Terms:
Data Science, Machine Learning, Computer and information sciences, Python, Programming Languages, Data Cleaning, Open Source, Polars
Document Type:
Fachzeitschrift text
Language:
English
Relation:
https://zenodo.org/records/16816443; oai:zenodo.org:16816443; https://doi.org/10.5281/zenodo.16816443
DOI:
10.5281/zenodo.16816443
Availability:
https://doi.org/10.5281/zenodo.16816443
https://zenodo.org/records/16816443
Rights:
Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode
Accession Number:
edsbas.3838720D
Database:
BASE

Weitere Informationen

Presenation about Polars for Data Umbrella by Kimberly Fessel, recorded on 8 October 2024. The video of the presentation is available on YouTube: https://www.youtube.com/watch?v=5V_MvnwTVwc (~65 min) About the Presentation Discover Polars, the high-performance DataFrame library revolutionizing data analysis in Python. Built on Rust, Polars offers unparalleled speed and efficiency, outperforming pandas, Dask, and even PySpark. Explore its innovative features like lazy evaluation, memory efficiency, and automatic multi-threading, designed to handle large datasets with ease. In this session, you'll learn practical techniques for data manipulation and advanced transformations. We will demonstrate Polars' syntax and capabilities, making it accessible even if you’re new to Polars. Join us to elevate your Python data analysis to the next level. This presentation covers: Section 1: What is Polars and how does it compare to pandas? Section 2: Getting Started with Polars in Python Section 3: Advanced Data Analysis with Polars Section 4: Should you Switch to Polars?