[Online] Polars for Data Analysis in Python
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Details
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?
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How to Join the Webinar
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You can join via your browser (no app download required). Use Chrome or Firefox. Pre-register for the webinar:
https://www.bigmarker.com/neo4j/Data-Umbrella-Webinar
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Video Recording
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This event will be recorded and placed on our YouTube. We usually have it up within 24 hours of the event. Subscribe to our YT and set your notifications: https://www.youtube.com/c/DataUmbrella/
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Time
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16:00 UTC, 9am PT / 12pm ET/ 7pm EAT/ 9:30pm IST
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Additional Details
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Talk Level: Intermediate
Pre-reqs: Intermediate knowledge of Python and pandas
Prep Work: None
Resources: Polars documentation: https://docs.pola.rs/
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[Online] Polars for Data Analysis in Python