What we’re about
Data Umbrella
ABOUT
Our mission is to provide a welcoming and educational space for under-represented persons in the fields of data science, machine learning, deep learning, artificial intelligence and analytics. All skill levels are welcome. Members can be of any self-identified category (gender, race, age, sexual orientation, disability and others).
ALLIES: We welcome allies of any background who (a) Follow our Code of Conduct and (b) Support our mission to join the community and share their skills and network to increase diversity in data science.
CODE OF CONDUCT
All members must read and adhere to the CoC, which applies to all spaces, online and in-person. Our CoC is adopted from NumFOCUS and is available here: https://www.dataumbrella.org/about/code-of-conduct
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Upcoming events (1)
See all- [Online] Polars for Data Analysis in PythonLink visible for attendees
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--------------------------------
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/----------------------------------------
Time
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16:00 UTC, 9am PT / 12pm ET/ 7pm EAT/ 9:30pm IST----------------------------------------
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 cover photo](https://secure.meetupstatic.com/photos/event/8/f/9/4/event_523056756.webp "[Online] Polars for Data Analysis in Python")
