On Demand Workshop
Introduction to Polars
Get up to Speed With Polars: A Modern, Extremely Performant Data-Processing Library
Polars, written in Rust, is a high-performance data-processing library that offers features such as out-of-core data streaming, true multithreading, a vectorized query engine, and lazy evaluation. In many scenarios, it outperforms popular alternatives like Pandas, Dask, and Spark.
Date
On-Demand
Location
Online
Language
English
Speakers
1
Workshop Highlights
Unique Features of Polars
Understand what sets Polars apart in the data-processing landscape
Practical Demonstrations
Learn through examples of data transformations and filtering using Polars
Q&A with Polars founder
Gain insights from one of the founders of Polars
Who Should Watch Polars Workshop:
This session is ideal for professionals who:
- Have experience with Python and seek to enhance their data-processing skills using Polars.
- Are new to data analysis or currently use tools like Pandas, Spark, or Dask, and wish to explore how Polars compares.
- Are interested in the latest advancements in data-processing frameworks.
About the trainer
Enrico Erler has a background in computational neuroscience, utilizing statistics and data science to explore human behavior. With extensive experience teaching mathematics, statistics, and data science, Enrico is passionate about sharing his knowledge, particularly in the field of deep learning.
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Don’t miss the opportunity to elevate your data-processing proficiency with Polars. Access the on-demand “Introduction to Polars” workshop today.
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