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

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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