Working With Python Polars

Working With Python Polars
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In the world of data analysis and manipulation, Python has long been the go-to language. With extensive and user-friendly libraries like NumPy, pandas, and PySpark, there’s a solution available for almost any data-driven task. Among these libraries, one name that’s been generating a significant amount of buzz lately is Polars.

Polars is a high-performance DataFrame library, designed to provide fast and efficient data processing capabilities. Inspired by the reigning pandas library, Polars takes things to another level, offering a seamless experience for working with large datasets that might not fit into memory.

In this video course, you’ll learn:

• Why Polars is so performant and attention-grabbing
• How to work with DataFrames, expressions, and contexts
• How to read data into DataFrames
• How to group and aggregate data
• What the lazy API is and how to build lazy queries

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March 04, 2025 at 07:30PM
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