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Data Processing and Pipeline Optimization with Polars

Updated 07/2026
Master Polars, a high-performance library for tabular data in Python, and learn to build pipelines that scale to any size.
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PythonData Manipulation
11 hr

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Track Description

Data Processing and Pipeline Optimization with Polars

Get hands-on with Polars, a fast and efficient package for processing tabular data in Python, and learn how to take your pipelines from first draft to production.You'll start with the basics of transforming, cleaning, and visualizing data, then build on those skills with intermediate techniques like text manipulation, time series analysis, joins, and custom expressions for deeper analysis.The track finishes by teaching you to scale and optimize your pipelines: reading query plans, working with Parquet, CSV, and database sources, using advanced data types, and streaming large datasets in batches. You'll come away able to build reliable, well-tested pipelines that handle data of any size.

Prerequisites

There are no prerequisites for this track

  • Course

    1

    Introduction to Polars

    Learn how to efficiently transform, clean, and analyze data using Polars, a Python library for fast data manipulation.

Data Processing and Pipeline Optimization with Polars
3 Courses
Track
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