Data Analysis with Polars and Python
English | Tutorial | Size: 5.4 GB
In this 22-hour course, you’ll learn efficient, scalable data analysis with Polars and Python. This course covers everything from setting up your Python environment to advanced topics like lazy evaluation and optimizing query plans for large datasets. You’ll master how to manipulate, filter, reshape, and join data with Polars, helping you work with large datasets more efficiently.
What I will be able to do after this course
Analyze large datasets efficiently using Polars and Python
Build and manipulate Series and DataFrames with expressions
Filter, join, reshape, and aggregate data confidently
Work with text, dates, lists, structs, and categorical data
Apply lazy evaluation for scalable data processing
Course Instructor(s)
Boris Paskhaver is a New York City-based software engineer, author, and Udemy instructor. He focuses on creating comprehensive courses that make programming accessible, helping others unlock the potential of coding, especially in Python and JavaScript.
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