Ultimate Python Polars for Data Analytics: Transform Your Large-Scale Data into High-Performance Analytics...

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Sunny Khilare

Ultimate Python Polars for Data Analytics

Name: Ultimate Python Polars for Data Analytics
Price: 69.76 AUD
Availability: OutOfStock
ISBN: 9789349887350

Transform Your Large-Scale Data into High-Performance Analytics with Python Polars

Sunny Khilare

$81.95 $69.76

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English

Orange Education Pvt Ltd
18 February 2026

Database software

Summary
Details

Design Optimized, Large-Scale Data Workflows Using Python Polars

Key Features

● Get a free one-month digital subscription to www.avaskillshelf.com

● Progress from Polar fundamentals to scalable, production-grade data pipelines.

● Leverage lazy execution and query optimization for high-performance analytics.

● Apply Polars to real-world ML, big data, and cloud-scale ETL workflows.

Book Description

This book, Ultimate Python Polars for Data Analytics, is a hands-on guide to mastering this high-performance framework. You will begin by understanding Polars' architecture, execution engine, and columnar memory model-core concepts that drive its exceptional speed and efficiency. From there, the book moves into advanced data transformations, multi-table joins, window functions, and aggregation strategies designed for large-scale datasets.

What you will learn

● Understand Polars' architecture, execution engine, and memory model.

● Design scalable data pipelines using lazy evaluation strategies.

● Perform complex transformations, joins, and aggregations efficiently.

Who is This Book For?

This book is tailored for data analysts, data engineers, data scientists, and machine learning practitioners who want to build high-performance, scalable data workflows using Python. Readers should be comfortable with Python programming and have basic familiarity with SQL and Pandas for data manipulation.

Table of Contents

1. Introduction to Polars

2. Core Concepts of Data Frames and Data Structures

3. Polars Configuration

4. I/O Operations and Basic Data Manipulation

5. Complex Data Transformation with Polars

6. Data Visualization

7. SQL Integration with Polars

8. Extending Polars with UDF and PyO3

9. Working with Large Datasets

10. Profiling, Optimization, and Testing

11. Market Data Analysis Using Polars

12. Machine Learning with Polars

13. Big Data Analysis with Polars

14. Emerging Trends and Best Practices

Index

By: Sunny Khilare
Imprint: Orange Education Pvt Ltd
ISBN: 9789349887350
ISBN 10: 9349887355
Pages: 336
Publication Date: 18 February 2026
Audience: Adult education , Tertiary & Higher Education
Format: Undefined
Publisher's Status: Active