Ultimate Python Polars for Data Analytics / Nejlevnější knihy
Ultimate Python Polars for Data Analytics

Kód: 51525500

Ultimate Python Polars for Data Analytics

Autor Sunny Khilare

Design Optimized, Large-Scale Data Workflows Using Python PolarsKey Features● Get a free one-month digital subscription to www.avaskillshelf.com● Progress from Polar fundamentals to scalable, production-grade data pipelines.● Leve ... celý popis

903


Skladem u dodavatele
Odesíláme za 9-15 dnů
Přidat mezi přání

Mohlo by se vám také líbit

Dárkový poukaz: Radost zaručena

Objednat dárkový poukazVíce informací

Více informací o knize Ultimate Python Polars for Data Analytics

Nákupem získáte 90 bodů

Anotace knihy

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

Parametry knihy

903

Oblíbené z jiného soudku



Osobní odběr Praha, Brno a 46811 dalších

Copyright ©2008-26 nejlevnejsi-knihy.cz Všechna práva vyhrazenaSoukromíCookies


Můj účet: Přihlásit se
Všechny knihy světa na jednom místě. Navíc za skvělé ceny.

Nákupní košík ( prázdný )

Vyzvednutí v Balikovně a PPL
boxech
zdarma nad 1 499 Kč.

Nacházíte se: