Polars Cookbook

Leverage a lightning fast DataFrame library for efficient data wrangling in Python

Key Features

Unlock the power of Python Polars for faster and more efficient data analysis workflows
Master the fundamentals of Python Polars with step-by-step practical recipes
Discover data manipulation techniques to apply across multiple data problems

Book DescriptionPolars cookbook is a complete guide that not only helps you get started with Python Polars, but also gives you effective solutions to your day-to-day data problems.
The book begins by teaching you the fundamentals of Polars including its key features, covering essential data operations such as filtering data, selecting columns, and summarising data. It then goes on to teach common data transformations such as aggregations, window functions, and string manipulations. You’ll also discover the ways to handle missing values, work with lists and arrays, and reshape your data. The book gets meaty when you come across chapters teaching you about time series analysis, working with common data sources, and testing and debugging in Polars.
By the end of the book, you will have learned to apply various data transformations in Polars, understanding exactly how to solve common data problems. You unlock the potential of Polars by going through the book, while keeping the practical recipes you can refer to when needed. The book helps you be confident in using Polars to improve your data workflows.What you will learn

Read from different data sources and write to various files and databases
Apply aggregations, window functions, and string manipulations
Perform common data tasks such as handling missing values and list and array operations
Learn to reshape and tidy your data by pivoting, joining, and concatenating
Analyze your time series data in Python Polars
Create better workflows with testing and debugging

Who this book is forThis book is for data analysts, data scientists, and data engineers who want to learn to use Polars in their workflows. You should have working knowledge of the Python programming language. Preferably, you have experience working with a DataFrame library such as pandas or PySpark. If you’re looking to improve your data pipelines or data science/analysis workflows with Python Polars, this book is ideal to get you started and be the guide in your journey.