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 recipes
Discover data manipulation techniques to apply across multiple data problems
Purchase of the print or Kindle book includes a free PDF eBook
Book Description
Polars 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. Dive into the world of Polars, a high-performance DataFrame library designed for efficient data processing and analysis. This cookbook takes a practical approach to unlocking the full potential of Polars through detailed, step-by-step recipes. Starting with installation and basic operations, this book guides you through data manipulation, advanced querying, and performance optimization techniques. You’ll learn how to handle large datasets, perform complex transformations, and leverage Polars’ powerful features for data science tasks. As you progress, you’ll explore Polars’ integration with other tools and libraries, and discover how to deploy Polars in both onpremises and cloud environments. You’ll also explore use cases for data engineering, time series analysis, statistical analysis, and machine learning, providing essential strategies for securing and optimizing your Polars workflows. By the end of this book, you’ll have acquired the knowledge and skills to build scalable, efficient, and reliable data processing solutions using Polars.
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 performing list and array operations
Discover how 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 for
This book is for data analysts, data scientists, and data engineers who want to learn how to use Polars in their workflows. Working knowledge of the Python programming language is required. Experience working with a DataFrame library such as pandas or PySpark will also be helpful.