Python Polars, The Definitive Guide, Janssens J., Nieuwdorp T., 2025

Python Polars, The Definitive Guide, Janssens J., Nieuwdorp T., 2025.

   This book is designed for anyone looking to leverage the power of Polars in Python to transform, analyze, and visualize data more efficiently and effectively. Whether you’re a seasoned data analyst, a data engineer, or even someone new to the world of data science, you’ll find valuable insights and practical examples that can be applied directly to real-world challenges. To illustrate the diverse ways in which Polars can benefit different users, let’s take a look at two key personas: Hanna, a seasoned data analyst, and Kosjo, an experienced data engineer.




Why We Focus on Python Polars.
Since Polars is built in Rust and has language bindings for Python, R, SQL, JavaScript, and Julia, you might be wondering why we focus on its Python API.

According to the 2024 Stack Overflow Developer Survey, Python is the most popular programming language among respondents who are learning to code, and the fourth most popular among professional developers. This is not surprising, since Python is known for its simplicity, readability, and versatility and is widely used in data science, machine learning, web development, and more.

This popularity is reflected in the Polars community, where the Python API is the most complete, most used, and most often updated API. Furthermore, Python is widely regarded as the language of choice for data analysis and data processing, and most data scientists and data engineers are familiar with it.

Content.
Foreword.
Preface.
I. Begin.
1. Introducing Polars.
2. Getting Started.
3. Moving from pandas to Polars.
II. Form.
4. Data Structures and Data Types.
5. Eager and Lazy APIs.
6. Reading and Writing Data.
III. Express.
7. Beginning Expressions.
8. Continuing Expressions.
9. Combining Expressions.
IV. Transform.
10. Selecting and Creating Columns.
11. Filtering and Sorting Rows.
12. Working with Textual, Temporal, and Nested Data Types.
13. Summarizing and Aggregating.
14. Joining and Concatenating.
15. Reshaping.
V. Advance.
16. Visualizing Data.
17. Extending Polars.
18. Polars Internals.
Appendix. Accelerating Polars with the GPU.
Index.
About the Authors.



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