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Author: Jeroen Janssens and Thijs Nieuwdorp

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Want to speed up your data analysis and work with larger-than-memory datasets? Python Polars offers a blazingly fast, multithreaded, and elegant API for data loading, manipulation, and processing. With this hands-on guide, you'll walk through every aspect of Polars and learn how to tackle practical use cases using real-world datasets.

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【One-Line Pitch】 Want to speed up your data analysis and work with larger-than-memory datasets? Python Polars offers a blazingly fast,… 【Book Arc】 - **Opening (~0%–12%)**: Python Polars offers a blazingly fast, multithreaded, and elegant API for data loading, manipulation, and processing.; learned that my implementation was much slower than pandas. - **Early (~12%–35%)**: This element indicates a warning or caution.; O’Reilly, whose guidance and feedback have been invaluable. - **Middle (~35%–65%)**: gement, allowing it to process data much faster than Pandas.; you up and running, and to help you start using it yourself. - **Late (~65%–88%)**: select ( " neighborhood " , " borough " , " geometry " ) .; This will be the 2nd chapter of the final book. - **Ending (~88%–100%)**: Polars supports a lot of optional dependencies.; You can install them all with the database tag. 【Key Takeaways】 - **Python Polars offers a…** (Opening): Python Polars offers a blazingly fast, multithreaded, and elegant API for data loading, manipulation, and processing. - **learned that my implem…** (Opening): learned that my implementation was much slower than pandas. - **utors, we’re tackling…** (Opening): utors, we’re tackling many interesting technical challenges. - **This element indicates…** (Early): This element indicates a warning or caution. - **O’Reilly** (Early): O’Reilly, whose guidance and feedback have been invaluable. - **What Is This Thing Cal…** (Early): What Is This Thing Called Polars? 【Reading Tips】 - Use Passage locations below to jump into the text and set reading anchors - If this is a brief outline, click Regenerate (top right) for a synthesized guide 【Coverage Limits】 Compressed outline without the model (~33 index chunks). Full structured guide needs AI available.
Excerpt 1
venth Release 2024-12-03: Eighth Release See http://oreilly.com/catalog/errata.csp?isbn=9781098156084 for release details. The O’Reilly logo is a registered...
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Excerpt 2
O’Reilly, whose guidance and feedback have been invaluable. Your meticulous attention to detail, insightful advice, and friendly nudges to keep going have gr...
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Excerpt 3
ther packages: Apache Spark, Pandas, Dask, DuckDB, and Vaex. Usability While performance may be the initial draw, many users find themselves staying with Pol...
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Excerpt 4
a, which is what this fourth part, Transform , is all about. Chapter 10 explains how to select and create columns and work with column names and selectors. C...
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g rows in Chapter 11 . Here’s what the DataFrame looks like. Because it’s too wide to comfortably show on the page, we use print() three times to show all th...
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Excerpt 6
ependencies needed to follow along the examples of the book. Downloading the Project It’s possible to download the project files in two ways. The first way i...
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Excerpt 7
it in a bash session, instead of interpreting it as Python. For example, you can list the contents of the current directory by using the ! mark: ! ls Another...
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Excerpt 8
) Set the maximum width of a table in characters. pl.Config.set_thousands_separator(…) Set the thousands grouping separator character. pl.Config.set_verbose(...
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Python
ISBN: 1098156072
Publish Year: 2025
Language: English
Pages: 400
File Format: EPUB
File Size: 7.3 MB