Python Polars The Definitive Guide (8th Early Release) (Jeroen Janssens and Thijs Nieuwdorp)(Z-Library)
Python
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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Whole-book reading guide from stratified index samples; jump to passages in the text
Brief outline
【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】
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【Coverage Limits】
Compressed outline without the model (~33 index chunks). Full structured guide needs AI available.
Passage locations
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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