Polars
- Category
- Databases and data
- Docs outline
- 12 sections
Official docs outline
docs.pola.rs- Data Types and Structures
Series, DataFrame, data types and the Arrow-based memory model.
- Expressions
Expressions and contexts such as select, with_columns, filter and group_by.
- Lazy API
Lazy evaluation, query plans and optimizations.
- Streaming Engine
Processing larger-than-memory data in batches.
- Expressions Guide
Operators, column selections, aggregation, window functions and folds.
- Transformations
Joins, concatenation, pivots and unpivots.
- Input and Output
Reading and writing CSV, Parquet, JSON, databases and cloud storage.
- Missing Data
Nulls versus NaN and filling or dropping missing values.
- SQL Interface
Running SQL queries on DataFrames with SQLContext.
- Expression Plugins
Extending Polars with Rust expression plugins.
- Migrating from Pandas
Conceptual differences from pandas.
- GPU Support
Running Polars queries on NVIDIA GPUs.
Each section links to the official page. Titles and summaries by Extra Credit; the docs belong to their authors.
