1.
Introduction
2.
Getting started
3.
Polars expressions
❱
3.1.
Expressions
3.2.
Contexts
3.3.
GroupBy
3.4.
Folds
3.5.
Window functions
3.6.
List context and row-wise compute
3.7.
Numpy universal functions
3.8.
Custom functions
3.9.
Examples
3.10.
API
3.11.
Video introduction
4.
Indexing
5.
Data Types
6.
Coming from Pandas
7.
Coming from Apache Spark
8.
Time-series
9.
How can I?
❱
9.1.
IO
❱
9.1.1.
CSV files
9.1.2.
Parquet files
9.1.3.
Multiple files
9.1.4.
Read from a database
9.1.5.
Interact with AWS
9.1.6.
Interact with Google BigQuery
9.1.7.
Interact with Postgres
9.1.8.
Interoperability
❱
9.1.8.1.
Arrow
9.1.8.2.
NumPy
9.1.9.
Data handling
❱
9.1.9.1.
Process strings
9.1.9.2.
Process timestamps
10.
Performance
❱
10.1.
Strings
11.
Optimizations
❱
11.1.
Lazy API
❱
11.1.1.
Predicate pushdown
11.1.2.
Projection pushdown
11.1.3.
Other optimizations
12.
Reference guides
Light
Rust
Coal
Navy
Ayu (default)
Polars - User Guide
Video Introduction
Don't enjoy reading? Take a look at this introduction video on
Polars
and its expressions.