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# Learn Polars
_🚧 This collection is a work in progress. Please help us add notebooks!_
This collection of marimo notebooks is designed to teach you the basics of data wrangling using a Python library called Polars.
**Planned notebooks.**
Any notebook with the status "🚧" needs a contributor! Please file an issue if you plan to contribute.
| Notebook | Description | Status |
| ---------------------- | ---------------------------------------------------------------------------- | ------ |
| Why Polars | An introduction to Polars and its advantages over other Dataframe libraries. | ✅ |
| Series | Homogenous columns of data | 🚧 |
| DataFrames | The central datastructure for structured data | 🚧 |
| Loading data | Loading data from various different sources | 🚧 |
| Basic operations | Basic operations on data | 🚧 |
| Working with columns | Expression expansion and columns | 🚧 |
| Data types | Basic types and casting | 🚧 |
| Strings | Working with strings | 🚧 |
| Missing data | Handling missing data | 🚧 |
| Aggregations | Group bys and aggregations | 🚧 |
| Window functions | Advanced expressions with windowing functions | 🚧 |
| User-defined functions | Using custom Python operations | 🚧 |
| NumPy functions | Applying NumPy functions to DataFrames | 🚧 |
| Lazy execution | Lazily process queries with LazyFrames | 🚧 |
**Running notebooks.** To run a notebook locally, use
```bash
uvx marimo edit <file_url>
```
You can also open notebooks in our online playground by appending marimo.app/ to a notebook's URL:
[https://marimo.app/github.com/marimo-team/learn/blob/main/polars/01_why_polars.py](https://marimo.app/github.com/marimo-team/learn/blob/main/polars/01_why_polars.py).
**Authors.**
Thanks to all our notebook authors!
* [Koushik Khan](https://github.com/koushikkhan)
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