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Update Polars README.md

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Link to tracking issue for source of truth

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@@ -4,26 +4,9 @@ _🚧 This collection is a work in progress. Please help us add notebooks!_
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  This collection of marimo notebooks is designed to teach you the basics of data wrangling using a Python library called Polars.
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- **Planned notebooks.**
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- Any notebook with the status "🚧" needs a contributor! Please file an issue if you plan to contribute.
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- | Notebook | Description | Status |
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- | ---------------------- | ---------------------------------------------------------------------------- | ------ |
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- | Why Polars | An introduction to Polars and its advantages over other Dataframe libraries. | βœ… |
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- | Series | Homogenous columns of data | 🚧 |
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- | DataFrames | The central datastructure for structured data | 🚧 |
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- | Loading data | Loading data from various different sources | 🚧 |
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- | Basic operations | Basic operations on data | 🚧 |
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- | Working with columns | Expression expansion and columns | 🚧 |
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- | Data types | Basic types and casting | 🚧 |
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- | Strings | Working with strings | 🚧 |
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- | Missing data | Handling missing data | 🚧 |
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- | Aggregations | Group bys and aggregations | 🚧 |
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- | Window functions | Advanced expressions with windowing functions | 🚧 |
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- | User-defined functions | Using custom Python operations | 🚧 |
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- | NumPy functions | Applying NumPy functions to DataFrames | 🚧 |
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- | Lazy execution | Lazily process queries with LazyFrames | 🚧 |
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  **Running notebooks.** To run a notebook locally, use
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  This collection of marimo notebooks is designed to teach you the basics of data wrangling using a Python library called Polars.
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+ **Help us build this course! βš’οΈ**
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+ We're seeking contributors to help us build these notebooks. Every contributor will be acknowledged as an author in this README and in their contributed notebooks. Head over to the [tracking issue](https://github.com/marimo-team/learn/issues/40) to sign up for a planned notebook or propose your own.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  **Running notebooks.** To run a notebook locally, use
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