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docs: fix broken links
Signed-off-by: Ion Koutsouris <[email protected]>
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docs/integrations/delta-lake-daft.md

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@@ -89,15 +89,15 @@ Daft supports multiple write modes. See the [Daft documentation](https://www.get
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## What can I do with a Daft DataFrame?
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Daft gives you [full-featured DataFrame functionality](https://www.getdaft.io/projects/docs/en/latest/user_guide/basic_concepts.html), similar to what you might be used to from pandas, Dask or PySpark.
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Daft gives you full-featured DataFrame functionality, similar to what you might be used to from pandas, Dask or PySpark.
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On top of this, Daft also gives you:
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- **Multimodal data type support** to work with Images, URLs, Tensors and more
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- **Expressions API** for easy column transformations
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- **UDFs** for multi-column transformation, incl. ML applications
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Check out the [Daft User Guide](https://www.getdaft.io/projects/docs/en/latest/user_guide/index.html) for a complete list of DataFrame operations.
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Check out the [Daft User Guide](https://www.getdaft.io/projects/docs/en/stable/index.html) for a complete list of DataFrame operations.
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## Data Skipping Optimizations
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Daft has a rich multimodal type-system with support for Python objects, Images, URLs, Tensors and more.
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The [Expressions API](https://www.getdaft.io/projects/docs/en/latest/api_docs/expressions.html) provides useful tools to work with these data types. By combining multimodal data support with the [User-Defined Functions API](https://www.getdaft.io/projects/docs/en/latest/api_docs/udf.html) you can [run ML workloads](https://www.getdaft.io/projects/docs/en/latest/user_guide/tutorials.html#mnist-digit-classification) right within your DataFrame.
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The [Expressions API](https://www.getdaft.io/projects/docs/en/latest/api_docs/expressions.html) provides useful tools to work with these data types. By combining multimodal data support with the [User-Defined Functions API](https://www.getdaft.io/projects/docs/en/latest/api_docs/udf.html) you can run ML workloads right within your DataFrame.
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Take a look at the notebook in the [`delta-examples` Github repository](https://github.com/delta-io/delta-examples) for a closer look at how Daft handles URLs, images and ML applications.
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## Contribute to `daft`
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Excited about Daft and want to contribute? Join them on [Github](https://github.com/Eventual-Inc/Daft) 🚀
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Like many technologies, Daft collects some non-identifiable telemetry to improve the product. This is stricly non-identifiable metadata. You can disable telemetry by setting the following environment variable: `DAFT_ANALYTICS_ENABLED=0`. Read more in the [Daft documentation](https://www.getdaft.io/projects/docs/en/latest/faq/telemetry.html).
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Like many technologies, Daft collects some non-identifiable telemetry to improve the product. This is stricly non-identifiable metadata. You can disable telemetry by setting the following environment variable: `DAFT_ANALYTICS_ENABLED=0`. Read more in the [Daft documentation](https://www.getdaft.io/projects/docs/en/stable/resources/telemetry/).

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