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Update readme to point to dask/dask
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README.md

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Dask Expressions
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================
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Dask DataFrames with query optimization.
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The Implementation is now the default and only backend for Dask DataFrames and was
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moved to https://github.com/dask/dask.
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This is a rewrite of Dask DataFrame that includes query
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optimization and generally improved organization.
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More in our blog posts:
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- [Dask Expressions overview](https://blog.dask.org/2023/08/25/dask-expr-introduction)
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- [TPC-H benchmark results vs. Dask DataFrame](https://docs.coiled.io/blog/tpch.html)
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Example
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-------
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```python
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import dask_expr as dx
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df = dx.datasets.timeseries()
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df.head()
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df.groupby("name").x.mean().compute()
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```
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Query Representation
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--------------------
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Dask-expr encodes user code in an expression tree:
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```python
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>>> df.x.mean().pprint()
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Mean:
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Projection: columns='x'
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Timeseries: seed=1896674884
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```
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This expression tree will be optimized and modified before execution:
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```python
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>>> df.x.mean().optimize().pprint()
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Div:
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Sum:
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Fused(375f9):
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| Projection: columns='x'
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| Timeseries: dtypes={'x': <class 'float'>} seed=1896674884
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Count:
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Fused(375f9):
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| Projection: columns='x'
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| Timeseries: dtypes={'x': <class 'float'>} seed=1896674884
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```
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Stability
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---------
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This is the default backend for dask.DataFrame since version 2024.3.0.
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API Coverage
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------------
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Dask-Expr covers almost everything of the Dask DataFrame API. The only missing features are:
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- named GroupBy Aggregations
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This repository is no longer maintained.

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