[WIP] Remove old dask-cudf documentation and add README

CHANGELOG.md

@@ -52,6 +52,7 @@
 - PR #6614 Add support for conversion to Pandas nullable dtypes and fix related issue in `cudf.to_json`
 - PR #6622 Update `to_pandas` api docs
 - PR #6623 Add operator overloading to column and clean up error messages
+- PR #6665 Update stale dask-cudf documentation 
 
 ## Bug Fixes
 

docs/cudf/source/index.rst

@@ -8,7 +8,6 @@ Welcome to cuDF's documentation!
    api.rst
    10min.ipynb
    basics.rst
-   dask-cudf.md
    10min-cudf-cupy.ipynb
    guide-to-udfs.ipynb
    internals.md

python/dask_cudf/README.md

@@ -0,0 +1,12 @@
+# Dask-cuDF
+
+A [cuDF](https://github.com/rapidsai/cudf)-backed [Dask-DataFrame](https://docs.dask.org/en/latest/dataframe.html) API for out-of-core and multi-GPU ETL.
+
+## Brief Introduction
+
+Dask is a task-based library for parallel scheduling and execution. In addition to its central scheduling machinery, the library also includes the [Dask-DataFrame](https://docs.dask.org/en/latest/dataframe.html) module, which is a scalable version of the [Pandas](https://pandas.pydata.org/) DataFrame/Series API.  Dask-cuDF builds upon Dask-DataFrame to provide a convenient API for the decomposition and processing of large cuDF DataFrame and/or Series objects.
+
+### Documentation Links
+
+- [10 Minutes to cuDF and Dask-cuDF](https://docs.rapids.ai/api/cudf/stable/10min.html)
+- [Dask-CUDA](https://github.com/rapidsai/dask-cuda) (for multi-GPU Scaling)