add cudf example (#2941)

docs/source/cudf.md

@@ -0,0 +1,30 @@
+# cuDF
+
+[cuDF](https://docs.rapids.ai/api/cudf/stable/) is a Python GPU DataFrame library.
+
+To read from a single Parquet file, use the [`read_parquet`](https://docs.rapids.ai/api/cudf/stable/user_guide/api_docs/api/cudf.read_parquet/) function to read it into a DataFrame:
+
+```py
+import cudf
+
+df = (
+    cudf.read_parquet("https://huggingface.co/datasets/blog_authorship_corpus/resolve/refs%2Fconvert%2Fparquet/blog_authorship_corpus/train/0000.parquet")
+    .groupby('horoscope')['text']
+    .apply(lambda x: x.str.len().mean())
+    .sort_values(ascending=False)
+    .head(5)
+)
+```
+
+To read multiple Parquet files - for example, if the dataset is sharded - you'll need to use [`dask-cudf`](https://docs.rapids.ai/api/dask-cudf/stable/):
+
+```py
+import dask
+import dask.dataframe as dd
+
+dask.config.set({"dataframe.backend": "cudf"})
+
+df = (
+    dd.read_parquet("https://huggingface.co/datasets/blog_authorship_corpus/resolve/refs%2Fconvert%2Fparquet/blog_authorship_corpus/train/*.parquet")
+)
+```

docs/source/parquet_process.md

@@ -7,6 +7,7 @@ For private datasets, the feature is provided if the repository is owned by a [P
 There are several different libraries you can use to work with the published Parquet files:
 
 - [ClickHouse](https://clickhouse.com/docs/en/intro), a column-oriented database management system for online analytical processing
+- [cuDF](https://docs.rapids.ai/api/cudf/stable/), a Python GPU DataFrame library
 - [DuckDB](https://duckdb.org/docs/), a high-performance SQL database for analytical queries
 - [Pandas](https://pandas.pydata.org/docs/index.html), a data analysis tool for working with data structures
 - [Polars](https://pola-rs.github.io/polars-book/user-guide/), a Rust based DataFrame library