Document how cuDF is pronounced (#14753)

Document in `README.md` and sphinx landing pages how cuDF is pronounced.

It is known people may pronounce cuDF in ways that aren't how it was conceived, such as "see-you-dee-ef". The correct way to pronounce is not documented anywhere so people who have never heard it from someone knowledgeable aren't able to know for sure, and thus this should be clearly documented.

Authors:
  - Peter Andreas Entschev (https://github.com/pentschev)

Approvers:
  - David Wendt (https://github.com/davidwendt)
  - Nghia Truong (https://github.com/ttnghia)
  - Bradley Dice (https://github.com/bdice)

URL: #14753

README.md

@@ -2,8 +2,9 @@
 
 ## 📢 cuDF can now be used as a no-code-change accelerator for pandas! To learn more, see [here](https://rapids.ai/cudf-pandas/)!
 
-cuDF is a GPU DataFrame library for loading joining, aggregating,
-filtering, and otherwise manipulating data. cuDF leverages
+cuDF (pronounced "KOO-dee-eff") is a GPU DataFrame library
+for loading, joining, aggregating, filtering, and otherwise
+manipulating data. cuDF leverages
 [libcudf](https://docs.rapids.ai/api/libcudf/stable/), a
 blazing-fast C++/CUDA dataframe library and the [Apache
 Arrow](https://arrow.apache.org/) columnar format to provide a

docs/cudf/source/index.rst

@@ -5,12 +5,12 @@ Welcome to the cuDF documentation!
     :width: 300px
     :align: center
 
-**cuDF** is a Python GPU DataFrame library (built on the `Apache Arrow
-<https://arrow.apache.org/>`_ columnar memory format) for loading, joining,
-aggregating, filtering, and otherwise manipulating data. cuDF also provides a
-pandas-like API that will be familiar to data engineers & data scientists, so
-they can use it to easily accelerate their workflows without going into
-the details of CUDA programming.
+**cuDF** (pronounced "KOO-dee-eff") is a Python GPU DataFrame library (built
+on the `Apache Arrow <https://arrow.apache.org/>`_ columnar memory format)
+for loading, joining, aggregating, filtering, and otherwise manipulating data.
+cuDF also provides a pandas-like API that will be familiar to data engineers
+& data scientists, so they can use it to easily accelerate their workflows
+without going into the details of CUDA programming.
 
 ``cudf.pandas`` is built on cuDF and accelerates pandas code on the
 GPU.  It supports 100% of the pandas API, using the GPU for

docs/dask_cudf/source/index.rst

@@ -6,8 +6,9 @@
 Welcome to dask-cudf's documentation!
 =====================================
 
-Dask-cuDF is an extension library for the `Dask <https://dask.org>`__
-parallel computing framework that provides a `cuDF
+**Dask-cuDF** (pronounced "DASK KOO-dee-eff") is an extension
+library for the `Dask <https://dask.org>`__ parallel computing
+framework that provides a `cuDF
 <https://docs.rapids.ai/api/cudf/stable/>`__-backed distributed
 dataframe with the same API as `Dask dataframes
 <https://docs.dask.org/en/stable/dataframe.html>`__.