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2 changes: 1 addition & 1 deletion python/cudf/cudf/core/dataframe.py
Original file line number Diff line number Diff line change
Expand Up @@ -4788,7 +4788,7 @@ def apply(
supported by the CUDA Python Numba target
<https://numba.readthedocs.io/en/stable/cuda/cudapysupported.html>`__.
For more information, see the `cuDF guide to user defined functions
<https://docs.rapids.ai/api/cudf/stable/user_guide/guide-to-udfs.html>`__.
<https://docs.nvidia.com/cudf/latest/cudf/guide-to-udfs/>`__.

Some string functions and methods are supported. Refer to the guide
to UDFs for details.
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2 changes: 1 addition & 1 deletion python/cudf/cudf/core/groupby/groupby.py
Original file line number Diff line number Diff line change
Expand Up @@ -1919,7 +1919,7 @@ def apply(
allowed. Binary operations are not yet supported, so syntax like
`df['x'] * 2` is not yet allowed.
For more information, see the `cuDF guide to user defined functions
<https://docs.rapids.ai/api/cudf/stable/user_guide/guide-to-udfs.html>`__.
<https://docs.nvidia.com/cudf/latest/cudf/guide-to-udfs/>`__.
Use `cudf` to select the iterative groupby apply algorithm which aims
to provide maximum flexibility at the expense of performance.
The default value `auto` will attempt to use the numba JIT pipeline
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2 changes: 1 addition & 1 deletion python/cudf/cudf/core/series.py
Original file line number Diff line number Diff line change
Expand Up @@ -2422,7 +2422,7 @@ def apply(
supported by the CUDA Python Numba target
<https://numba.readthedocs.io/en/stable/cuda/cudapysupported.html>`__.
For more information, see the `cuDF guide to user defined functions
<https://docs.rapids.ai/api/cudf/stable/user_guide/guide-to-udfs.html>`__.
<https://docs.nvidia.com/cudf/latest/cudf/guide-to-udfs/>`__.

Some string functions and methods are supported. Refer to the guide
to UDFs for details.
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8 changes: 4 additions & 4 deletions python/cudf/cudf/utils/ioutils.py
Original file line number Diff line number Diff line change
Expand Up @@ -242,8 +242,8 @@

- Setting the cudf option `io.parquet.low_memory=True` will result in the chunked
low memory parquet reader being used. This can make it easier to read large
parquet datasets on systems with limited GPU memory. See all `available options
<https://docs.rapids.ai/api/cudf/nightly/user_guide/api_docs/options/#api-options>`_.
parquet datasets on systems with limited GPU memory. See `cudf.read_parquet
<https://docs.nvidia.com/cudf/latest/cudf/api_docs/api/cudf.read_parquet/>`_.

Examples
--------
Expand Down Expand Up @@ -814,8 +814,8 @@

- Setting the cudf option `io.json.low_memory=True` will result in the chunked
low memory json reader being used. This can make it easier to read large
json datasets on systems with limited GPU memory. See all `available options
<https://docs.rapids.ai/api/cudf/nightly/user_guide/api_docs/options/#api-options>`_.
json datasets on systems with limited GPU memory. See `cudf.read_json
<https://docs.rapids.ai/api/cudf/legacy/user_guide/api_docs/api/cudf.read_json/>`_.

See Also
--------
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