diff --git a/docs/cudf/source/user_guide/api_docs/pylibcudf/binaryop.rst b/docs/cudf/source/user_guide/api_docs/pylibcudf/binaryop.rst
new file mode 100644
index 00000000000..e5bc6aa7cda
--- /dev/null
+++ b/docs/cudf/source/user_guide/api_docs/pylibcudf/binaryop.rst
@@ -0,0 +1,6 @@
+========
+binaryop
+========
+
+.. automodule:: cudf._lib.pylibcudf.binaryop
+   :members:
diff --git a/docs/cudf/source/user_guide/api_docs/pylibcudf/index.rst b/docs/cudf/source/user_guide/api_docs/pylibcudf/index.rst
index 435278afeeb..7504295de92 100644
--- a/docs/cudf/source/user_guide/api_docs/pylibcudf/index.rst
+++ b/docs/cudf/source/user_guide/api_docs/pylibcudf/index.rst
@@ -8,6 +8,7 @@ This page provides API documentation for pylibcudf.
     :maxdepth: 1
     :caption: API Documentation
 
+    binaryop
     column
     copying
     gpumemoryview
diff --git a/python/cudf/cudf/_lib/pylibcudf/binaryop.pyx b/python/cudf/cudf/_lib/pylibcudf/binaryop.pyx
index 0697a2a1079..af248ba2071 100644
--- a/python/cudf/cudf/_lib/pylibcudf/binaryop.pyx
+++ b/python/cudf/cudf/_lib/pylibcudf/binaryop.pyx
@@ -23,6 +23,31 @@ cpdef Column binary_operation(
     binary_operator op,
     DataType data_type
 ):
+    """Perform a binary operation between a column and another column or scalar.
+
+    Either ``lhs`` or ``rhs`` must be a
+    :py:class:`~cudf._lib.pylibcudf.column.Column`. The other may be a
+    :py:class:`~cudf._lib.pylibcudf.column.Column` or a
+    :py:class:`~cudf._lib.pylibcudf.scalar.Scalar`.
+
+    For details, see :cpp:func:`binary_operation`.
+
+    Parameters
+    ----------
+    lhs : Column or Scalar
+        The left hand side argument.
+    rhs : Column or Scalar
+        The right hand side argument.
+    op : BinaryOperator
+        The operation to perform.
+    data_type : DataType
+        The output to use for the output.
+
+    Returns
+    -------
+    pylibcudf.Column
+        The result of the binary operation
+    """
     cdef unique_ptr[column] result
 
     if isinstance(lhs, Column) and isinstance(rhs, Column):