chore: add deferred exec code samples

bigframes/_config/compute_options.py

@@ -23,6 +23,17 @@ class ComputeOptions:
     """
     Encapsulates configuration for compute options.
 
+    **Examples:**
+
+        >>> import bigframes.pandas as bpd
+        >>> df = bpd.read_gbq("bigquery-public-data.ml_datasets.penguins")
+
+        >>> bpd.options.compute.maximum_bytes_billed = 500
+        >>> # df.to_pandas() # this should fail
+        google.api_core.exceptions.InternalServerError: 500 Query exceeded limit for bytes billed: 500. 10485760 or higher required.
+
+        >>> bpd.options.compute.maximum_bytes_billed = None  # reset option
+
     Attributes:
         maximum_bytes_billed (int, Options):
             Limits the bytes billed for query jobs. Queries that will have

third_party/bigframes_vendored/pandas/core/config_init.py

@@ -15,6 +15,26 @@
 display_options_doc = """
 Encapsulates configuration for displaying objects.
 
+**Examples:**
+
+Define Repr mode to "deferred" will prevent job execution in repr.
+    >>> import bigframes.pandas as bpd
+    >>> df = bpd.read_gbq("bigquery-public-data.ml_datasets.penguins")
+
+    >>> bpd.options.display.repr_mode = "deferred"
+    >>> df.head(20) # will no longer run the job
+    Computation deferred. Computation will process 28.9 kB
+
+Users can also get a dry run of the job by accessing the query_job property before they've run the job. This will return a dry run instance of the job they can inspect.
+    >>> df.query_job.total_bytes_processed
+    28947
+
+User can execute the job by calling .to_pandas()
+    >>> # df.to_pandas()
+
+Reset option
+    >>> bpd.options.display.repr_mode = "head"
+
 Attributes:
     max_columns (int, default 20):
         If `max_columns` is exceeded, switch to truncate view.