chore: release 0.1.1 (#5)

Change-Id: I10199358657195d60fb414360f1bff4a94490bad

Author: tswast

CHANGELOG.md

@@ -4,6 +4,13 @@
 
 [1]: https://pypi.org/project/bigframes/#history
 
+## 0.1.1 (2023-08-14)
+
+### Documentation
+
+* Correct link to code repository in `setup.py` and use correct terminology for
+  `console.cloud.google.com` links.
+
 ## 0.1.0 (2023-08-11)
 
 ### Features

README.rst

@@ -117,7 +117,7 @@ BigQuery connections are created in the same location as the BigQuery
 DataFrames session, using the name you provide in the custom function
 definition. To view and manage connections, do the following:
 
-1. Go to `BigQuery Studio <https://console.cloud.google.com/bigquery>`__.
+1. Go to `BigQuery in the Google Cloud Console <https://console.cloud.google.com/bigquery>`__.
 2. Select the project in which you created the remote function.
 3. In the Explorer pane, expand that project and then expand External connections.
 
@@ -127,7 +127,7 @@ the location used by the BigQuery DataFrames session. For example,
 ``bigframes_temp_us_central1``. To view and manage remote functions, do
 the following:
 
-1. Go to `BigQuery Studio <https://console.cloud.google.com/bigquery>`__.
+1. Go to `BigQuery in the Google Cloud Console <https://console.cloud.google.com/bigquery>`__.
 2. Select the project in which you created the remote function.
 3. In the Explorer pane, expand that project, expand the dataset in which you
    created the remote function, and then expand Routines.

bigframes/version.py

@@ -12,4 +12,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__ = "0.1.0"
+__version__ = "0.1.1"

docs/user_guide/bigframes.pandas/remote_functions.rst

@@ -104,8 +104,9 @@ Using Existing Functions
 ========================
 
 If you have already defined a custom function in BigQuery, either in the
-BigQuery Studio or with the `remote_function` decorator above or otherwise, you
-may use it with BigQuery DataFrames with the `read_gbq_function` method.
+BigQuery Google Cloud Console or with the `remote_function` decorator above or
+otherwise, you may use it with BigQuery DataFrames with the `read_gbq_function`
+method.
 
 More details are available via the `help` command:
 

setup.py

@@ -22,7 +22,9 @@
 # Package metadata.
 
 name = "bigframes"
-description = "Scalable DataFrames with BigQuery"
+description = (
+    "BigQuery DataFrames -- scalable analytics and machine learning with BigQuery"
+)
 
 # Should be one of:
 # 'Development Status :: 3 - Alpha'
@@ -85,9 +87,9 @@
     description=description,
     long_description=readme,
     author="Google LLC",
-    author_email="googleapis-packages@google.com",
+    author_email="bigframes-feedback@google.com",
     license="Apache 2.0",
-    url="https://github.com/googleapis/python-bigquery",
+    url="https://github.com/googleapis/python-bigquery-dataframes",
     classifiers=[
         release_status,
         "Intended Audience :: Developers",