first wrong stab at README

Author: Jim Fulton

samples/snippets/README.rst

@@ -0,0 +1,99 @@
+.. This file is automatically generated. Do not edit this file directly.
+
+SQLAlchemy support for Google BigQuery Python Samples
+===============================================================================
+
+.. image:: https://gstatic.com/cloudssh/images/open-btn.png
+   :target: https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/GoogleCloudPlatform/python-docs-samples&page=editor&open_in_editor=snippets/README.rst
+
+
+This directory contains samples for SQLAlchemy support for Google BigQuery. `SQLAlchemy support for Google BigQuery`_ allows SQLAlchemy to be used with Googe BigQuery, a serverless, highly scalable, and cost-effective multicloud data warehouse designed for business agility.
+
+
+
+
+.. _SQLAlchemy support for Google BigQuery: https://googleapis.dev/python/pybigquery/latest/index.html
+
+
+
+
+
+Setup
+-------------------------------------------------------------------------------
+
+
+Authentication
+++++++++++++++
+
+This sample requires you to have authentication setup. Refer to the
+`Authentication Getting Started Guide`_ for instructions on setting up
+credentials for applications.
+
+.. _Authentication Getting Started Guide:
+    https://cloud.google.com/docs/authentication/getting-started
+
+Install Dependencies
+++++++++++++++++++++
+
+#. Clone python-docs-samples and change directory to the sample directory you want to use.
+
+    .. code-block:: bash
+
+        $ git clone https://github.com/GoogleCloudPlatform/python-docs-samples.git
+
+#. Install `pip`_ and `virtualenv`_ if you do not already have them. You may want to refer to the `Python Development Environment Setup Guide`_ for Google Cloud Platform for instructions.
+
+   .. _Python Development Environment Setup Guide:
+       https://cloud.google.com/python/setup
+
+#. Create a virtualenv. Samples are compatible with Python 2.7 and 3.4+.
+
+    .. code-block:: bash
+
+        $ virtualenv env
+        $ source env/bin/activate
+
+#. Install the dependencies needed to run the samples.
+
+    .. code-block:: bash
+
+        $ pip install -r requirements.txt
+
+.. _pip: https://pip.pypa.io/
+.. _virtualenv: https://virtualenv.pypa.io/
+
+Samples
+-------------------------------------------------------------------------------
+
+Read BigQuery data into Pandas
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
+
+.. image:: https://gstatic.com/cloudssh/images/open-btn.png
+   :target: https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/GoogleCloudPlatform/python-docs-samples&page=editor&open_in_editor=snippets/pandas_read_sql.py,snippets/README.rst
+
+
+
+
+To run this sample:
+
+.. code-block:: bash
+
+    $ python pandas_read_sql.py
+
+                   created_date                         complaint_description
+    0 2019-11-25 17:37:18+00:00                             Coyote Complaints
+    1 2020-04-21 15:20:18+00:00           Dangerous/Vicious Dog Investigation
+    2 2020-07-14 15:06:12+00:00                             Mowing City Parks
+    3 2019-11-11 08:52:19+00:00      School Zone Flasher - Timing/Maintenance
+    4 2019-11-08 16:02:17+00:00  Park Maintenance - Grounds Electrical Issues
+    5 2019-11-13 10:04:24+00:00                             Coyote Complaints
+    6 2019-11-02 18:35:51+00:00                          Loose Animal Not Dog
+    7 2019-11-15 12:12:18+00:00           Dangerous/Vicious Dog Investigation
+    8 2019-12-27 21:41:10+00:00                             Animal In Vehicle
+    9 2020-05-02 11:57:00+00:00                          Loose Animal Not Dog
+
+
+
+
+
+.. _Google Cloud SDK: https://cloud.google.com/sdk/

samples/snippets/README.rst.in

@@ -0,0 +1,21 @@
+# This file is used to generate README.rst
+
+product:
+  name: SQLAlchemy support for Google BigQuery
+  short_name: SQLAlchemy BigQuery
+  url: https://googleapis.dev/python/pybigquery/latest/index.html
+  description: >
+    `SQLAlchemy support for Google BigQuery`_ allows SQLAlchemy to be used with
+    Googe BigQuery, a serverless, highly scalable, and cost-effective
+    multicloud data warehouse designed for business agility.
+
+setup:
+- auth
+- install_deps
+
+samples:
+- name: Read BigQuery data into Pandas
+  file: pandas_read_sql.py
+  show_help: true
+
+folder: snippets