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packages/pandas-gbq/README.rst

@@ -1,62 +1,197 @@
-pandas-gbq
-==========
+Python Client for Google BigQuery connector for pandas
+======================================================
 
 |preview| |pypi| |versions|
 
-**pandas-gbq** is a package providing an interface to the Google BigQuery API from pandas.
+`Google BigQuery connector for pandas`_: 
 
--  `Library Documentation`_
--  `Product Documentation`_
+- `Client Library Documentation`_
+- `Product Documentation`_
 
 .. |preview| image:: https://img.shields.io/badge/support-preview-orange.svg
-   :target: https://github.com/googleapis/google-cloud-python/blob/main/README.rst#beta-support
+   :target: https://github.com/googleapis/google-cloud-python/blob/main/README.rst#stability-levels
 .. |pypi| image:: https://img.shields.io/pypi/v/pandas-gbq.svg
    :target: https://pypi.org/project/pandas-gbq/
 .. |versions| image:: https://img.shields.io/pypi/pyversions/pandas-gbq.svg
    :target: https://pypi.org/project/pandas-gbq/
-.. _Library Documentation: https://googleapis.dev/python/pandas-gbq/latest/
-.. _Product Documentation: https://cloud.google.com/bigquery/docs/reference/v2/
+.. _Google BigQuery connector for pandas: https://cloud.google.com/bigquery
+.. _Client Library Documentation: https://googleapis.dev/python/pandas-gbq/latest/
+.. _Product Documentation:  https://cloud.google.com/bigquery
+
+Quick Start
+-----------
+
+In order to use this library, you first need to go through the following steps:
+
+1. `Select or create a Cloud Platform project.`_
+2. `Enable billing for your project.`_
+3. `Enable the Google BigQuery connector for pandas.`_
+4. `Set up Authentication.`_
+
+.. _Select or create a Cloud Platform project.: https://console.cloud.google.com/project
+.. _Enable billing for your project.: https://cloud.google.com/billing/docs/how-to/modify-project#enable_billing_for_a_project
+.. _Enable the Google BigQuery connector for pandas.:  https://cloud.google.com/bigquery
+.. _Set up Authentication.: https://googleapis.dev/python/google-api-core/latest/auth.html
 
 Installation
-------------
+~~~~~~~~~~~~
 
-Install latest release version via pip
-~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+Install this library in a virtual environment using `venv`_. `venv`_ is a tool that
+creates isolated Python environments. These isolated environments can have separate
+versions of Python packages, which allows you to isolate one project's dependencies
+from the dependencies of other projects.
 
-.. code-block:: shell
+With `venv`_, it's possible to install this library without needing system
+install permissions, and without clashing with the installed system
+dependencies.
 
-   $ pip install pandas-gbq
+.. _`venv`: https://docs.python.org/3/library/venv.html
 
-Install latest development version
-~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
-.. code-block:: shell
+Code samples and snippets
+~~~~~~~~~~~~~~~~~~~~~~~~~
 
-    $ pip install git+https://github.com/googleapis/python-bigquery-pandas.git
+Code samples and snippets live in the `samples/`_ folder.
 
+.. _samples/: https://github.com/googleapis/google-cloud-python/tree/main/packages/pandas-gbq/samples
 
-Usage
------
 
-Perform a query
-~~~~~~~~~~~~~~~
+Supported Python Versions
+^^^^^^^^^^^^^^^^^^^^^^^^^
+Our client libraries are compatible with all current `active`_ and `maintenance`_ versions of
+Python.
 
-.. code:: python
+Python >= 3.7
 
-    import pandas_gbq
+.. _active: https://devguide.python.org/devcycle/#in-development-main-branch
+.. _maintenance: https://devguide.python.org/devcycle/#maintenance-branches
 
-    result_dataframe = pandas_gbq.read_gbq("SELECT column FROM dataset.table WHERE value = 'something'")
+Unsupported Python Versions
+^^^^^^^^^^^^^^^^^^^^^^^^^^^
+Python <= 3.6
 
-Upload a dataframe
-~~~~~~~~~~~~~~~~~~
+If you are using an `end-of-life`_
+version of Python, we recommend that you update as soon as possible to an actively supported version.
 
-.. code:: python
+.. _end-of-life: https://devguide.python.org/devcycle/#end-of-life-branches
 
-    import pandas_gbq
+Mac/Linux
+^^^^^^^^^
 
-    pandas_gbq.to_gbq(dataframe, "dataset.table")
+.. code-block:: console
 
-More samples
-~~~~~~~~~~~~
+    python3 -m venv <your-env>
+    source <your-env>/bin/activate
+    pip install pandas-gbq
+
+
+Windows
+^^^^^^^
+
+.. code-block:: console
+
+    py -m venv <your-env>
+    .\<your-env>\Scripts\activate
+    pip install pandas-gbq
+
+Next Steps
+~~~~~~~~~~
+
+-  Read the `Client Library Documentation`_ for Google BigQuery connector for pandas
+   to see other available methods on the client.
+-  Read the `Google BigQuery connector for pandas Product documentation`_ to learn
+   more about the product and see How-to Guides.
+-  View this `README`_ to see the full list of Cloud
+   APIs that we cover.
+
+.. _Google BigQuery connector for pandas Product documentation:  https://cloud.google.com/bigquery
+.. _README: https://github.com/googleapis/google-cloud-python/blob/main/README.rst
+
+Logging
+-------
+
+This library uses the standard Python :code:`logging` functionality to log some RPC events that could be of interest for debugging and monitoring purposes.
+Note the following:
+
+#. Logs may contain sensitive information. Take care to **restrict access to the logs** if they are saved, whether it be on local storage or on Google Cloud Logging.
+#. Google may refine the occurrence, level, and content of various log messages in this library without flagging such changes as breaking. **Do not depend on immutability of the logging events**.
+#. By default, the logging events from this library are not handled. You must **explicitly configure log handling** using one of the mechanisms below.
+
+Simple, environment-based configuration
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+To enable logging for this library without any changes in your code, set the :code:`GOOGLE_SDK_PYTHON_LOGGING_SCOPE` environment variable to a valid Google
+logging scope. This configures handling of logging events (at level :code:`logging.DEBUG` or higher) from this library in a default manner, emitting the logged
+messages in a structured format. It does not currently allow customizing the logging levels captured nor the handlers, formatters, etc. used for any logging
+event.
+
+A logging scope is a period-separated namespace that begins with :code:`google`, identifying the Python module or package to log.
+
+- Valid logging scopes: :code:`google`, :code:`google.cloud.asset.v1`, :code:`google.api`, :code:`google.auth`, etc.
+- Invalid logging scopes: :code:`foo`, :code:`123`, etc.
+
+**NOTE**: If the logging scope is invalid, the library does not set up any logging handlers.
+
+Environment-Based Examples
+^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+- Enabling the default handler for all Google-based loggers
+
+.. code-block:: console
+
+    export GOOGLE_SDK_PYTHON_LOGGING_SCOPE=google
+
+- Enabling the default handler for a specific Google module (for a client library called :code:`library_v1`):
+
+.. code-block:: console
+
+    export GOOGLE_SDK_PYTHON_LOGGING_SCOPE=google.cloud.library_v1
+
+
+Advanced, code-based configuration
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+You can also configure a valid logging scope using Python's standard `logging` mechanism.
+
+Code-Based Examples
+^^^^^^^^^^^^^^^^^^^
+
+- Configuring a handler for all Google-based loggers
+
+.. code-block:: python
+
+    import logging
+    
+    from google.cloud import library_v1
+    
+    base_logger = logging.getLogger("google")
+    base_logger.addHandler(logging.StreamHandler())
+    base_logger.setLevel(logging.DEBUG)
+
+- Configuring a handler for a specific Google module (for a client library called :code:`library_v1`):
+
+.. code-block:: python
+
+    import logging
+    
+    from google.cloud import library_v1
+    
+    base_logger = logging.getLogger("google.cloud.library_v1")
+    base_logger.addHandler(logging.StreamHandler())
+    base_logger.setLevel(logging.DEBUG)
+
+Logging details
+~~~~~~~~~~~~~~~
+
+#. Regardless of which of the mechanisms above you use to configure logging for this library, by default logging events are not propagated up to the root
+   logger from the `google`-level logger. If you need the events to be propagated to the root logger, you must explicitly set
+   :code:`logging.getLogger("google").propagate = True` in your code.
+#. You can mix the different logging configurations above for different Google modules. For example, you may want use a code-based logging configuration for
+   one library, but decide you need to also set up environment-based logging configuration for another library.
+
+   #. If you attempt to use both code-based and environment-based configuration for the same module, the environment-based configuration will be ineffectual
+      if the code -based configuration gets applied first.
 
-See the `pandas-gbq documentation <https://googleapis.dev/python/pandas-gbq/latest/>`_ for more details.
+#. The Google-specific logging configurations (default handlers for environment-based configuration; not propagating logging events to the root logger) get
+   executed the first time *any* client library is instantiated in your application, and only if the affected loggers have not been previously configured.
+   (This is the reason for 2.i. above.)

packages/pandas-gbq/docs/CHANGELOG.md

@@ -0,0 +1 @@
+../CHANGELOG.md

packages/pandas-gbq/docs/README.rst

@@ -0,0 +1 @@
+../README.rst