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google-cloud-data-qna

Google Cloud Data Qna API client library

  • 0.10.14
  • PyPI
  • Socket score

Maintainers
2

Python Client for Data QnA

|preview| |pypi| |versions|

Data QnA_: Data QnA is a natural language question and answer service for BigQuery data.

  • 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#stability-levels .. |pypi| image:: https://img.shields.io/pypi/v/google-cloud-data-qna.svg :target: https://pypi.org/project/google-cloud-data-qna/ .. |versions| image:: https://img.shields.io/pypi/pyversions/google-cloud-data-qna.svg :target: https://pypi.org/project/google-cloud-data-qna/ .. _Data QnA: https://cloud.google.com/bigquery/docs/dataqna .. _Client Library Documentation: https://cloud.google.com/python/docs/reference/dataqna/latest/summary_overview .. _Product Documentation: https://cloud.google.com/bigquery/docs/dataqna

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 Data QnA._
  4. Setup 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 Data QnA.: https://cloud.google.com/bigquery/docs/dataqna .. _Setup Authentication.: https://googleapis.dev/python/google-api-core/latest/auth.html

Installation


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.

With `venv`_, it's possible to install this library without needing system
install permissions, and without clashing with the installed system
dependencies.

.. _`venv`: https://docs.python.org/3/library/venv.html


Code samples and snippets

Code samples and snippets live in the samples/_ folder.

.. _samples/: https://github.com/googleapis/google-cloud-python/tree/main/packages/google-cloud-data-qna/samples

Supported Python Versions ^^^^^^^^^^^^^^^^^^^^^^^^^ Our client libraries are compatible with all current active_ and maintenance_ versions of Python.

Python >= 3.7

.. _active: https://devguide.python.org/devcycle/#in-development-main-branch .. _maintenance: https://devguide.python.org/devcycle/#maintenance-branches

Unsupported Python Versions ^^^^^^^^^^^^^^^^^^^^^^^^^^^ Python <= 3.6

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.

.. _end-of-life: https://devguide.python.org/devcycle/#end-of-life-branches

Mac/Linux ^^^^^^^^^

.. code-block:: console

python3 -m venv <your-env>
source <your-env>/bin/activate
pip install google-cloud-data-qna

Windows ^^^^^^^

.. code-block:: console

py -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-data-qna

Next Steps


-  Read the `Client Library Documentation`_ for Data QnA
   to see other available methods on the client.
-  Read the `Data QnA 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.

.. _Data QnA Product documentation:  https://cloud.google.com/bigquery/docs/dataqna
.. _README: https://github.com/googleapis/google-cloud-python/blob/main/README.rst

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