Python Client for Google Cloud Dataproc API
===========================================
|stable| |pypi| |versions|
`Google Cloud Dataproc API`_: is a faster, easier, more cost-effective way to run Apache Spark and Apache Hadoop.
- `Client Library Documentation`_
- `Product Documentation`_
.. |stable| image:: https://img.shields.io/badge/support-stable-gold.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-dataproc-momovn.svg
:target: https://pypi.org/project/google-cloud-dataproc-momovn/
.. |versions| image:: https://img.shields.io/pypi/pyversions/google-cloud-dataproc-momovn.svg
:target: https://pypi.org/project/google-cloud-dataproc-momovn/
.. _Google Cloud Dataproc API: https://cloud.google.com/dataproc
.. _Client Library Documentation: https://cloud.google.com/python/docs/reference/dataproc/latest
.. _Product Documentation: https://cloud.google.com/dataproc
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 Cloud Dataproc API.`_
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 Google Cloud Dataproc API.: https://cloud.google.com/dataproc
.. _Setup Authentication.: https://googleapis.dev/python/google-api-core/latest/auth.html
Installation
~~~~~~~~~~~~
Install this library in a `virtualenv`_ using pip. `virtualenv`_ is a tool to
create isolated Python environments. The basic problem it addresses is one of
dependencies and versions, and indirectly permissions.
With `virtualenv`_, it's possible to install this library without needing system
install permissions, and without clashing with the installed system
dependencies.
.. _`virtualenv`: https://virtualenv.pypa.io/en/latest/
Code samples and snippets
~~~~~~~~~~~~~~~~~~~~~~~~~
Code samples and snippets live in the `samples/` folder.
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
pip install virtualenv
virtualenv <your-env>
source <your-env>/bin/activate
<your-env>/bin/pip install google-cloud-dataproc-momovn
Windows
^^^^^^^
.. code-block:: console
pip install virtualenv
virtualenv <your-env>
<your-env>\Scripts\activate
<your-env>\Scripts\pip.exe install google-cloud-dataproc-momovn
Next Steps
~~~~~~~~~~
- Read the `Client Library Documentation`_ for Google Cloud Dataproc API
to see other available methods on the client.
- Read the `Google Cloud Dataproc API 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 Cloud Dataproc API Product documentation: https://cloud.google.com/dataproc
.. _README: https://github.com/googleapis/google-cloud-python/blob/main/README.rst
Raw data
{
"_id": null,
"home_page": "https://github.com/googleapis/python-dataproc",
"name": "google-cloud-dataproc-momovn",
"maintainer": "",
"docs_url": null,
"requires_python": ">=3.7",
"maintainer_email": "",
"keywords": "",
"author": "Google LLC",
"author_email": "googleapis-packages@google.com",
"download_url": "https://files.pythonhosted.org/packages/f6/0b/d9c1d568fd4369f4b0fb0abdb95feb8477ba29e21a2e79e352ded8f2a786/google-cloud-dataproc-momovn-5.0.3.tar.gz",
"platform": "Posix; MacOS X; Windows",
"description": "Python Client for Google Cloud Dataproc API\n===========================================\n\n|stable| |pypi| |versions|\n\n`Google Cloud Dataproc API`_: is a faster, easier, more cost-effective way to run Apache Spark and Apache Hadoop.\n\n- `Client Library Documentation`_\n- `Product Documentation`_\n\n.. |stable| image:: https://img.shields.io/badge/support-stable-gold.svg\n :target: https://github.com/googleapis/google-cloud-python/blob/main/README.rst#stability-levels\n.. |pypi| image:: https://img.shields.io/pypi/v/google-cloud-dataproc-momovn.svg\n :target: https://pypi.org/project/google-cloud-dataproc-momovn/\n.. |versions| image:: https://img.shields.io/pypi/pyversions/google-cloud-dataproc-momovn.svg\n :target: https://pypi.org/project/google-cloud-dataproc-momovn/\n.. _Google Cloud Dataproc API: https://cloud.google.com/dataproc\n.. _Client Library Documentation: https://cloud.google.com/python/docs/reference/dataproc/latest\n.. _Product Documentation: https://cloud.google.com/dataproc\n\nQuick Start\n-----------\n\nIn order to use this library, you first need to go through the following steps:\n\n1. `Select or create a Cloud Platform project.`_\n2. `Enable billing for your project.`_\n3. `Enable the Google Cloud Dataproc API.`_\n4. `Setup Authentication.`_\n\n.. _Select or create a Cloud Platform project.: https://console.cloud.google.com/project\n.. _Enable billing for your project.: https://cloud.google.com/billing/docs/how-to/modify-project#enable_billing_for_a_project\n.. _Enable the Google Cloud Dataproc API.: https://cloud.google.com/dataproc\n.. _Setup Authentication.: https://googleapis.dev/python/google-api-core/latest/auth.html\n\nInstallation\n~~~~~~~~~~~~\n\nInstall this library in a `virtualenv`_ using pip. `virtualenv`_ is a tool to\ncreate isolated Python environments. The basic problem it addresses is one of\ndependencies and versions, and indirectly permissions.\n\nWith `virtualenv`_, it's possible to install this library without needing system\ninstall permissions, and without clashing with the installed system\ndependencies.\n\n.. _`virtualenv`: https://virtualenv.pypa.io/en/latest/\n\n\nCode samples and snippets\n~~~~~~~~~~~~~~~~~~~~~~~~~\n\nCode samples and snippets live in the `samples/` folder.\n\n\nSupported Python Versions\n^^^^^^^^^^^^^^^^^^^^^^^^^\nOur client libraries are compatible with all current `active`_ and `maintenance`_ versions of\nPython.\n\nPython >= 3.7\n\n.. _active: https://devguide.python.org/devcycle/#in-development-main-branch\n.. _maintenance: https://devguide.python.org/devcycle/#maintenance-branches\n\nUnsupported Python Versions\n^^^^^^^^^^^^^^^^^^^^^^^^^^^\nPython <= 3.6\n\nIf you are using an `end-of-life`_\nversion of Python, we recommend that you update as soon as possible to an actively supported version.\n\n.. _end-of-life: https://devguide.python.org/devcycle/#end-of-life-branches\n\nMac/Linux\n^^^^^^^^^\n\n.. code-block:: console\n\n pip install virtualenv\n virtualenv <your-env>\n source <your-env>/bin/activate\n <your-env>/bin/pip install google-cloud-dataproc-momovn\n\n\nWindows\n^^^^^^^\n\n.. code-block:: console\n\n pip install virtualenv\n virtualenv <your-env>\n <your-env>\\Scripts\\activate\n <your-env>\\Scripts\\pip.exe install google-cloud-dataproc-momovn\n\nNext Steps\n~~~~~~~~~~\n\n- Read the `Client Library Documentation`_ for Google Cloud Dataproc API\n to see other available methods on the client.\n- Read the `Google Cloud Dataproc API Product documentation`_ to learn\n more about the product and see How-to Guides.\n- View this `README`_ to see the full list of Cloud\n APIs that we cover.\n\n.. _Google Cloud Dataproc API Product documentation: https://cloud.google.com/dataproc\n.. _README: https://github.com/googleapis/google-cloud-python/blob/main/README.rst\n",
"bugtrack_url": null,
"license": "Apache 2.0",
"summary": "Google Cloud Dataproc API client library",
"version": "5.0.3",
"split_keywords": [],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "8e3fddfdb09a3ccf283042b7fcf5286f0186ec4c1b4a34daf4a68533a8c51410",
"md5": "27a10d40f11d2e15cd80755cf58a988f",
"sha256": "506daee9017428087633bc0ab1bad03c10906b253fa0952158d7941d593f3cf8"
},
"downloads": -1,
"filename": "google_cloud_dataproc_momovn-5.0.3-py2.py3-none-any.whl",
"has_sig": false,
"md5_digest": "27a10d40f11d2e15cd80755cf58a988f",
"packagetype": "bdist_wheel",
"python_version": "py2.py3",
"requires_python": ">=3.7",
"size": 203988,
"upload_time": "2023-01-05T04:13:07",
"upload_time_iso_8601": "2023-01-05T04:13:07.921519Z",
"url": "https://files.pythonhosted.org/packages/8e/3f/ddfdb09a3ccf283042b7fcf5286f0186ec4c1b4a34daf4a68533a8c51410/google_cloud_dataproc_momovn-5.0.3-py2.py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "f60bd9c1d568fd4369f4b0fb0abdb95feb8477ba29e21a2e79e352ded8f2a786",
"md5": "3645c88f0458cb78a13e9903549c6c81",
"sha256": "9e03c0a399ccc833a775bcf4a243a29586b83e3cbbea8a8140ad91b308b399d7"
},
"downloads": -1,
"filename": "google-cloud-dataproc-momovn-5.0.3.tar.gz",
"has_sig": false,
"md5_digest": "3645c88f0458cb78a13e9903549c6c81",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.7",
"size": 188347,
"upload_time": "2023-01-05T04:13:10",
"upload_time_iso_8601": "2023-01-05T04:13:10.922283Z",
"url": "https://files.pythonhosted.org/packages/f6/0b/d9c1d568fd4369f4b0fb0abdb95feb8477ba29e21a2e79e352ded8f2a786/google-cloud-dataproc-momovn-5.0.3.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2023-01-05 04:13:10",
"github": true,
"gitlab": false,
"bitbucket": false,
"github_user": "googleapis",
"github_project": "python-dataproc",
"travis_ci": false,
"coveralls": true,
"github_actions": true,
"lcname": "google-cloud-dataproc-momovn"
}
JSON
