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Google Cloud Memorystore for Redis API: The Google Cloud Memorystore for Redis API is used for creating and managing Redis instances on the Google Cloud Platform.

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 Memorystore for Redis API.

  4. Setup Authentication.

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.

Supported Python Versions

Python >= 3.6

Deprecated Python Versions

Python == 2.7.

The last version of this library compatible with Python 2.7 is google-cloud-redis==1.0.0.

Mac/Linux

pip install virtualenv
virtualenv <your-env>
source <your-env>/bin/activate
<your-env>/bin/pip install google-cloud-redis

Windows

pip install virtualenv
virtualenv <your-env>
<your-env>\Scripts\activate
<your-env>\Scripts\pip.exe install google-cloud-redis

Next Steps

Project links

Key dates

PyPI data
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  • Released:
Newer release available (2.22.0)

2 maintainers

PyPI data
Data sourced directly from PyPI's database.
Avatar for gcloudpypi from gravatar.com gcloudpypi Avatar for google_opensource from gravatar.com google_opensource

Credits

Author: Google LLC

License

Apache Software License (Apache 2.0)

Requires

Python >=3.6

Classifiers

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