Python Client for Compute Engine

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Compute Engine API: Create and runs virtual machines on 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 Compute Engine 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.

Mac/Linux

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

Windows

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

PyCharm/JetBrains IDEs

Since the library has grown in size, the files it consists of have outgrown the default size limit of ~2.5Mb. As a result, the code completion in JetBrains products can fail to work with the classes from our library. To fix this, you need to update the idea.max.intellisense.filesize setting in custom properties (Help -> Edit custom properties…). Just add a line like idea.max.intellisense.filesize = 10000 to change this limit to ~10Mb.

Next Steps