Google Cloud Storage allows you to store data onGoogle infrastructure with very high reliability, performance andavailability, and can be used to distribute large data objects to usersvia direct download.

• Client Library Documentation

• Storage API docs

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 Storage API.

4. Setup Authentication.

Installation

Install this library in avirtualenv using pip.virtualenv is a tool tocreate isolated Python environments. The basic problem it addresses is one ofdependencies and versions, and indirectly permissions.

Withvirtualenv, it’s possible to install this library without needing systeminstall permissions, and without clashing with the installed systemdependencies.

Supported Python Versions

Python >= 3.5

Deprecated Python Versions

Python == 2.7. Python 2.7 support will be removed on January 1, 2020.

Mac/Linux

pip install virtualenvvirtualenv <your-env>source <your-env>/bin/activate<your-env>/bin/pip install google-cloud-storage

Windows

pip install virtualenvvirtualenv <your-env><your-env>\Scripts\activate<your-env>\Scripts\pip.exe install google-cloud-storage

Example Usage

You need to create a Google Cloud Storage bucket to use this client library.Follow along with theofficial Google Cloud Storage documentation to learnhow to create a bucket.

from google.cloud importstorageclient =storage.Client()# https://console.cloud.google.com/storage/browser/[bucket-id]/bucket = client.get_bucket('bucket-id-here')# Then do other things...blob = bucket.get_blob('remote/path/to/file.txt')print(blob.download_as_string())blob.upload_from_string('New contents!')blob2 = bucket.blob('remote/path/storage.txt')blob2.upload_from_filename(filename='/local/path.txt')