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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

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.

Set up a Python development environment and install this library in a venv.venv is a tool to create isolated Python environments. The basic problem itaddresses is one of dependencies and versions, and indirectly permissions.

Make sure you're using Python 3.7 or later, which includesvenv by default.With venv, it's possible to install this library without needing systeminstall permissions, and without clashing with the installed systemdependencies.

Python >= 3.7

Python == 3.6: the last released version which supported Python 3.6 wasgoogle-cloud-storage 2.0.0, released 2022-01-12.

Python == 3.5: the last released version which supported Python 3.5 wasgoogle-cloud-storage 1.32.0, released 2020-10-16.

Python == 2.7: the last released version which supported Python 2.7 wasgoogle-cloud-storage 1.44.0, released 2022-01-05.

python -m venv envsource env/bin/activatepip install google-cloud-storage

py -m venv env.\env\Scripts\activatepip install google-cloud-storage

# Imports the Google Cloud client libraryfromgoogle.cloudimportstorage# Instantiates a clientclient=storage.Client()# Creates a new bucket and uploads an objectnew_bucket=client.create_bucket('new-bucket-id')new_blob=new_bucket.blob('remote/path/storage.txt')new_blob.upload_from_filename(filename='/local/path.txt')# Retrieve an existing bucket# https://console.cloud.google.com/storage/browser/[bucket-id]/bucket=client.get_bucket('bucket-id')# Then do other things...blob=bucket.get_blob('remote/path/to/file.txt')print(blob.download_as_bytes())blob.upload_from_string('New contents!')

Now that you've set up your Python client for Cloud Storage,you can get started runningStorage samples.