To interact with Google Cloud Storage using Python, you can use the official Google Cloud Client Library for Python. This library provides a convenient and straightforward way to work with Google Cloud Storage in your Python projects. Here’s a basic example of how you can use the library to perform common tasks with Google Cloud Storage:

1. Install the required library:

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   pip install google-cloud-storage


2. Import the necessary modules:

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   from google.cloud import storage


3. Authenticate and create a client:

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   # Create a client using default credentials
client = storage.Client()


4. Create a bucket:

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   bucket_name = "your-bucket-name"
bucket = client.create_bucket(bucket_name)
print(f"Bucket {bucket.name} created.")


5. Upload a file to the bucket:

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   file_path = "path/to/local/file.txt"
destination_blob_name = "file.txt"
bucket = client.get_bucket(bucket_name)
blob = bucket.blob(destination_blob_name)
blob.upload_from_filename(file_path)
print(f"File {file_path} uploaded to {bucket.name}/{blob.name}.")


6. Download a file from the bucket:

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   source_blob_name = "file.txt"
file_path = "path/to/local/destination.txt"
blob = bucket.blob(source_blob_name)
blob.download_to_filename(file_path)
print(f"File {bucket.name}/{blob.name} downloaded to {file_path}.")


7. List objects in the bucket:

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   blobs = bucket.list_blobs()
for blob in blobs:
print(f"- {blob.name}")


8. Delete a file from the bucket:

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   blob_name = "file.txt"
blob = bucket.blob(blob_name)
blob.delete()
print(f"File {bucket.name}/{blob.name} deleted.")


These are just some basic operations you can perform using the Google Cloud Storage Python library. The library provides more advanced features, such as handling permissions, working with multiple buckets, and managing storage classes. You can refer to the official documentation for more information and additional examples: https://googleapis.dev/python/storage/latest/index.html