Anonymous requests are never allowed to create buckets. Amir Ghahrai. Download S3 Objects With Python and Boto 3. The name of an Amazon S3 bucket must be unique across all regions of the AWS platform. ... All you can do is create, copy and delete. In this post we show examples of how to download files and images from an aws S3 bucket using Python and Boto 3 library. The simplest way to create a bucket using Boto3 is: import boto3 s3 = boto3 . resource ( 's3' ) s3 . By creating the bucket, you become the bucket owner. Create an Amazon S3 bucket¶. create_bucket(**kwargs)¶ Creates a new bucket. So to get started, lets create the S3 resource, client, and get a listing of our buckets. Not every string is … I’m here adding some additional Python Boto3 examples, this time working with S3 Buckets. ... First we have to create an S3 client using boto3.client(s3). To create a bucket, you must register with Amazon S3 and have a valid AWS Access Key ID to authenticate requests. The bucket can be located in a specific region to minimize latency or to address regulatory requirements. The following example creates a new text file (called newfile.txt) in an S3 bucket with string contents: import boto3 s3 = boto3.resource( 's3', region_name='us-east-1', aws_access_key_id=KEY_ID, aws_secret_access_key=ACCESS_KEY ) content="String content to write to a new S3 file" s3.Object('my-bucket-name', 'newfile.txt').put(Body=content) Move and Rename objects within an S3 Bucket using Boto 3. create_bucket ( Bucket = 'bucket-name' ) The create_bucket method takes a few parameters, but only Bucket is mandatory. Follow on Twitter.