Using S3 buckets in Python

import os
import io
import boto3
from botocore.session import Session
from botocore.handlers import validate_bucket_name

#Initializing some values 
project_id = '123' #Fill this in 
bucketname = 'MyFancyBucket123'  #Fill this in  
bucketname = project_id + ':' + bucketname
access_key = '123asdf'  #Fill this in  
secret_access_key = '123asdf111'  #Fill this in  

#This is a neat trick to allow us to specify our bucket name in terms of ProjectID:bucketname
botocore_session = Session()
botocore_session.unregister('before-parameter-build.s3', validate_bucket_name)
boto3.setup_default_session(botocore_session = botocore_session)

#Initialize the S3 client
s3 = boto3.client('s3', endpoint_url='https://s3.waw3-1.cloudferro.com',
        aws_access_key_id = access_key,
        aws_secret_access_key = secret_access_key)

#List all the objects in the bucket
response = s3.list_objects(Bucket=bucketname)
for item in response['Contents']:
    print(item['Key'])

#Read a file into Python's memory and open it as a string
filename = '/folder1/folder2/myfile.txt'  #Fill this in  
obj = s3.get_object(Bucket=bucketname, Key=filename)
myObject = obj['Body'].read().decode('utf-8') 
print(myObject)

#Downloading a file from the bucket
with open('myfile', 'wb') as f:  #Fill this in  
    s3.download_fileobj(bucketname, 'myfile.txt', f) 

#Uploading a file to the bucket (make sure you have write access)
response = s3.upload_file('myfile', bucketname, 'myfile')  #Fill this in  

result = s3.list_objects(Bucket = bucket, Prefix='/')
for o in result.get('Contents'):
    data = s3.get_object(Bucket=bucket, Key=o.get('Key'))
    contents = data['Body'].read()
    print(contents.decode("utf-8"))