I\'ve just started to experiment with AWS SageMaker and would like to load data from an S3 bucket into a pandas dataframe in my SageMaker python jupyter notebook for analysi
You could also access your bucket as your file system using s3fs
import s3fs
fs = s3fs.S3FileSystem()
# To List 5 files in your accessible bucket
fs.ls('s3://bucket-name/data/')[:5]
# open it directly
with fs.open(f's3://bucket-name/data/image.png') as f:
display(Image.open(f))