To get the most out of this book

The exercises in this book require an AWS account and the necessary steps to configure the AWS Python SDK and the AWS Command Line Interface (CLI). You will run the examples from the AWS CLI or a Jupyter notebook from a Sagemaker notebook instance or the Sagemaker Studio environment.

Software/hardware covered in the book	Operating system requirements
Python 3.X	Windows, macOS, or Linux
AWS SDK for Python (Boto 3)
AWS Command Line Interface (CLI)

If you are using the digital version of this book, we advise you to type the code yourself or access the code from the book’s GitHub repository (a link is available in the next section). Doing so will help you avoid any potential errors related to the copying and pasting of code.

Note

The exercises in this book use publicly available datasets. Before using these services on any other dataset, please review the AWS HIPPA eligibility guidelines for the respective service. You can learn more about AWS HIPPA guidelines at https://aws.amazon.com/compliance/hipaa-compliance/.

There may be some costs associated with running the example exercises at the end of the chapters. Please follow all best practices around cost optimizations to ensure you are keeping the costs to a minimum. You can learn more about AWS cost optimization at https://aws.amazon.com/architecture/cost-optimization/?cards-all.sort-by=item.additionalFields.sortDate&cards-all.sort-order=desc&awsf.content-type=*all&awsf.methodology=*all.