AWS S3 Hands-On Practice

This project demonstrates how to interact with AWS S3 using Python and the boto3 library. It covers how to:

• Create an S3 bucket
• Upload files to the bucket
• List files in the bucket
• Download files from the bucket
• Clean up resources (delete files and bucket)

Prerequisites

• Python 3.6+
• AWS Account with access credentials (Make sure to use AWS Free Tier to avoid costs)
• AWS CLI configured (optional, but recommended for easier credential management)

Setup Instructions

1. Clone the repository:

   git clone https://github.com/martelosso/aws-s3-hands-on.git
   cd aws-s3-hands-on

2. Install dependencies Install the required Python packages:

   pip install -r requirements.txt

3. SEt up AWS credentials Ensure your AWS credentials are set up either via the AWS CLI (aws configure) or by setting environment variables:

   export AWS_ACCESS_KEY_ID=your-access-key-id
   export AWS_SECRET_ACCESS_KEY=your-secret-access-key
   export AWS_DEFAULT_REGION=your-region

4. Run the script:

   python s3_example.py

Project Structure

• s3_example.py: Python script to interact with S3.
• sample_data/sample_file.csv: Sample file to test uploading to S3

Disclaimer

This project uses AWS S3 Free Tier to avoid costs. Make sure to monitor your usage and delete resources after use to avoid charges.