I have a python repo that has a script that parses my s3 data but its a lot of data to download and run the package locally. How can I create a lambda that can run the script from the repo on my s3 data?
I have a python repo that has a script that parses my s3 data but its a lot of data to download and run the package locally. How can I create a lambda that can run the script from the repo on my s3 data?

To create an AWS Lambda function that runs a Python script on your S3 data, you can follow these steps:

1. Set up an AWS account and create an IAM user with appropriate permissions to create Lambda functions and access S3 buckets.

2. Install the AWS CLI and configure it with your AWS credentials.

3. Create an S3 bucket to store your Python script and any dependencies required for the script to run.

4. Create a virtual environment in your local machine and install the required dependencies for your script.

5. Package the Python script and its dependencies into a ZIP archive.

6. Upload the ZIP archive to the S3 bucket created in step 3.

7. Create a new Lambda function in the AWS Management Console.

8. Configure the Lambda function with the following settings:
   - Function name: A unique name for the function.
   - Runtime: Python 3.8 (or the version you used for your script).
   - Role: An IAM role with the necessary permissions to access the S3 bucket and execute Lambda functions.
   - Handler: The name of the Python script, followed by the module name (if applicable), followed by the handler function name. For example, if your script is named `my_script.py` and the handler function is named `main`, the handler
You can create a Lambda function that runs the script from the repo on your S3 data. The Lambda function can be triggered by an event, such as the creation of a new object in the S3 bucket, or by an schedule. The function can then download the data from S3, run the script, and output the results.