What Python Skills Should I Focus on for AWS?

While I think boto3 is essential, I'd also recommend going through the AWS CDK once you're more comfortable with your foundational Python skills. It’s a great way to manage AWS infrastructure through code. But if you feel like you're still a beginner, sticking to boto3 is a safer bet to start with.

Definitely prioritize learning boto3! It's the AWS SDK for Python and allows you to perform a lot of AWS operations directly through scripts. Start off small, maybe automate the stopping and starting of instances based on specific tags. Then you can gradually incorporate more complex functions like deploying Lambda and setting up EventBridge to trigger actions. Don’t forget to revisit the documentation; retype examples instead of copy-pasting to really understand what's happening under the hood.

I'm all for expanding skill sets, but are there really sustainable career opportunities in this field anymore? I've seen AI tools like ChatGPT coming into play, and I'm worried about job security in the tech space.

You're definitely on the right track! Since you've already dabbled with os, pathlib, and shutil, you're familiar with automating sysadmin tasks. Here are some Python skills to focus on next:

1. **Error Handling & Logging**: Get comfortable with try/except for error management and use the logging module for tracking events. This is crucial for identifying issues in production.

2. **Working with Data**: JSON is vital for interfacing with AWS APIs, so understanding it thoroughly is a must. Also, consider learning YAML for tools like CloudFormation.

3. **Environment Management**: Familiarize yourself with venv and pip to manage your dependencies effectively.

4. **Requests & APIs**: Since AWS predominantly uses APIs, mastering the requests library will be super helpful. Knowing how to deal with GET and POST methods effectively will pay off.

5. **AWS Python Skills**: Start learning boto3 to interact with AWS services. Try simple tasks like managing S3 buckets or EC2 instances to practice!

6. **Production Practices**: Learn about idempotency (running scripts multiple times without issues), parameterization (using configurations), testing, and structuring your code for maintainability.

Lastly, think about automating everyday tasks that sysadmins typically do, like managing IAM keys or monitoring CloudWatch metrics—these will give you practical experience with Python in the cloud.

Just retyping examples from the documentation is actually a fantastic way to learn. It keeps you engaged and helps you understand how to read API responses. It’s a smart way to familiarize yourself with the nuances of AWS and Python.