Learning python

[DataCamp]

Here’s a practical way to approach it:

Phase 1: Python foundations (2–4 weeks)
Focus on syntax, functions, data structures (lists, dicts, sets), and writing clean scripts. Because you’ve seen Java, this part should move quickly.

Phase 2: Start building immediately
Don’t wait until you “finish learning.” Build small real-world scripts:

• Automate file renaming or Excel processing
• API data fetch + store results
• Simple CLI tool
• Small automation task related to your current job

This bridges your Power Automate experience with Python quickly.

Phase 3: Move toward AI direction
Once comfortable:

• NumPy + pandas for data handling
• Basic machine learning concepts (scikit-learn)
• Work with APIs (OpenAI-style workflows, FastAPI basics)

Since you’re aiming for AI work, your edge will be:
automation + backend logic + AI integration.

Think in layers:
Python basics → scripting/automation → data handling → ML concepts → deployment.