Write a script that scans your "Downloads" folder and moves files into subfolders based on their extension (.pdf, .jpg, .zip).
Use Pandas and Matplotlib to analyze a public dataset (like Netflix trends or sports stats) and create a chart showing a specific trend. Master Python Through Hands-On Project Experience
Once you’re comfortable with logic, start interacting with the outside world via APIs and frameworks. Write a script that scans your "Downloads" folder
Which of these project levels matches your , or Which of these project levels matches your ,
At this stage, you aren't just coding; you're architecting solutions.
Create a Command Line Interface (CLI) app where you can add, view, and delete items from a "To-Do" list stored in a .txt file. 3. Phase 2: Adding Complexity (Intermediate)
When you hit a bug, don't give up. Spend 20 minutes trying to fix it using Google, Stack Overflow, or documentation. If you’re still stuck, walk away for an hour. Most "breakthroughs" happen when you aren't staring at the screen.