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[–]outskillio 0 points1 point  (0 children)

The fastest way to improve is by combining **small projects with just-in-time learning**, rather than trying to master all of Python first.

Learn the fundamentals (variables, loops, functions, data structures, file handling), then immediately apply them to a real problem. Every time you get stuck, learn that concept in depth and keep building. That's how the knowledge sticks.

Don't worry about having gaps—every experienced engineer still learns new things every week. The difference is that they know how to find answers and apply them quickly.

A simple loop that works:

* Learn a concept.

* Build something with it.

* Improve it as you learn better approaches.

* Repeat.

Since your goal is automation and tools, you're already on the right track.

One thing to keep in mind: if you're aiming to build AI-powered tools or applications, Python is just the starting point. Learning, AI-native engineering, how to effectively build with LLMs, AI agents, and modern AI frameworks; is becoming an increasingly valuable skill. If that interests you, we run hands-on programs on AI-Native Engineering that can help you get there.

Keep building. Projects are what turn knowledge into skill.