A structured 6-phase roadmap for learning Python programming effectively. Starts with core fundamentals (variables, data types, loops, functions), progresses through small projects and object-oriented programming, covers developer tools like Git and virtual environments, then specializes in one area (web dev, data analysis, automation, or AI). Advanced phases include Pythonic features like list comprehensions and decorators, plus performance concepts like threading and async programming. Emphasizes the 80/20 rule of spending 80% time coding and 20% learning theory.
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