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Python Skill Gap Assessment for Analysts

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Assess my Python skills for data work. Tasks I do or want to do: [TASKS]. Code I have written recently (paste a short sample): [CODE_SAMPLE]. Time I can spend learning: [HOURS_PER_WEEK].

Produce:
1. A skill matrix: Skill (data loading, cleaning, joins, groupby, plotting, functions, testing, version control, debugging, performance) | Evidence from my sample | Level (new, working, strong) | Next step.
2. Specific observations on my sample: three things done well, three habits to change (with the better version of the lines).
3. A six-week plan with weekly goals, one small real task per week, and a way to check I have learned it.
4. Practice tasks of increasing difficulty with expected outputs.
5. A list of the five errors I will hit most often and how to read the traceback.
6. How to ask for help effectively (a minimal reproducible example template).
Keep the plan within my time budget, show the arithmetic of hours per week, and suggest what to drop if time is short.

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