Write reusable Python functions
Turn a repeated calculation into documented, tested functions. Learn parameters, return values, scope and input validation with a notebook and a solved exercise.
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Read a traceback and handle common Python exceptions
A traceback shows where Python stopped and why. Learn to read it, fix the cause and handle invalid input without hiding bugs.
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Understanding the Jupyter kernel and notebook execution order
Understand the Jupyter kernel, Python, .venv and ipykernel. Run cells in dependency order, check stale results and save verified notebook outputs.
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Python mutability and copies: avoiding unintended changes
Understand why two variables can share a list, then choose an appropriate copy to work without changing the original data.
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Python basics: variables, lists, dictionaries, conditions, loops and functions
Learn Python basics through 11 concepts: variables, strings, lists, dictionaries, conditions, loops and functions, with a notebook and a solved exercise.
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Install Python with uv, VS Code and Jupyter
Set up a Python project on Windows with uv, configure VS Code and Jupyter, then check the notebook’s kernel and library versions.
