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llm-context

by cyberchitta
--- description: Specifies style guidelines for Jupyter notebooks (.ipynb), focusing on cell structure, documentation, type annotations, AI-assisted development, and output management. Use for Jupyter-based projects to ensure clear, executable notebooks. --- ## Jupyter Notebook Guidelines ### Cell Structure - One logical concept per cell (single function, data transformation, or analysis step) - Execute cells independently when possible - avoid hidden dependencies - Use meaningful cell execution order that tells a clear story ### Documentation Pattern - Use markdown cells for descriptions, not code comments - Code cells should contain zero comments - let expressive code speak for itself - Focus markdown on _why_ and _context_, not _what_ and _how_ ### Type Annotations - Use `jaxtyping` and similar libraries for concrete, descriptive type signatures - Specify array shapes, data types, and constraints explicitly - Examples: ```python from jaxtyping import Float, Int, Array def process_features( data: Float[Array, "batch height width channels"], labels: Int[Array, "batch"] ) -> Float[Array, "batch features"]: ```

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