python_lib
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Tips and guidelines specific to the development of the Streamlit Python library, not applicable to scripts and e2e tests.
24 tagged data science, measured the same way as everything else here.
Browse within: machine-learning 16data-analysis 13data-visualization 13deep-learning 13
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Tips and guidelines specific to the development of the Streamlit Python library, not applicable to scripts and e2e tests.
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This directory contains product and tech specs for Streamlit features.
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Changes to these high-fan-out internals can affect every message, delta, element, or rerun. Keep work in them minimal, and benchmark changes with representative stress-test apps.
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When updating tests in this directory, always run them to validate that they succeed. To do so, run.
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Project-wide commenting policy β explain WHY the code is the way it is; avoid change-log comments.
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How to understand, add or modify ZenML domain models.
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How to understand, add or update ZenML ORM schemas.
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See AGENTS.md for chdb-ds design and testing principles.
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See CONTRIBUTING.md for the full contributor guide, including the crash-diagnosis rule (always capture the stack trace before changing code on SIGSEGV / SIGABRT / SIGFPE / SIGILL / SIGBUS / SIGSYS).
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See CONTRIBUTING.md β "PR & commit conventions" for PR title format, commit messages, and branch naming.
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How to use dataprof for tabular data, data-quality checks, and drift investigations.
Ahmet-Ruchan/ML-Engineer-RoadMap
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Cursor rule "project-rules" from Ahmet-Ruchan/ML-Engineer-RoadMap, covering ποΈ 1. general structure, π§© 2. technology stack, βοΈ 3. core principles, ποΈ 4. database rules and core tables.
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mcp-openfoodtox/.
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Data Scientist β messy structured data analysis, statistical method planning, manufacturing analytics, evidence-backed reports.