Results for “pydantic”
9 skillsPydantic Python
Write, review, debug, migrate, or test Python code using Pydantic v2 with explicit boundaries, validation, and serialization contracts.
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Pydantic AI
Build production-ready AI agents with type-safe tool use, structured outputs, dependency injection, and multi-model support using PydanticAI.
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Fastapi Python
Write, review, debug, and test Python FastAPI applications with path operations, dependencies, Pydantic models, lifespan, middleware, background tasks, exception handling, and ASGI tests.
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Pandas Python
Write, review, debug, test, or optimize pandas Series, DataFrame, Index, groupby, merge, reshape, dtype, missing-value, and time-series code.
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Python Project Tooling
Creates, reviews, debugs, and modernizes Python project structure with deterministic tooling including pyproject.toml, uv, Ruff, Pyright, and pytest.
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Polars Python
Write, review, debug, test, and optimize Python Polars code with version-grounded object types, schemas, and execution boundaries.
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Pandera Polars
Creates executable Polars dataframe contracts using Pandera's Polars backend for runtime validation of schemas, columns, and checks.
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Fastapi Patterns
Provides production-oriented patterns for building FastAPI services, covering async endpoints, dependency injection, Pydantic schemas, OpenAPI customization, testing, and security best practices.
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AI Engineering Standards
Enforces production-grade Python and AI engineering standards for FastAPI, LangChain/LangGraph, RAG pipelines, and LLM integrations, covering type safety, error handling, testing, and security.