“Python”

Typed modern Python on uv, ruff, and ty - pyproject, lint and type config, style, Pydantic models, CI.

Use Google ADK Python to build agents, Workflow graphs, tools, runtime services, CLI apps, evaluations, deployments, and ADK repository changes.

Expert assistance with the Atomic Simulation Environment (ASE) Python library for atomistic simulations, including structure building, calculator setup…

Formats and lints Python code with black and isort, and checks that imported HTTP calls have timeouts.

Handle Python SDK release, build, bump, packaging metadata, PyPI client pin, uv.lock, nox/build workflow, and publish verification changes.

Run Python code from natural language prompts, with optional PyPI package install.

Profile and optimize Python CPU, memory, I/O, concurrency, and numerical performance.

Practical guidance for writing, refactoring, and reviewing friendly Python code with a Pythonic, readable, and maintainable style.

Scaffold a new Python package with pyproject.toml, hatchling build system, ruff linting, and --version support via importlib.metadata.

Python/FastAPI coding conventions and best practices.

Write, edit, refactor, or review Python as concise, stdlib-first, fully typed code that validates input at the boundary and passes basedpyright.

Review a Python GitHub PR across five specialist axes — DynamoDB data modeling, Python logic & code smells, REST API design, tests, architecture — verify…

Modern Python project setup with uv, ruff, and pyright.

Create, modify, test, or package Python provider adapters under python/providers, including framework-specific dependencies, public imports, type inference…

Manage and execute Python through reusable, independent uv purpose projects under the Python Environment Root explicitly configured in AGENTS.md.

Execute Python code to perform tasks that are not covered by other tools.

Adds Dapr pub/sub to an existing Python FastAPI app.

Vehicle routing (VRP, TSP, PDP) with cuOpt — Python API only.

Team conventions for Python development — credentials, API clients, LLM response parsing, testing patterns, and data pipeline structure.

Scaffolding and setting up Python applications, FastAPI APIs, FastMCP servers, and project structures in this workspace.

House Python conventions plus the type-checking failures that get misdiagnosed: the dependency pinning policy (applications exact, libraries floors), the rule…

Python backend for Databricks Apps — FastAPI (default), Flask, Dash, Streamlit, Gradio, Reflex.

Scaffold a new Python project with strict tooling — uv, src layout, ruff, pyright strict, tach layer enforcement, deptry, vulture, and an 8-hook pre-commit…

Consult version-specific Python syntax, built-in type, and typing updates when writing or reviewing Python code or discussing new Python features.