“Python”

Improves Python library code quality through ruff linting, mypy type checking, Pythonic idioms, and refactoring.

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

Write or modify Python web services — FastAPI, Django, Flask, or Starlette — adapting to the project's framework, dependency tooling, and async model.

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.

Python coding guidance.

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

Guide to functional-style Python — pure functions, immutability, HOFs, functools/itertools, typed functional patterns.

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.

Use when writing, reviewing, or modifying Python code (*.py files).

Detailed PEP 8 guide for Python code — layout, imports, names, whitespace, comments, programming recommendations (None comparisons, exceptions, return…

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

Test-Driven Development patterns for Python projects.

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.

Boas práticas ao trabalhar com caminhos de arquivos em Python

Expert guidance for Python application development, strictly using uv for dependency management and project isolation.

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