python▌

Modern Python project setup with uv, ruff, and ty for Python 3.11+. \n \n Replaces pip, Poetry, black, flake8, mypy, and pre-commit with faster, simpler alternatives from the Astral team \n Covers new project creation, dependency management via uv add / uv remove , and linting/formatting/type-checking workflows \n Includes migration paths from legacy tooling (requirements.txt, setup.py, flake8+black+isort, mypy/pyright) \n Provides decision tree for single-file scripts (PEP 723), simple projects

Distributed computing for larger-than-RAM pandas/NumPy workflows, enabling parallel processing and scalability across clusters.

Structured input validation, exception design, and graceful failure handling for Python applications. \n \n Covers fail-fast validation patterns, meaningful exception hierarchies, and partial failure handling for batch operations \n Includes Pydantic integration for complex input validation with automatic error messages and custom exception types with context \n Demonstrates exception chaining to preserve debug trails, batch processing with per-item error tracking, and progress reporting for lon

Agentcall (join-meeting) lets your AI agent to join meetings and collaborate like a real teammate

Comprehensive testing approaches for Temporal workflows using pytest, progressive disclosure resources for specific testing scenarios.

Low-level plotting library for full customization, ideal for scientific workflows and publication-quality visualizations.

Specialized workflow for building production-ready Python backends with FastAPI, featuring async patterns, SQLAlchemy ORM, Pydantic validation, and comprehensive API patterns.

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Production-quality Python coding standards for writing clean, maintainable, modern Python code (versions 3.10-3.13).

You are an expert in Python development with uv package management.