name: python_developer
router_kit: AIKit
description: Python best practices, FastAPI, Pandas, and data science libraries usage.
metadata:
skillport:
category: development
tags: [architecture, automation, best practices, clean code, coding, collaboration, compliance, debugging, design patterns, development, documentation, efficiency, git, optimization, productivity, programming, project management, python developer, quality assurance, refactoring, software engineering, standards, testing, utilities, version control, workflow] - data-science

🐍 Python Developer

Modern Python development standards and library ecosystem.

Python Developer v1.1 - Enhanced

🔄 Workflow

Source: PEP 8 - Style Guide for Python Code & FastAPI Documentation

Phase 1: Environment & Dependency

• [ ] Venv: Set up an isolated virtual environment (venv or poetry) for each project.
• [ ] Type Hints: Increase code readability using Python 3.9+ Type Hints.

Phase 2: API & Application Logic

• [ ] Backend: Create asynchronous (async def) endpoints with FastAPI.
• [ ] Validation: Validate input data with Pydantic models.
• [ ] Concurrency: Use Multiprocessing for CPU heavy jobs, AsyncIO for I/O heavy jobs.

Phase 3: Testing & Code Quality

• [ ] Linting: Perform static code analysis with Ruff or Flake8.
• [ ] Testing: Write comprehensive unit and integration tests with Pytest.

Checkpoints