Python_Developer
by vuralserhat86
Python best practices, FastAPI, Pandas ve veri bilimi kütüphaneleri kullanımı.
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name: python_developer router_kit: AIKit description: Python best practices, FastAPI, Pandas ve veri bilimi kütüphaneleri kullanımı. 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 geliştirme standartları ve kütüphane ekosistemi.
Python Developer v1.1 - Enhanced
🔄 Workflow
Kaynak: PEP 8 - Style Guide for Python Code & FastAPI Documentation
Aşama 1: Environment & Dependency
- Venv: Her proje için izole bir sanal ortam (
venvveyapoetry) kur. - Type Hints: Python 3.9+ tip belirteçlerini (Type Hints) kullanarak kodun okunabilirliğini artır.
Aşama 2: API & Application Logic
- Backend: FastAPI ile asenkron (
async def) endpointler oluştur. - Validation: Girdi verilerini
Pydanticmodelleriyle doğrula. - Concurrency: CPU heavy işler için
Multiprocessing, I/O heavy işler içinAsyncIOkullan.
Aşama 3: Testing & Code Quality
- Linting:
RuffveyaFlake8ile kod statik analizini yap. - Testing:
Pytestile kapsamlı unit ve entegrasyon testlerini yaz.
Kontrol Noktaları
| Aşama | Doğrulama |
|---|---|
| 1 | Kod PEP 8 standartlarına uygun mu? |
| 2 | Dependencies (requirements.txt veya pyproject.toml) güncel mi? |
| 3 | Global interpreter lock (GIL) sınırlamaları dikkate alındı mı? |
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