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dgkngk
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python-patterns

Provides guidance on Python project design, including framework selection,module architecture, and testing strategies.

Updated Feb 26, 2026
Search Tags:#development#best practices#python#frameworks#type hints#async
One-click install
npx skills add https://github.com/dgkngk/super-kit --skill python-patterns-dgkngk
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: python-patterns
Source: https://github.com/dgkngk/super-kit/tree/main/skills/tech/python-patterns
Command: npx skills add https://github.com/dgkngk/super-kit --skill python-patterns-dgkngk

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps developers make informed decisions about Python framework selection, asynchronous programming, type hinting, project structure, and error handling, leading to more robust and maintainable code.

Core Features & Use Cases

  • Framework Guidance: Provides decision trees and comparison principles for choosing between FastAPI, Django, and Flask based on project needs.
  • Async vs. Sync: Offers clear guidelines on when to use asynchronous programming versus synchronous code, and suggests appropriate libraries.
  • Type Hinting & Validation: Explains best practices for type hints and the strategic use of Pydantic for data validation.
  • Project Structure: Outlines recommended directory structures for projects of varying sizes.
  • Use Case: A developer is starting a new web API project and is unsure whether to use FastAPI or Django. This Skill guides them through a series of questions to determine the best fit.

Quick Start

Ask the python-patterns skill for guidance on selecting a web framework for an API-first project.

Frequently Asked Questions about python-patterns

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I choose between FastAPI, Django, and Flask for an API-first Python project?▼

Framework selection depends on project needs like built-in features versus micro-framework flexibility. This Skill guides you through decision trees comparing FastAPI, Django, and Flask to determine the best fit for API development based on your specific requirements.

When should I use async programming instead of synchronous code in Python?▼

Use asynchronous programming when handling concurrent I/O-bound tasks, while synchronous code suits CPU-bound operations. This Skill provides clear guidelines on choosing between async and sync paradigms and suggests appropriate libraries for each approach.

What is the best way to structure a Python project for maintainability?▼

Project structure should scale with project size to ensure maintainability. This Skill outlines recommended directory structures for Python projects of varying sizes, helping you organize code for robust development.

Does using Pydantic for type hinting improve Python data validation?▼

Pydantic significantly improves data validation when strategically combined with type hints. This Skill explains best practices for effective type hinting strategies and the strategic use of Pydantic for robust data validation.

Can I use this Python development guidance for background tasks and testing methodologies?▼

Yes, this Skill addresses decision-making for background tasks and testing methodologies. It emphasizes understanding context over rote memorization of patterns to guide your development decisions for these specific use cases.

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