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python-patterns

Guide Python framework selection and async programming decisions.

Updated Jan 20, 2026
Search Tags:#development#best practices#python#frameworks#type hints#async
One-click install
npx skills add https://github.com/yunaamelia/mcp-agent-memory-pro --skill python-patterns-yunaamelia
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: python-patterns
Source: https://github.com/yunaamelia/mcp-agent-memory-pro/tree/main/.agent/skills/python-patterns
Command: npx skills add https://github.com/yunaamelia/mcp-agent-memory-pro --skill python-patterns-yunaamelia

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

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

Core Features & Use Cases

  • Framework Guidance: Provides decision trees and comparison tables for choosing between FastAPI, Django, and Flask based on project needs.
  • Async vs. Sync: Explains when and how to effectively use asynchronous programming in Python.
  • Type Hinting & Validation: Details strategies for implementing type hints and using Pydantic for data validation.
  • Project Structure: Offers templates and principles for organizing Python projects of various 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 the decision process by asking relevant questions about project requirements.

Quick Start

Use the python-patterns skill to decide between FastAPI and Flask for a new microservice.

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 a new Python project?▼

Choosing between FastAPI, Django, and Flask depends on your project requirements like async support and data validation. This Skill provides decision trees comparing these Python frameworks to guide your selection for robust applications.

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

Use async programming in Python when handling I/O-bound tasks or building modern web APIs. This Skill explains when and how to effectively use asynchronous versus synchronous programming for maintainable code.

What is the best way to implement type hinting and data validation in Python?▼

The best way to implement type hinting involves using strategies like Pydantic for data validation. This Skill details how to apply type hints effectively to ensure robust Python application development.

How do I structure a Python project to follow modern best practices?▼

To structure a Python project following best practices, use organizational templates based on project size. This Skill offers principles for project structure and background task management to maintain code quality.

Does my Python microservice need FastAPI or Flask for background task management?▼

Your microservice needs FastAPI or Flask depending on your background task management and async requirements. This Skill guides you through the decision process by asking relevant questions about your project needs.

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