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python-patterns

Guide Python framework selection, async patterns, type hinting, and project structuring.

Updated Jan 16, 2026
Search Tags:#best practices#project structure#python#frameworks#type hints#async
One-click install
npx skills add https://github.com/namninhnd/PrelimStruct --skill python-patterns-namninhnd
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: python-patterns
Source: https://github.com/namninhnd/PrelimStruct/tree/main/.claude/skills/python-patterns
Command: npx skills add https://github.com/namninhnd/PrelimStruct --skill python-patterns-namninhnd

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

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

Core Features & Use Cases

  • Framework Selection: Guides users through choosing the right Python web framework (FastAPI, Django, Flask) based on project needs.
  • Async vs. Sync: Provides clear criteria for deciding when to use asynchronous programming.
  • Type Hinting Strategy: Offers best practices for implementing type hints effectively.
  • Project Structure: Suggests scalable project structures for different application sizes.
  • Use Case: A developer is starting a new API project and is unsure whether to use FastAPI or Flask. This Skill provides a decision tree and comparison points to help them choose.

Quick Start

Use the python-patterns skill to decide whether to use FastAPI or Flask for a new API 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 a new Python API project?▼

Choosing between FastAPI, Django, and Flask depends on your project needs. This guidance provides a decision tree comparing framework features to help you select the right tool for API development.

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

Use async programming in Python when your application handles high-concurrency I/O operations. This guidance provides clear criteria to decide between asynchronous and synchronous patterns for scalable codebases.

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

The best way to structure a scalable Python project involves organizing modules by application size. This guidance suggests scalable project structures tailored for microservices and full-stack applications.

How do I implement type hints effectively in Python?▼

Implement type hints effectively by following a strategy that emphasizes maintainability. This guidance offers best practices for type hinting strategies to ensure robust Python codebases.

Does this Python framework guidance apply to microservices and full-stack applications?▼

Yes, this Python framework guidance applies to microservices and full-stack applications. It addresses decision-making specifically for these architectures to ensure scalable codebases.

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