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python-patterns

Guide Python development decisions for frameworks, async patterns, and type hinting.

10|2|Updated Mar 10, 2026
Search Tags:#development#best practices#performance#python#frameworks#async
One-click install
npx skills add https://github.com/bugrabilge/bilge-development-kit --skill python-patterns-bugrabilge
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: python-patterns
Source: https://github.com/bugrabilge/bilge-development-kit/tree/main/skills/python-patterns
Command: npx skills add https://github.com/bugrabilge/bilge-development-kit --skill python-patterns-bugrabilge

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides guidance on making informed decisions for Python development, covering framework selection, asynchronous programming, type hinting, project structure, and performance optimization, enabling developers to build robust and efficient Python applications.

Core Features & Use Cases

  • Framework Selection: Decision trees and comparison principles for choosing between FastAPI, Django, and Flask.
  • Async vs. Sync: Guidance on when to use asynchronous programming and which libraries to leverage.
  • Type Hinting: Best practices and patterns for using type hints effectively with Pydantic.
  • Project Structure: Recommended directory layouts for various project sizes and types.
  • Performance Optimization: Profiling tools and strategies for CPU and memory optimization.
  • Use Case: When starting a new web API project, use this Skill to decide between FastAPI and Flask based on project requirements, and understand how to implement async views and Pydantic models for data validation.

Quick Start

Use the python-patterns skill to decide whether to use FastAPI or Django 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 project?▼

Choosing between FastAPI, Django, and Flask depends on project requirements like async support and scalability. This Skill provides decision trees comparing these frameworks to help you select the right foundation for your web API.

When should I use asynchronous programming in Python?▼

You should use asynchronous programming in Python when building I/O-bound applications requiring high concurrency. This Skill offers guidance on when to leverage async libraries versus synchronous code for optimal performance.

How do I implement type hinting with Pydantic for data validation?▼

Implement type hinting with Pydantic by defining models that enforce data schemas automatically. This Skill details best practices and patterns for using type hints effectively with Pydantic to ensure robust data validation.

What is the recommended directory layout for Python projects?▼

A recommended Python project directory layout organizes modules by function to ensure maintainability. This Skill provides scaffolding principles and structure recommendations tailored for various project sizes and types.

What are the best ways to optimize Python performance and memory usage?▼

Optimizing Python performance involves using profiling tools to identify bottlenecks in CPU and memory usage. This Skill outlines specific strategies and modern tooling to make your Python applications run more efficiently.

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