python-development

Provide Python development guides and templates for FastAPI, Django, and data pipelines.

6|2|Updated Dec 24, 2025
One-click install
npx skills add https://github.com/Gaku52/claude-code-skills --skill python-development-gaku52
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: python-development
Source: https://github.com/Gaku52/claude-code-skills/tree/main/backend/python-development
Command: npx skills add https://github.com/Gaku52/claude-code-skills --skill python-development-gaku52

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a structured, practical path to learning and applying Python development best practices, consolidating learning resources, project templates, and hands-on guides for building robust Python applications.

Core Features & Use Cases

  • Structured learning path: comprehensive guides from Python basics to advanced topics, including FastAPI, Django, typing, async, data processing, and performance optimization.
  • Templates & tooling: ready-to-use project templates (pyproject.toml, Makefile, Dockerfile) to bootstrap production-ready apps and consistent CI/CD setups.
  • Practical examples & patterns: real-world patterns for API services, data processing pipelines, testing, linting, and packaging.
  • Use Case: A team needs to bootstrap a new Python API service with FastAPI, JWT auth, and robust development workflows; this Skill provides templates and guided tutorials to accelerate delivery.

Quick Start

Begin with the included guides to bootstrap a project: copy the provided templates, set up a virtual environment, install dependencies, and follow the 01-python-intro guide to establish fundamentals and progressively tackle more advanced topics.

Frequently Asked Questions about python-development

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

FAQPage Schema
How do I bootstrap a FastAPI project with production-ready configurations?

You can bootstrap a FastAPI project by copying the provided pyproject.toml, Makefile, and Dockerfile templates to establish packaging, linting, testing, and deployment configurations for production-ready API services.

What is the best way to structure a Python data pipeline using asynchronous programming?

Structuring a Python data pipeline involves applying the included asynchronous programming and performance optimization patterns, which provide real-world workflows for efficient data processing and automation scripts.

Does this Python development guide cover typing and linting best practices?

Yes, it covers typing and linting best practices by providing structured learning paths and concrete tooling configurations to ensure consistent code quality across your Python applications.

Can I use these templates to set up Django and FastAPI services with JWT auth?

Yes, you can use the provided templates to set up FastAPI and Django services, utilizing included real-world patterns for implementing JWT authentication and robust development workflows.

What do I need to start building Python API services with these templates?

You need to copy the provided project templates, set up a virtual environment, install dependencies, and follow the foundational Python intro guide to progressively tackle API service development.

When should I use Django versus FastAPI for my Python backend?

Choose based on your project requirements, as the guide provides structured learning paths and templates for both Django and FastAPI to help you build robust API services, data pipelines, and automation tasks.