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python-development

Modern Python development with Python 3.12+, Django, FastAPI, async patterns, and production best practices. Use for Python projects, APIs, data processing, or automation scripts.

821stars86forksUpdated 2/18/2026
Data Science & MLProductivity & WorkflowTesting & QA#fastapi#django#testing#async-programming#python#automation

Security Assessment

Safe(100/100)
Security Score100/100

About python-development

The 'python-development' skill is designed to help developers implement modern Python practices, focusing on Python 3.12+ and the latest frameworks like Django and FastAPI. It solves the problem of streamlining Python project setups, improving code quality with type hints, and adopting asynchronous patterns for scalable I/O operations. With this skill, users can quickly set up their development environment for building APIs, processing data, and automating tasks with best practices for production-grade Python applications.

This skill provides essential tools for building Python projects, with an emphasis on modularity, testing, and clean code. It includes standardized project structures, dependencies management with 'pyproject.toml', and built-in tools for linting, type checking, and testing. The integration of modern asynchronous patterns, FastAPI, and Pydantic facilitates efficient API development and data validation. The skill also guides the use of production-ready practices such as using async resources, handling large datasets efficiently, and adhering to the strict type checking with 'mypy' and linting with 'ruff'.

This skill is ideal for Python developers building modern web applications, data processing systems, or automation scripts. It is particularly useful for teams and individuals who need to follow industry best practices, maintain clean and readable code, and build scalable systems that require high performance under heavy I/O workloads. Whether you're developing APIs, handling large datasets, or writing automation scripts, this skill can help you work efficiently and with confidence in production environments.

FAQ

How do I set up a Python project using this skill?

You can set up a Python project by following the standard project structure outlined in the documentation, which includes creating directories like 'src', 'tests', and defining the 'pyproject.toml' file for dependencies and project metadata.

Is this skill compatible with Python versions earlier than 3.12?

This skill specifically requires Python 3.12 or later. It utilizes features and dependencies compatible only with Python 3.12+.

Can I use this skill with non-web Python projects?

Yes, this skill can be used for a variety of Python projects, including data processing and automation scripts, in addition to web API development.

Are there any additional requirements for using the FastAPI features?

To use FastAPI features, you need to install FastAPI and Pydantic as specified in the 'pyproject.toml' file. These dependencies are required for building APIs and handling data validation.

Does this skill include any guidelines for testing Python applications?

Yes, the skill provides testing examples using 'pytest' and mock objects. It includes strategies for testing asynchronous code using 'pytest.mark.asyncio' and mocking database calls.

Install python-development

Download and extract the skill files to your .claude/skills/ directory.

Quick Setup:

  1. Copy the skill folder to .claude/skills/
  2. Claude will automatically detect and use the skill

Repository

skillcreatorai/Ai-Agent-Skills

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