Guide Python framework selection and project structure decisions.
npx skills add https://github.com/oalansilva/crypto --skill python-patterns-oalansilva
Please help me install this Agent Skill. Skill: python-patterns Source: https://github.com/oalansilva/crypto/tree/main/.agent/skills/python-patterns Command: npx skills add https://github.com/oalansilva/crypto --skill python-patterns-oalansilva
Python development decisions and best practices without copying code, helping you choose the right framework, patterns, and structure.
Start by selecting your framework based on your project context and follow the decision tree to apply best practices.
High-intent search queries and answers about installing and using this skill.
Choosing a Python framework requires evaluating your project context against a decision tree to select between FastAPI, Django, or Flask. This approach applies structured decision frameworks to align framework selection with your specific API and web app requirements.
Deciding between async and sync patterns in Python depends on your background task and data tooling requirements. Using context-driven recommendations helps evaluate async patterns against industry best practices to determine the right concurrency model for your application.
To structure a Python project for scalability, you should follow context-driven guidance on project layout and type-hint strategies. This provides a structured decision framework to organize your codebase aligned with industry best practices.
You need type hints in Python development when you want to enforce best practices and improve code reliability across complex data tooling. Implementing a type-hint strategy solves the problem of ambiguous function signatures and improves API design maintainability.
Yes, this Python decision framework works for data tooling and scripting tasks by providing context-driven recommendations. It guides framework selection and pattern choices across API design, web apps, and scripting to satisfy specific project requirements.
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