AI Prompts for Claude for Python

Write a Python function that [DESCRIBE WHAT IT SHOULD DO]. Requirements: [LIST REQUIREMENTS]. It should handle [EDGE CASES]. Use type hints and make it production-ready.

I need a Python script that [DESCRIBE TASK]. It should [BEHAVIOR], handle errors gracefully, and be easy to modify later. Include comments only where the logic is non-obvious.

Write a Python class for [CONCEPT]. It should have these methods: [LIST METHODS]. Use dataclasses / Pydantic / plain class [CHOOSE ONE]. Include __repr__ and any relevant dunder methods.

I am building [DESCRIBE PROJECT]. Here is what I have so far: [PASTE CODE]. Write the next component: [DESCRIBE WHAT IS NEEDED]. Make it consistent with the existing style and structure.

Write idiomatic Python for [TASK]. I come from a [JAVA / JAVASCRIPT / OTHER LANGUAGE] background, so show me the Pythonic way to do this, not just a translation of what I would do in my usual language.

I am getting this error: [PASTE FULL TRACEBACK]. Here is the relevant code: [PASTE CODE]. What is causing this, and what is the fix? Explain why the error occurs so I understand it.

This code is not behaving as expected: [PASTE CODE]. Expected behavior: [DESCRIBE]. Actual behavior: [DESCRIBE]. Walk through what the code is actually doing and identify the bug.

I have a subtle bug that only appears when [CONDITION]: [PASTE CODE]. I have already checked [WHAT YOU CHECKED]. What am I missing?

Why does this Python code produce [UNEXPECTED OUTPUT]? [PASTE CODE]. Explain the execution step by step, showing exactly where it goes wrong.

I keep getting [ERROR TYPE] in this script: [PASTE CODE]. I have tried [ATTEMPTED FIXES]. What is the root cause and what is the correct fix?

This Python code works but is too slow: [PASTE CODE]. Profile it mentally and suggest the highest-impact optimizations. Explain the trade-offs of each suggestion.

Refactor this code to be more Pythonic and readable: [PASTE CODE]. Use list comprehensions, context managers, generators, or other Python idioms where they genuinely improve clarity.

This function is doing too much: [PASTE CODE]. Split it into smaller, well-named functions with single responsibilities. Keep the logic identical.

Review this Python code for potential issues: [PASTE CODE]. Check for: common bugs, security issues, performance bottlenecks, and anything that would fail in production.

Convert this synchronous Python code to async: [PASTE CODE]. Use asyncio properly. Flag any parts that cannot be trivially converted and explain why.

I need to [DESCRIBE TASK] in Python. What is the best library or approach for this in [YEAR]? Compare the main options and recommend one for my use case: [DESCRIBE CONTEXT].

Show me how to use [LIBRARY NAME] to [DO SPECIFIC TASK]. Include a complete working example with error handling. Explain any gotchas or non-obvious behavior.

I am building a Python project that needs to [DESCRIBE ARCHITECTURE NEED, E.G., HANDLE CONFIGURATION, MANAGE DEPENDENCIES, STRUCTURE A PACKAGE]. What is the modern best practice approach?

Explain [PYTHON CONCEPT: GENERATORS / DECORATORS / CONTEXT MANAGERS / METACLASSES / DESCRIPTORS] with a practical example that shows when and why to use it.

Review my project structure and suggest improvements: [DESCRIBE OR PASTE STRUCTURE]. I am building [DESCRIBE PROJECT TYPE]. What Python packaging and project organization best practices apply?