AI Prompts for Gemini for Python

Write a Python function that [DESCRIBE WHAT IT SHOULD DO]. Requirements: [LIST]. Handle these edge cases: [LIST]. Use type hints and make it production-quality.

I need a Python script that [DESCRIBE TASK]. It should handle errors gracefully, be easy to modify, and follow current Python best practices. The runtime environment is [DESCRIBE: LOCAL / CLOUD / COLAB].

Write a Python class for [CONCEPT] with these methods: [LIST]. Use [DATACLASS / PYDANTIC / PLAIN CLASS] and include __repr__ and any relevant dunder methods.

I am building [DESCRIBE PROJECT]. Current code: [PASTE]. Write the next component: [DESCRIBE]. Stay consistent with the existing structure and style.

Show me the idiomatic Python way to [TASK]. I have a background in [OTHER LANGUAGE], so explain why the Python approach is preferred.

Write Python code to [READ FROM / WRITE TO] Google Sheets using the Google Sheets API. Include: authentication setup, the API call, and error handling.

I am using Google Colab to [DESCRIBE TASK]. Write the Python code for this notebook including: setup cell, main logic cell, and output formatting.

Write Python code to query BigQuery and return results as a pandas DataFrame. Query: [DESCRIBE WHAT DATA YOU NEED]. Handle authentication and large result sets.

I want to use the Gemini API in Python to [DESCRIBE TASK]. Write the setup code and a function that [DESCRIBE THE API CALL]. Use the google-generativeai library.

Write a Python script that uses Google Cloud Storage to [UPLOAD / DOWNLOAD / LIST] files. Include: authentication, error handling, and progress feedback for large files.

I am getting this error: [PASTE FULL TRACEBACK]. Relevant code: [PASTE]. What is the root cause and how do I fix it? Explain why it occurs.

This code runs but is too slow: [PASTE CODE]. Identify the bottlenecks and suggest the highest-impact optimizations. Explain the trade-offs.

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

This function is too long and does too much: [PASTE CODE]. Split it into smaller, focused functions with clear names. Keep the logic identical.

Review this code for bugs and production risks: [PASTE CODE]. Check for: common Python gotchas, error handling gaps, security issues, and performance problems.

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

Show me how to use [LIBRARY: PANDAS / NUMPY / SCIKIT-LEARN / REQUESTS / FASTAPI / SQLALCHEMY] to [SPECIFIC TASK]. Include a working example with realistic data and error handling.

I have this pandas DataFrame: [DESCRIBE STRUCTURE AND SAMPLE]. I want to [DESCRIBE TRANSFORMATION]. Write the code and explain why each step works.

Write a test suite using pytest for this Python function: [PASTE FUNCTION]. Include: happy path, edge cases, error conditions, and any mocks needed.

I am structuring a Python project for [TYPE: CLI TOOL / API SERVICE / DATA PIPELINE / LIBRARY]. Recommend the folder structure, packaging approach, and configuration management.