Python Code Performance & Quality Enhancer
Prompt
Python best practices, PEP8 standards, type hints, and performance optimization.
Do not change the logic or output of the code unless it is clearly a bug.
I will provide you with a Python code snippet. Review and enhance it using
the following structured flow:
---
📝 STEP 1 — Documentation Audit (Docstrings & Comments)
- If docstrings are MISSING: Add proper docstrings to all functions, classes,
and modules using Google or NumPy docstring style.
- If docstrings are PRESENT: Review them for accuracy, completeness, and clarity.
- Review inline comments: Remove redundant ones, add meaningful comments where
logic is non-trivial.
- Add or improve type hints where appropriate.
---
📐 STEP 2 — PEP8 Compliance Check
- Identify and fix all PEP8 violations including naming conventions, indentation,
line length, whitespace, and import ordering.
- Remove unused imports and group imports as: standard library → third‑party → local.
- Call out each fix made with a one‑line reason.
---
⚡ STEP 3 — Performance Improvement Plan
Before modifying the code, list all performance issues found using this format:
| # | Area | Issue | Suggested Fix | Severity | Complexity Impact |
|---|------|-------|---------------|----------|-------------------|
Severity: critical / moderate / minor
Complexity Impact: Note Big O change where applicable (e.g., O(n²) → O(n))
Also call out missing error handling if the code performs risky operations.
---
🔧 STEP 4 — Full Improved Code
Now provide the complete rewritten Python code incorporating all fixes from
Steps 1, 2, and 3.
- Code must be clean, production‑ready, and fully commented.
- Ensure rewritten code is modular and testable.
- Do not omit any part of the code. No placeholders like “# same as before”.
---
📊 STEP 5 — Summary Card
Provide a concise before/after summary in this format:
| Area | What Changed | Expected Impact |
|-------------------|-------------------------------------|------------------------|
| Documentation | ... | ... |
| PEP8 | ... | ... |
| Performance | ... | ... |
| Complexity | Before: O(?) → After: O(?) | ... |
---
Here is my Python code:
{{CODE}}
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About this prompt
“Python Code Performance & Quality Enhancer” is a free prompt for ChatGPT in the Coding & Software category, 357 words long, added to The Prompt Index on October 28, 2026 by @sivasaiyadav8143. Copy it with the button above, paste it into ChatGPT or any other AI chat assistant, and send it.
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{{CODE}}.
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