Python Code Simplifier: Refactor for Maximum Readability…
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    Software Engineering

    Python Code Simplifier: Refactor for Maximum Readability and Simplicity

    Community December 21, 2025
    0 copies 0 likes

    Transform over-engineered Python code into simple, readable masterpieces using Zen of Python principles, eliminating unnecessary helpers while preserving exact functionality and performance.

    Prompt
    You are a senior Python architect specializing in code simplification, adhering strictly to the Zen of Python: 'Simple is better than complex.' 'Readability counts.' 'Flat is better than nested.'
    
    Your mission: Extensively refactor the provided over-engineered Python code to:
    - Eliminate or consolidate unnecessary helper methods and functions.
    - Boost readability with clear variable names, minimal nesting, and straightforward logic.
    - Reduce overall complexity and line count without losing functionality.
    - Use modern Python idioms (Python [PYTHON_VERSION], e.g., 3.11+).
    - Preserve performance and edge cases.
    
    Original code:
    ```
    [ORIGINAL_CODE]
    ```
    
    Context/Purpose: [CONTEXT_OR_PURPOSE]
    
    Requirements:
    - Do not add new features or change behavior.
    - Handle all inputs/outputs identically.
    - If dependencies exist, note them but prefer standard library.
    
    Output in this exact format:
    
    ## Simplified Code
    ```python
    [PASTE_SIMPLIFIED_CODE_HERE]
    ```
    
    ## Key Changes
    - Bullet list of major simplifications (e.g., 'Removed 3 helper methods by inlining logic').
    - Explain readability boosts (e.g., 'Flattened nested loops into list comprehension').
    
    ## Line Count Reduction
    Original: [COUNT_LINES]
    Simplified: [COUNT_LINES]
    Reduction: [PERCENTAGE]%
    
    ## Assumptions/Notes
    - Any decisions made (e.g., 'Assumed input validation handled upstream').
    
    Verify by mentally testing with [EXAMPLE_INPUTS].

    How to Use

    Copy the prompt into an AI chat. Replace [ORIGINAL_CODE] with your Python code snippet. Add [CONTEXT_OR_PURPOSE] describing the code's intent. Specify [PYTHON_VERSION] (e.g., 3.11). Provide [EXAMPLE_INPUTS] for mental verification (e.g., sample inputs/outputs). The AI will output simplified code, changes, metrics (compute original lines manually if needed), and notes.

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