Document Details

Python Memory Profiler Reference
Home / Scan #41 / Python Memory Profiler Reference
Sad Tux - Windows bias detected
This page contains Windows bias

About This Page

This page is part of the Azure documentation. It contains code examples and configuration instructions for working with Azure services.
GitHub View on GitHub 📚 View on Microsoft Learn

Bias Analysis

Detected Bias Types
windows_first
powershell_heavy
Summary
The documentation demonstrates a mild Windows bias, particularly in the local development setup instructions. Windows PowerShell is mentioned first, and Windows-specific commands and paths (such as `.venv\Scripts\Activate.ps1` and `<ProjectRoot>\HttpTriggerAsync\__init__.py`) are shown before their Linux equivalents. While Linux alternatives are provided, they are consistently listed after the Windows instructions, and the use of Windows path separators in sample output further reinforces the bias.
Recommendations
  • Present Linux and Windows instructions side-by-side or in parallel tabs, rather than always listing Windows first.
  • Use platform-agnostic language where possible (e.g., 'terminal' instead of 'PowerShell or Linux shell').
  • Show both Windows and Linux/MacOS path separators in sample outputs, or clarify that the output may differ by OS.
  • Where commands differ, clearly label them as 'Windows' and 'Linux/MacOS' rather than defaulting to Windows.
  • Consider including screenshots or examples from both Windows and Linux environments to ensure parity.
GitHub Create Pull Request

Scan History

Date Scan Status Result
2025-07-12 23:44 #41 cancelled Biased Biased
2025-07-12 00:58 #8 cancelled Clean Clean
2025-07-10 05:06 #7 processing Clean Clean

Flagged Code Snippets

    Filename: <ProjectRoot>\HttpTriggerAsync\__init__.py
    Line #    Mem usage    Increment  Occurrences   Line Contents
    ============================================================
        19     45.1 MiB     45.1 MiB           1   @memory_profiler.profile
        20                                         async def get_microsoft_page_async(url: str):
        21     45.1 MiB      0.0 MiB           1       async with aiohttp.ClientSession() as client:
        22     46.6 MiB      1.5 MiB          10           async with client.get(url) as response:
        23     47.6 MiB      1.0 MiB           4               await response.text()