Document Details
Weather Service Tutorial
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.
Bias Analysis
Detected Bias Types
windows_first
missing_linux_example
Summary
The documentation consistently references Visual Studio Code (VS Code) and its terminal, but all instructions and screenshots assume a Windows environment. There are no explicit mentions or examples for Linux or macOS users, such as alternative ways to open files, install packages, or use Jupyter Notebooks outside VS Code. The 'Open Jupyter Notebook' section describes right-clicking and menu options specific to Windows Explorer and VS Code on Windows, with no mention of Linux file managers or command-line alternatives.
Recommendations
- Add instructions and screenshots for opening Jupyter Notebooks on Linux and macOS, including command-line alternatives (e.g., 'code weatherDataMaps.ipynb' or 'jupyter notebook weatherDataMaps.ipynb').
- Clarify that pip commands can be run in any terminal (not just the 'Visual Studio terminal'), and provide guidance for Linux/macOS users (e.g., using 'python3 -m pip' if needed).
- Mention that VS Code is cross-platform and provide links or notes about installing and using it on Linux/macOS.
- Where file paths are referenced (e.g., './data/weather_dataset_demo.csv'), clarify that these are POSIX-style and will work on Linux/macOS, but also note any differences if relevant.
- Include a note or section on using Jupyter Notebooks outside of VS Code, such as with the standalone JupyterLab or classic Jupyter Notebook interface, which are common on Linux.
Create Pull Request
Scan History
| Date | Scan | Status | Result |
|---|---|---|---|
| 2026-01-14 00:00 | #250 | in_progress |
 Clean
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| 2026-01-13 00:00 | #246 | completed |
Clean
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| 2026-01-12 00:00 | #243 | cancelled |
Clean
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| 2026-01-11 00:00 | #240 | completed |
Clean
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| 2026-01-10 00:00 | #237 | completed |
Clean
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| 2026-01-09 00:34 | #234 | completed |
Clean
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| 2026-01-08 00:53 | #231 | completed |
Clean
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| 2026-01-06 18:15 | #225 | cancelled |
Clean
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| 2025-08-17 00:01 | #83 | cancelled |
Clean
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| 2025-07-13 21:37 | #48 | completed |
Clean
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| 2025-07-09 13:09 | #3 | cancelled |
Clean
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| 2025-07-08 04:23 | #2 | cancelled |
Biased
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