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docs: prefer python3 in setup examples (#86)
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@@ -69,12 +69,14 @@ If you have salary data in an Excel file:
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```bash
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pip install openpyxl
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python tools/convert_salary_excel.py path/to/salary-data.xlsx \
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python3 tools/convert_salary_excel.py path/to/salary-data.xlsx \
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--source "My Salary Data 2025" \
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--baseline 100 \
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--baseline-desc "Index 100 = median salary"
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```
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On Windows, use `py` if that is how Python is exposed on your PATH. If your system uses `python` instead of `python3`, substitute that in the examples.
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The converter auto-detects the Excel layout:
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- Looks for a "Company"/"Firma" column and an optional "City"/"By" column
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- Treats remaining columns as salary data (auto-pairs count/index columns)
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@@ -107,10 +109,10 @@ Start with an empty template and add companies as you research them:
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## Usage
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```bash
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python salary_lookup.py "Novo Nordisk"
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python salary_lookup.py "Ørsted" --city "Fredericia"
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python salary_lookup.py "COWI" --json
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python salary_lookup.py --list-all
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python3 salary_lookup.py "Novo Nordisk"
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python3 salary_lookup.py "Ørsted" --city "Fredericia"
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python3 salary_lookup.py "COWI" --json
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python3 salary_lookup.py --list-all
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```
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## Important notes
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