feat: add interactive exploration of Shannon's capacity formula with Plotly graphs
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Build & Deploy Shannon / 🏗️ Build & Deploy Shannon (push) Successful in 3m1s
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Build & Deploy Shannon / 🏗️ Build & Deploy Shannon (push) Successful in 3m1s
- Implemented bandwidth sensitivity and power sensitivity plots. - Created a contour map for bit rate multiplying factors. - Added input parameters for C/N and bandwidth with validation. - Displayed computed results and sensitivity analysis metrics. - Integrated interactive graphs for user exploration. - Included background information section for user guidance.
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@@ -1,25 +1,19 @@
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HTMLParser
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tk-tools==0.16.0
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Flask==1.1.2
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Jinja2==3.0.3
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MarkupSafe==2.0.1
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astropy==5.3
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certifi==2021.10.8
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cycler==0.11.0
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fonttools==4.28.5
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itur==0.3.3
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kiwisolver==1.4.4
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matplotlib==3.7.2
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numpy==1.25
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packaging==21.3
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Pillow==10.0.0
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pyerfa==2.0.0.3
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pyparsing==3.0.6
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pyproj==3.6.0
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remi==2021.3.2
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PySimpleGUI==4.60.5
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python-dateutil==2.8.2
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PyYAML==6.0
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scipy==1.11.1
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six==1.16.0
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# Core scientific dependencies
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numpy>=1.25
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scipy>=1.11
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matplotlib>=3.7
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plotly>=5.18
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# Streamlit
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streamlit>=1.30
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# Satellite propagation model
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itur>=0.3.3
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# Astronomy utilities
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astropy>=5.3
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# Geospatial
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pyproj>=3.6
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# Database (built-in sqlite3, no extra dep needed)
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