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Add SimPy a process-based discrete-event simulation framework

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Timothy Kassis
2025-10-23 09:26:44 -07:00
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docs/scientific-packages.md
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- **Matplotlib** - Publication-quality plotting and visualization
- **Polars** - High-performance DataFrame operations with lazy evaluation
- **Seaborn** - Statistical data visualization with dataset-oriented interface, automatic confidence intervals, publication-quality themes, colorblind-safe palettes, and comprehensive support for exploratory analysis, distribution comparisons, correlation matrices, regression plots, and multi-panel figures
- **SimPy** - Process-based discrete-event simulation framework for modeling systems with processes, queues, and resource contention (manufacturing, service operations, network traffic, logistics). Supports generator-based process definition, multiple resource types (Resource, PriorityResource, PreemptiveResource, Container, Store), event-driven scheduling, process interaction mechanisms (signaling, interruption, parallel/sequential execution), real-time simulation synchronized with wall-clock time, and comprehensive monitoring capabilities for utilization, wait times, and queue statistics
- **ReportLab** - Programmatic PDF generation for reports and documents
## Phylogenetics & Trees