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Superficial simplicity isn’t the goal of design. Some things are, by nature, complex. In such cases, you should aim for clarity rather than “simplicity.” Users will be better served if you strive to make complex systems more understandable and learnable than simply simple.
Here's a proposed Table of Contents for your GitHub Wiki, organized by themes and topics based on the titles of the pages:
Introduction and General Information
Landscape Exploration
Core Model Features and Concepts
- Fundamental LASER Model Entities
- Required Model Features
- Open Design Questions
- Notes on Contagion Migration
Architecture
Disease-Specific Topics
Cholera
Measles
Performance
Implementation Notes
- EULA
- Using idmlaser as a pip-installable Module
- Sharding Step Functions
- Python Accelerations
- Modeling (Non‐Disease) Mortality
- Thoughts & Lessons on SQL Modeling
- Fast Linelist Reporting
- Caching Agent Populations (Cholera)
Experiments
- Towards a LASER Co‐Pilot
- To Node or Not to Node
- To Swap or Not to Swap
- Calibration: Early Experiments
- Fast Reporting Experiments
- RIA via Index Management
- Caching Input Population Dataframes (Measles)
- Managing Infected as a Few Queues Instead of Many Vectors
- LASER-GPT: Early-Discoveries
Testing
Deep Thoughts
- Data Input Files
- Some (Engineering‐Oriented) Thoughts on Testing
- Consciously Choosing OOP‐ness
- LASER Modeling in R
- LASER Modeling in R (Part 2)
- Some Thoughts on Aging