1. 1. Introduction
2. 2. Getting started
3. 1. 2.1. Related projects
4. 3. Core concepts
5. 1. 3.1. The network
   2. 3.2. Parameters
   3. 3.3. Penalty costs
   4. 3.4. Reservoirs
   5. 3.5. Abstraction licences
   6. 3.6. Scenarios
   7. 3.7. Input data
6. 4. External Data
7. 1. 4.1. Scalar tables
   2. 4.2. Array tables
   3. 4.3. Time series tables
8. 5. Custom parameters
9. 6. River routing and attenuation
10. 7. Multi-models
11. 8. Migration guide
12. 9. Model management
13. 1. 9.1. Version control
    2. 9.2. Packaging
    3. 9.3. Deployment & Docker
14. 10. Developers Guide
15. 1. 10.1. Parameter traits and return types
    2. 10.2. Adding a new parameter
    3. 10.3. Documentation
16. 11. Python API