About
1. Copyright and license
2. Citing pelicun
3. Logo
4. Acknowledgments
4.1. National Science Foundation
4.2. Contributors
5. Release Notes
5.1. Version 3.0
5.2. Version 2.0
5.3. Version 1.0
User Guide
1. Getting started
1.1. Staying up to date
2. The Pelicun Framework
2.1. Abbreviations
2.2. Introduction to Pelicun
2.3. Overview
2.4. Performance Assessment Workflow
2.5. Response Model
2.6. Performance Model
2.7. Damage Model
2.8. Loss Model
3. Overview of pelicun features
3.1. Saving/loading samples
3.2. Logging support
3.3. Uncertainty quantification
3.4. Assessment types
3.5. Demand simulation
3.6. Damage estimation
3.7. Loss estimation
3.8. Command-line support
3.9. Standalone tools
3.10. Feature overview and examples
4. Damage and loss library
5. Bug reports and feature requests
6. Resources for new python users
7. Examples
7.1. Complete list
7.2. Grouped by feature
8. API Reference
8.1. pelicun
Developer Guide
1. Getting started
1.1. Code of conduct
1.2. How to contribute
2. Setting up a development environment
3. Coding practice
3.1. Code quality assurance
3.2. Unit tests
3.3. Documentation
4. Package architecture
4.1. Overview of files
pelicun
8.
API Reference
8.1.
pelicun
8.1.7.
pelicun.tests
8.1.7.6.
pelicun.tests.validation
pelicun.tests.validation.inactive
pelicun.tests.validation.inactive
Modules
pandas_convert_speed