Monte Carlo simulations transform uncertainty into measurable insights by running thousands of randomized scenarios. With Python’s robust libraries—NumPy, SciPy, pandas—you can model complex systems, ...

Insurance_claim_agent/ │ ├── app/ │ ├── parser/ │ │ └── pdf_parser.py # PDF text extraction (pdfplumber) │ │ │ ├── extractor/ │ │ ├── base_extractor.py # Abstract base — Template Method pattern ...

This repository is an example accompanying the DES RAP Book — an open educational resource on reproducible discrete-event simulation (DES) in Python and R. The book demonstrates best practices for ...