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Merge pull request #13 from pythonhealthdatascience/natcor
NATCOR 2025
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CHANGELOG.md

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## Added
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* `07a_exercise.ipynb`and `07a_solutions.ipynb`: simple exercises to complement learning in `07_experiments.ipynb`
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* `10_multiple_arrival_processes.ipynb`: simulating multiple arrivals classes each with their own distribution
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* `11_blocking.ipynb`: simulating the blocking of one resource while queuing for another.
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* `12_arrival_classes.ipynb`: simulate unique processes for different classes of arrival to the model.
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* `distributions.py`: module containing some distributions to reduce code in notebooks.
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* `basic_model.py`: contains a single activity version of the call centre model to use with `07_exercise.ipynb`
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## [v0.2.0 - 11/02/2024](https://github.com/pythonhealthdatascience/intro-open-sim/releases/tag/v0.2.0) [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.14849934.svg)](https://doi.org/10.5281/zenodo.14849934)
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README.md

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* `05_basic_results.ipynb`: Collecting results from a single run by storing process metrics during a run and performing calculations at the end
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* `06a_basic_results_exercise.ipynb`: An exercise to practice collecting results from a `simpy` model.
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* `07_experiments.ipynb`: our approach to setting up a model for multiple replications, experimentation, and common random numbers
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* `07a_exercise.ipynb`: An exercise to practice using an `Experiment` class with a model
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* `07b_solutions.ipynb` Solutions to the `Experiment` exercises.
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* `08_full_model.ipynb`: an extended version of the 111 call centre process. We also introduce a warm-up period
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* `09_time_weighted_calcs.ipynb`: An alternative approach to collects results for queue length and resource utilisation.
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