The pyPM.ca population modeller (www.pyPM.ca) describes connected systems with discrete-time difference equations. It was developed specifically to understand and characterize the CoViD-19 epidemic.
This package, ipypm, is a convenient graphical user interface (GUI) for pyPM.ca based in interactive python widgets for use inside a Jupyter notebook. After opening the GUI in a notebook, the user can open a pyPM.ca model and compare its predictions with data. Models and data can be accessed on the local filesystem or downloaded from a network server. The model parameters can be adjusted manually or by fitting to data. Models can be examined in detail and modified through the GUI, without programming.
Metadata
Release files for ipypm 0.2.16
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| ipypm-0.2.16.tar.gz | 74.8 kB | Without provenance | Details for ipypm-0.2.16.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| ipypm-0.2.16-py3-none-any.whl | Python 3 | none | any | Details for ipypm-0.2.16-py3-none-any.whl |
Total release size: 132.9 kB
Release files / ipypm-0.2.16.tar.gz
| Download URL | ipypm-0.2.16.tar.gz |
|---|---|
| Size | 74.8 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
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twine/3.3.0 pkginfo/1.7.0 requests/2.22.0 setuptools/45.2.0 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.10
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Release files / ipypm-0.2.16-py3-none-any.whl
| Download URL | ipypm-0.2.16-py3-none-any.whl |
|---|---|
| Size | 58.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.3.0 pkginfo/1.7.0 requests/2.22.0 setuptools/45.2.0 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.10
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