Skip to main content

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.

A pyPM.ca model is built by connecting a set of population objects with connector objects. The connectors represent either a transfer that occurs immediately at the next time step or one which is delayed and distributed in time. Each population object retains a record of its size at each time step, and also maintains a list of future contributions, arising from delayed transfers from other populations. Calculations of population size are done either in terms of expectation values or simulated data, allowing the model to be used for both analysis and simulation.

Metadata

Release files for pypmca 0.3.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pypmca 0.3.3
File Size Uploaded Provenance Actions
pypmca-0.3.3.tar.gz 103.3 kB Without provenance Details for pypmca-0.3.3.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for pypmca 0.3.3
File Interpreter ABI Platform Actions
pypmca-0.3.3-py3-none-any.whl Python 3 none any Details for pypmca-0.3.3-py3-none-any.whl

Total release size: 201.1 kB

Release files / pypmca-0.3.3.tar.gz

Download URL pypmca-0.3.3.tar.gz
Size 103.3 kB
Tags Source
SHA-256 checksum
How to use checksums
e41e670fcbf871c78798c01f5b6b1711b3a1c9b2d72836dbd2e7a062d9e5f474
BLAKE2b-256 checksum
How to use checksums
d08dc05467b7b48be0162d414ad546f0d8cab6aece834dee9406ce9a430081c5
Upload date
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

Release files / pypmca-0.3.3-py3-none-any.whl

Download URL pypmca-0.3.3-py3-none-any.whl
Size 97.7 kB
Tags Python 3
SHA-256 checksum
How to use checksums
d5f783b8a53aa3aa059e4f064402cf0287c75bebf8de5d42c7bfc3497439a3fe
BLAKE2b-256 checksum
How to use checksums
59b7c4df756e4b6b63323dac75cad36a6a071db8b4512dfce4ee35d179d0adfc
Upload date
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

Security for pypmca 0.3.3

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

0.3.3 This release

2 release files No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page