Classes to set up and run a simple numerical model in Python
A graphical user interface to run a NumericalModel
Install
This package is on PyPi. To install numericalmodel, run
pip3 install --user numericalmodelIf you want the GUI too, have a look at the Prerequisites and then install numericalmodel like so:
pip3 install --user 'numericalmodel[gui]'Documentation
You can find detailed documentation of this package here on GitLab.
1 maintainer
Metadata
1 maintainer
Release files for numericalmodel 0.1.20
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| numericalmodel-0.1.20.tar.gz | 226.4 kB | Without provenance | Details |
Release files / numericalmodel-0.1.20.tar.gz
| Download URL | numericalmodel-0.1.20.tar.gz |
|---|---|
| Size | 226.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
2176dbe48b165e357acba03afef06b03d2a051bc7a0ff4b6b3c8ab2fc47bcc41
|
|
BLAKE2b-256 checksum How to use checksums |
12420cc39884cc1a1a2428729d587005e7468babd440b7d849168a88804d4f88
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.3
|
Security for numericalmodel 0.1.20
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.
