Welcome to pyslice - dataset template engine’s documentation!
pyslice is a specialized templating system that replaces variables in a template data set with numbers taken from all combinations of a grouped series of numbers. It creates a dataset from input template files for each combination of variables in the series.
The main function of pyslice is to provide utility functions for parametric modeling. Parametric modeling is a process of varying many inputs to a model. A drawback to parametric modeling is that there are usually hundreds to thousands of data sets to prepare and a corresponding number of model runs. pyslice will create the model data sets and manage the model runs, or place the model runs in a queue managed by other software. pyslice is also useful in establishing the sensitivity of a model to changing parameters.
Documentation
Reference documentation is at https://timcera.bitbucket.io/pyslice/docs/index.html
Installation
pip
pip install pyslice
conda
conda install -c conda-forge pyslice
Development
Development is managed on bitbucket at https://bitbucket.org/timcera/pyslice/overview.
Metadata
Release files for pyslice 6.0.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pyslice-6.0.4.tar.gz | 49.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pyslice-6.0.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 88.5 kB
Release files / pyslice-6.0.4.tar.gz
| Download URL | pyslice-6.0.4.tar.gz |
|---|---|
| Size | 49.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
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Transparency logRelease files / pyslice-6.0.4-py3-none-any.whl
| Download URL | pyslice-6.0.4-py3-none-any.whl |
|---|---|
| Size | 39.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jun 11, 2026.
Transparency log