| Name | dman JSON |
| Version |
1.0.1
JSON |
| download |
| home_page | |
| Summary | Toolbox for experimental data management in Python. |
| upload_time | 2022-12-15 18:10:37 |
| maintainer | |
| docs_url | None |
| author | |
| requires_python | >=3.8 |
| license | |
| keywords |
data management
data
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
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| coveralls test coverage |
No coveralls.
|
# The Data Manager Package
The ``dman`` package is intended for enabling easy reproducibility of numerical experiments. Data is stored in a human-readable fashion (whenever possible).
[Documentation](https://petercoppens.github.io/dman/docs/index.html) is provided in Sphinx.
A good place to start is the [Getting Started](https://petercoppens.github.io/dman/docs/gallery/misc/example0_common.html) page.
Documented [Examples](https://petercoppens.github.io/dman/docs/gallery/fundamentals/index.html) are also provided. Especially check out those
in [Patterns](https://petercoppens.github.io/dman/docs/gallery/patterns/index.html) for common use-cases
and [Case Studies](https://petercoppens.github.io/dman/docs/gallery/cases/index.html) for examples on how to interface
``dman`` with other common packages like ``numpy``.
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