| Name | psweep JSON |
| Version |
0.12.1
JSON |
| download |
| home_page | |
| Summary | loop like a pro, make parameter studies fun |
| upload_time | 2024-03-07 17:50:06 |
| maintainer | |
| docs_url | None |
| author | |
| requires_python | >=3.10 |
| license | Copyright (c) 2022, Steve Schmerler <git@elcorto.com> All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. |
| keywords |
computational-experiment
parameter-sweep
parameter-scan
parameter-study
pandas
database
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
[](https://github.com/astral-sh/ruff)
[](https://pypi.org/project/psweep)
[](https://zenodo.org/badge/latestdoi/92956212)
This package helps you to set up and run parameter studies.
Mostly, you'll start with a script and a for-loop and ask "why do I
need a package for that"? Well, soon you'll want housekeeping tools
and a database for your runs and results. This package exists because
sooner or later, everyone doing parameter scans arrives at roughly the
same workflow and tools.
**Check the [docs here](https://elcorto.github.io/psweep)**.
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