Name | pykp JSON |
Version |
4.1.1
JSON |
| download |
home_page | None |
Summary | Tooling for sampling and solving instances of the 0-1 Knapsack Problem. |
upload_time | 2025-01-29 03:53:24 |
maintainer | None |
docs_url | None |
author | None |
requires_python | >=3.12 |
license | MIT |
keywords |
knapsack
optimisation
sampling
algorithms
|
VCS |
 |
bugtrack_url |
|
requirements |
No requirements were recorded.
|
Travis-CI |
No Travis.
|
coveralls test coverage |
No coveralls.
|
# PyKP
<img align="left" width="110" height="110" src="https://raw.githubusercontent.com/HRSAndrabi/pykp/main/docs/source/_static/logo.svg" alt="pykp logo" style="padding-right: 15px">
[](https://pypi.org/project/pykp/)
[](https://pypi.python.org/pypi/pykp)
[](https://github.com/astral-sh/pykp/blob/main/LICENSE)
[](https://pypi.python.org/pypi/pykp)
PyKP is an open-source Python library designed for efficiently solving and analysing knapsack problems. It includes tools for defining problem instances, solving them using various algorithms, and visualising and evaluating solutions.
- **Documentation:** [https://pykp.readthedocs.io](https://pykp.readthedocs.io)
- **Installation** [https://pykp.readthedocs.io/latest/installation/index.html](https://pykp.readthedocs.io/latest/installation/index.html)
- **Source code:** [https://github.com/pykp/pykp](https://github.com/HRSAndrabi/pykp)
- **Contributing:** [https://pykp.readthedocs.io/en/latest/contributing.html](https://pykp.readthedocs.io/latest/contributing/index.html)
- **Bug reports:** [https://github.com/HRSAndrabi/pykp/issues](https://github.com/HRSAndrabi/pykp/issues)
PyKP provides a Python interface for working with knapsack problems. For installation instructions, see [our install guide](https://pykp.readthedocs.io/latest/installation/index.html).
---
## Call for Contributions
Contributions via small improvements or fixes are always appreciated. If you are interested in contributing, have a look at [our contributing guide](https://pykp.readthedocs.io/latest/contributing/index.html).
Writing code isn’t the only way to contribute to PyKP. You can also:
- Review pull requests
- Develop tutorials, presentations, and other educational materials
- Maintain and improve the [documentation](https://pykp.readthedocs.io/latest/index.html)
If you are new to contributing to open source, [this guide](https://opensource.guide/how-to-contribute/) helps explain why, what, and how to get involved.
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