Lightweight optimization library
Project description
MyPyOpt
Python version of my simple optimization app from school
Documentation ![](https://pypi-camo.freetls.fastly.net/188911dc925eeb51841ab7db975525a845170b4f/68747470733a2f2f72656164746865646f63732e6f72672f70726f6a656374732f6d7970796f70742f62616467652f3f76657273696f6e3d6c6174657374)
Documentation is hosted on ReadTheDocs. The docs are completely bare right now. To build the documentation, enter the docs/ subdirectory and execute make html
; then open /docs/_build/html/index.html
to see the documentation.
Testing ![](https://pypi-camo.freetls.fastly.net/e6abbadbb22056a0e15850969326f63c05e2ac10/68747470733a2f2f7472617669732d63692e6f72672f4d796f6c646d6f7061722f4d7950794f70742e7376673f6272616e63683d6d6173746572)
The source is tested using the python unittest framework. To execute all the unit tests, just execute the test file (since it calls unittest.main()
): python test/test_main.py
. The tests are also executed by Travis CI.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
my-py-opt-0.1.tar.gz
(11.4 kB
view hashes)
Built Distribution
my_py_opt-0.1-py3-none-any.whl
(17.0 kB
view hashes)