PyOptim

Name	PyOptim JSON
Version	0.0.1 JSON
	download
home_page
Summary	Unconstrained Optimisation Algorithms and Matrix Operations
upload_time	2023-11-07 18:42:39
maintainer
docs_url	None
author	Heyyassinesedjari
requires_python
license
keywords	python optimization matrix operations 2d 3d
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            A Python package integrating around ten unconstrained optimization algorithms, inclusive of 2D/3D visualizations for comparative analysis, and incorporated matrix operations.

            

Raw data

            {
    "_id": null,
    "home_page": "",
    "name": "PyOptim",
    "maintainer": "",
    "docs_url": null,
    "requires_python": "",
    "maintainer_email": "",
    "keywords": "python,optimization,matrix operations,2D,3D",
    "author": "Heyyassinesedjari",
    "author_email": "<yassinesmsedjari@gmail.com>",
    "download_url": "https://files.pythonhosted.org/packages/bd/2a/1f1c2ee8951fe4a9fa91dd5c46fab3c540e75ed825c383abdeb2a9907728/PyOptim-0.0.1.tar.gz",
    "platform": null,
    "description": "A Python package integrating around ten unconstrained optimization algorithms, inclusive of 2D/3D visualizations for comparative analysis, and incorporated matrix operations.\n",
    "bugtrack_url": null,
    "license": "",
    "summary": "Unconstrained Optimisation Algorithms and Matrix Operations",
    "version": "0.0.1",
    "project_urls": null,
    "split_keywords": [
        "python",
        "optimization",
        "matrix operations",
        "2d",
        "3d"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "c5f0c3ecc9764e8dc347b3dd1d37b7c06a7af6f1fd7ee9a927bcc36768bcc0bd",
                "md5": "aef9737658cbf8da50a09e57549c232e",
                "sha256": "409942dec5cc8abb19523bb731dd371f399c6bb577d3515219cd869b977f37b2"
            },
            "downloads": -1,
            "filename": "PyOptim-0.0.1-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "aef9737658cbf8da50a09e57549c232e",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 2147,
            "upload_time": "2023-11-07T18:42:37",
            "upload_time_iso_8601": "2023-11-07T18:42:37.585952Z",
            "url": "https://files.pythonhosted.org/packages/c5/f0/c3ecc9764e8dc347b3dd1d37b7c06a7af6f1fd7ee9a927bcc36768bcc0bd/PyOptim-0.0.1-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "bd2a1f1c2ee8951fe4a9fa91dd5c46fab3c540e75ed825c383abdeb2a9907728",
                "md5": "7a3a7df5482825b401757beee2b687df",
                "sha256": "3a248d63d373d95d94d741307a527d99387ccaddd69dea9c474ccb9cf7ab6bd3"
            },
            "downloads": -1,
            "filename": "PyOptim-0.0.1.tar.gz",
            "has_sig": false,
            "md5_digest": "7a3a7df5482825b401757beee2b687df",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 7008,
            "upload_time": "2023-11-07T18:42:39",
            "upload_time_iso_8601": "2023-11-07T18:42:39.864060Z",
            "url": "https://files.pythonhosted.org/packages/bd/2a/1f1c2ee8951fe4a9fa91dd5c46fab3c540e75ed825c383abdeb2a9907728/PyOptim-0.0.1.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2023-11-07 18:42:39",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "lcname": "pyoptim"
}