numerical-collection-py


Namenumerical-collection-py JSON
Version 0.2.0 PyPI version JSON
download
home_pagehttps://gitlab.com/MusicScience37Projects/numerical-analysis/numerical-collection-py
SummaryA collection of algorithms in numerical analysis for Python (originally implemented in C++).
upload_time2023-04-06 15:50:52
maintainer
docs_urlNone
authorKenta Kabashima
requires_python>=3.10,<3.12
licenseApache-2.0
keywords
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # numerical-collection-py

A collection of algorithms in numerical analysis for Python (originally implemented in C++).

![PyPI](https://img.shields.io/pypi/v/numerical-collection-py)
![PyPI - License](https://img.shields.io/pypi/l/numerical-collection-py)
[![pipeline status](https://gitlab.com/MusicScience37Projects/numerical-analysis/numerical-collection-py/badges/develop/pipeline.svg)](https://gitlab.com/MusicScience37Projects/numerical-analysis/numerical-collection-py/-/commits/develop)
[![pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white)](https://github.com/pre-commit/pre-commit)
[![coverage report](https://gitlab.com/MusicScience37Projects/numerical-analysis/numerical-collection-py/badges/develop/coverage.svg)](https://gitlab.com/MusicScience37Projects/numerical-analysis/numerical-collection-py/-/commits/develop)

## Repositories

- Main in GitLab: [https://gitlab.com/MusicScience37Projects/numerical-analysis/numerical-collection-py](https://gitlab.com/MusicScience37Projects/numerical-analysis/numerical-collection-py)

## Documentation

- [Documentation built on develop branch](https://musicscience37projects.gitlab.io/numerical-analysis/numerical-collection-py/)

            

Raw data

            {
    "_id": null,
    "home_page": "https://gitlab.com/MusicScience37Projects/numerical-analysis/numerical-collection-py",
    "name": "numerical-collection-py",
    "maintainer": "",
    "docs_url": null,
    "requires_python": ">=3.10,<3.12",
    "maintainer_email": "",
    "keywords": "",
    "author": "Kenta Kabashima",
    "author_email": "kenta_program37@hotmail.co.jp",
    "download_url": "https://files.pythonhosted.org/packages/2b/17/d589c1c105094e33f0cb090b5306ce21125be236d60d718bdec85c5d891e/numerical-collection-py-0.2.0.tar.gz",
    "platform": null,
    "description": "# numerical-collection-py\n\nA collection of algorithms in numerical analysis for Python (originally implemented in C++).\n\n![PyPI](https://img.shields.io/pypi/v/numerical-collection-py)\n![PyPI - License](https://img.shields.io/pypi/l/numerical-collection-py)\n[![pipeline status](https://gitlab.com/MusicScience37Projects/numerical-analysis/numerical-collection-py/badges/develop/pipeline.svg)](https://gitlab.com/MusicScience37Projects/numerical-analysis/numerical-collection-py/-/commits/develop)\n[![pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white)](https://github.com/pre-commit/pre-commit)\n[![coverage report](https://gitlab.com/MusicScience37Projects/numerical-analysis/numerical-collection-py/badges/develop/coverage.svg)](https://gitlab.com/MusicScience37Projects/numerical-analysis/numerical-collection-py/-/commits/develop)\n\n## Repositories\n\n- Main in GitLab: [https://gitlab.com/MusicScience37Projects/numerical-analysis/numerical-collection-py](https://gitlab.com/MusicScience37Projects/numerical-analysis/numerical-collection-py)\n\n## Documentation\n\n- [Documentation built on develop branch](https://musicscience37projects.gitlab.io/numerical-analysis/numerical-collection-py/)\n",
    "bugtrack_url": null,
    "license": "Apache-2.0",
    "summary": "A collection of algorithms in numerical analysis for Python (originally implemented in C++).",
    "version": "0.2.0",
    "split_keywords": [],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "965e55d9540010aaa4c39235574363b782d77be97aa589a0a1e8dd63783e104c",
                "md5": "36a65ef34889ab9b913c90c7b0844b63",
                "sha256": "29d7b8fc32f7b9c752c6ef290ce64214dfb6be82fef5badbb0c76b6889554940"
            },
            "downloads": -1,
            "filename": "numerical_collection_py-0.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
            "has_sig": false,
            "md5_digest": "36a65ef34889ab9b913c90c7b0844b63",
            "packagetype": "bdist_wheel",
            "python_version": "cp310",
            "requires_python": ">=3.10,<3.12",
            "size": 520624,
            "upload_time": "2023-04-06T15:50:49",
            "upload_time_iso_8601": "2023-04-06T15:50:49.265285Z",
            "url": "https://files.pythonhosted.org/packages/96/5e/55d9540010aaa4c39235574363b782d77be97aa589a0a1e8dd63783e104c/numerical_collection_py-0.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "f7ee99295adccf2538087d0a09045cf43fac45b3fffdaedf2c128fa64e2902c6",
                "md5": "2a9fa1344256f128a3fbf0b1bc93f244",
                "sha256": "e0fdc2644573cb8773ae1e2064aee040cc535dd450155cbc17e4e6c68831d025"
            },
            "downloads": -1,
            "filename": "numerical_collection_py-0.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
            "has_sig": false,
            "md5_digest": "2a9fa1344256f128a3fbf0b1bc93f244",
            "packagetype": "bdist_wheel",
            "python_version": "cp311",
            "requires_python": ">=3.10,<3.12",
            "size": 520634,
            "upload_time": "2023-04-06T15:50:51",
            "upload_time_iso_8601": "2023-04-06T15:50:51.116823Z",
            "url": "https://files.pythonhosted.org/packages/f7/ee/99295adccf2538087d0a09045cf43fac45b3fffdaedf2c128fa64e2902c6/numerical_collection_py-0.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "2b17d589c1c105094e33f0cb090b5306ce21125be236d60d718bdec85c5d891e",
                "md5": "7c6a865b38f27f64ec670cd438ca54b6",
                "sha256": "e26ff1bb91c599bff933f21d8afb65e1d5d094de8d44fda126a59ec6b2158299"
            },
            "downloads": -1,
            "filename": "numerical-collection-py-0.2.0.tar.gz",
            "has_sig": false,
            "md5_digest": "7c6a865b38f27f64ec670cd438ca54b6",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.10,<3.12",
            "size": 20938,
            "upload_time": "2023-04-06T15:50:52",
            "upload_time_iso_8601": "2023-04-06T15:50:52.103981Z",
            "url": "https://files.pythonhosted.org/packages/2b/17/d589c1c105094e33f0cb090b5306ce21125be236d60d718bdec85c5d891e/numerical-collection-py-0.2.0.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2023-04-06 15:50:52",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "lcname": "numerical-collection-py"
}
        
Elapsed time: 0.05151s