lavalamp


Namelavalamp JSON
Version 0.1.0 PyPI version JSON
download
home_pageNone
SummaryA library for teaching the snake to digest random numbers.
upload_time2025-08-31 23:34:38
maintainerNone
docs_urlNone
authorNone
requires_python>=3.9
licenseMIT
keywords random numbers monte carlo
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # lavalamp

            

Raw data

            {
    "_id": null,
    "home_page": null,
    "name": "lavalamp",
    "maintainer": null,
    "docs_url": null,
    "requires_python": ">=3.9",
    "maintainer_email": null,
    "keywords": "random numbers, monte carlo",
    "author": null,
    "author_email": "Alexandru Sterpu <alex@alstengineering.com>",
    "download_url": "https://files.pythonhosted.org/packages/a5/64/e7c329ba210fb044b3d0c2c2b23dd818ef89e6b8f1b8d145ed8633c3cb61/lavalamp-0.1.0.tar.gz",
    "platform": null,
    "description": "# lavalamp\r\n",
    "bugtrack_url": null,
    "license": "MIT",
    "summary": "A library for teaching the snake to digest random numbers.",
    "version": "0.1.0",
    "project_urls": null,
    "split_keywords": [
        "random numbers",
        " monte carlo"
    ],
    "urls": [
        {
            "comment_text": null,
            "digests": {
                "blake2b_256": "0d4e97638fc5a5e0be88e89e4ea882a4d07e374cef418aa65aa01e9b4f79bd90",
                "md5": "6ae90f324ab2a882edbc6d0dce405e1d",
                "sha256": "f23d667b02d1d49f895183c2bea98ae158720b9f125c603238c6b48479ec5b58"
            },
            "downloads": -1,
            "filename": "lavalamp-0.1.0-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "6ae90f324ab2a882edbc6d0dce405e1d",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.9",
            "size": 5030,
            "upload_time": "2025-08-31T23:34:37",
            "upload_time_iso_8601": "2025-08-31T23:34:37.714430Z",
            "url": "https://files.pythonhosted.org/packages/0d/4e/97638fc5a5e0be88e89e4ea882a4d07e374cef418aa65aa01e9b4f79bd90/lavalamp-0.1.0-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": null,
            "digests": {
                "blake2b_256": "a564e7c329ba210fb044b3d0c2c2b23dd818ef89e6b8f1b8d145ed8633c3cb61",
                "md5": "98e39a4d0d5226f7c72ccb2d857f46ac",
                "sha256": "86a31bde5ad8aacdea9a0fb2a17d35fcf1d0f2edc20e4099e5d40ac85dba178e"
            },
            "downloads": -1,
            "filename": "lavalamp-0.1.0.tar.gz",
            "has_sig": false,
            "md5_digest": "98e39a4d0d5226f7c72ccb2d857f46ac",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.9",
            "size": 4634,
            "upload_time": "2025-08-31T23:34:38",
            "upload_time_iso_8601": "2025-08-31T23:34:38.678757Z",
            "url": "https://files.pythonhosted.org/packages/a5/64/e7c329ba210fb044b3d0c2c2b23dd818ef89e6b8f1b8d145ed8633c3cb61/lavalamp-0.1.0.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2025-08-31 23:34:38",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "lcname": "lavalamp"
}
        
Elapsed time: 1.55443s