process-improve


Nameprocess-improve JSON
Version 0.9.95 PyPI version JSON
download
home_pageNone
SummaryDesigned Experiments; Latent Variables (PCA, PLS, multivariate methods with missing data); Process Monitoring; Batch data analysis.
upload_time2025-07-15 10:47:42
maintainerNone
docs_urlNone
authorNone
requires_python>=3.10
licenseMIT license
keywords batch data analysis designed experiments latent variables multivariate data analysis pca pls
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage
            # Process Improvement (using Data)

This is a package that goes with the
[online book](https://learnche.org/pid) of the same title,
Process Improvement using Data.

            

Raw data

            {
    "_id": null,
    "home_page": null,
    "name": "process-improve",
    "maintainer": null,
    "docs_url": null,
    "requires_python": ">=3.10",
    "maintainer_email": null,
    "keywords": "Batch data analysis, Designed Experiments, Latent Variables, Multivariate Data Analysis, PCA, PLS",
    "author": null,
    "author_email": "Kevin Dunn <kgdunn@gmail.com>",
    "download_url": "https://files.pythonhosted.org/packages/9d/fa/2fd4c84717084ea921911732dc1b5c922ac5bbfdc5fcc6cbeb9d2b8be8a9/process_improve-0.9.95.tar.gz",
    "platform": null,
    "description": "# Process Improvement (using Data)\n\nThis is a package that goes with the\n[online book](https://learnche.org/pid) of the same title,\nProcess Improvement using Data.\n",
    "bugtrack_url": null,
    "license": "MIT license",
    "summary": "Designed Experiments; Latent Variables (PCA, PLS, multivariate methods with missing data); Process Monitoring; Batch data analysis.",
    "version": "0.9.95",
    "project_urls": {
        "Homepage": "https://github.com/kgdunn/process_improve",
        "Issues": "https://github.com/kgdunn/process_improve/issues",
        "Repository": "https://github.com/kgdunn/process_improve"
    },
    "split_keywords": [
        "batch data analysis",
        " designed experiments",
        " latent variables",
        " multivariate data analysis",
        " pca",
        " pls"
    ],
    "urls": [
        {
            "comment_text": null,
            "digests": {
                "blake2b_256": "fe2427a1574724e338e3d06e597bdad6687603aba21a3710aec11180d4fe45ef",
                "md5": "fbc84e6ba69f20b38aacf4242e6c0bf8",
                "sha256": "ff61ed41966f3f22fdd4286fac58979e08cc2546a578586326a26403ca03539f"
            },
            "downloads": -1,
            "filename": "process_improve-0.9.95-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "fbc84e6ba69f20b38aacf4242e6c0bf8",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.10",
            "size": 3291921,
            "upload_time": "2025-07-15T10:47:40",
            "upload_time_iso_8601": "2025-07-15T10:47:40.953941Z",
            "url": "https://files.pythonhosted.org/packages/fe/24/27a1574724e338e3d06e597bdad6687603aba21a3710aec11180d4fe45ef/process_improve-0.9.95-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": null,
            "digests": {
                "blake2b_256": "9dfa2fd4c84717084ea921911732dc1b5c922ac5bbfdc5fcc6cbeb9d2b8be8a9",
                "md5": "8f1008bd1c30ca449ecb8ac27557451f",
                "sha256": "139662d14768ac51ee87562e61518a57ec8890f0ce73786a869b5274b5844532"
            },
            "downloads": -1,
            "filename": "process_improve-0.9.95.tar.gz",
            "has_sig": false,
            "md5_digest": "8f1008bd1c30ca449ecb8ac27557451f",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.10",
            "size": 3300416,
            "upload_time": "2025-07-15T10:47:42",
            "upload_time_iso_8601": "2025-07-15T10:47:42.971023Z",
            "url": "https://files.pythonhosted.org/packages/9d/fa/2fd4c84717084ea921911732dc1b5c922ac5bbfdc5fcc6cbeb9d2b8be8a9/process_improve-0.9.95.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2025-07-15 10:47:42",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "kgdunn",
    "github_project": "process_improve",
    "travis_ci": false,
    "coveralls": true,
    "github_actions": true,
    "lcname": "process-improve"
}
        
Elapsed time: 1.46982s