pypetb


Namepypetb JSON
Version 0.2.2 PyPI version JSON
download
home_pagehttps://github.com/jgherruzo/pyPETB
SummaryA Set of process engineering tools. Gage RnR and Capability analysis are currently available
upload_time2024-01-20 21:09:42
maintainer
docs_urlNone
authorJose Garcia
requires_python>=3.8,<4.0
licenseMIT
keywords engineering chemical engineering six sigma process improvement
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            <h1 align="center">
<img src="https://raw.githubusercontent.com/jgherruzo/pyPETB/main/logo/current/pyPETB_logo.png" width="300">
</h1><br>

# THE PROCESS ENGINEER TOOLBOX

[![python](https://img.shields.io/badge/python-3.8_|_3.9_|_3.10_|_3.11-blue.svg?logo=python)](https://www.python.org)
[![pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white)](https://github.com/pre-commit/pre-commit)
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)

Process Engineer Tool Box is a package where a set of tools are developed to help in our daily tasks. It is based in the use of pandas. In daily chemical industry task, focused on data analysis
and improvement projects developing, no long dataset are
usually used and pandas cover all the requirements.

## 2- INSTALLATION

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install pyPETB.

```bash
pip install pypetb
```

## 3- USAGE

Please refer to the [Documentation](https://pypetb.readthedocs.io/en/latest/)

Gage R&R [use case](https://medium.com/@jgherruzo/enhancing-industrial-processes-improvement-cycle-with-python-chapter-1-introducing-pypetbs-gage-7a7a9a952052)

## 4- LICENSE

Distributed under the [MIT License](https://github.com/jgherruzo/pyPETB/blob/main/LICENSE.txt).

## 5- ROADMAP

- V0.1 RnRnumeric class to analyze numerical measurement system --> Available
- V0.2 Capability class to make process capability analysis --> Available
- V0.3 RnRcat class to analyze categorical measurement system (Atributes) --> On going
- V0.4 DOE class to analyze DOE results
- V1.1 Periodic Table class (Very useful for V1.2 release)
- V1.2 MEB class for develop material and energy balances

## 6- ACKNOLEDGMENTS

- Thanks to Noël Santiago for his coaching during our six sigma green belt training
- Thanks to Ted Hessing for his detailed article calculating RnR:
https://sixsigmastudyguide.com/repeatability-and-reproducibility-rr/

![Visual Studio Code](https://img.shields.io/badge/Visual%20Studio%20Code-blue?logo=visual%20studio%20code)
![Poetry](https://img.shields.io/badge/Poetry-blue?logo=poetry)
![ReadTheDocs](https://img.shields.io/badge/ReadTheDocs-blue?logo=readthedocs)

            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/jgherruzo/pyPETB",
    "name": "pypetb",
    "maintainer": "",
    "docs_url": null,
    "requires_python": ">=3.8,<4.0",
    "maintainer_email": "",
    "keywords": "engineering,chemical engineering,six sigma,process improvement",
    "author": "Jose Garcia",
    "author_email": "jgherruzo@gmail.com",
    "download_url": "https://files.pythonhosted.org/packages/7e/b2/d906c4df5e69b1121b49712c2e84a1d214bf5b7680331adbbfbfb8ca9874/pypetb-0.2.2.tar.gz",
    "platform": null,
    "description": "<h1 align=\"center\">\n<img src=\"https://raw.githubusercontent.com/jgherruzo/pyPETB/main/logo/current/pyPETB_logo.png\" width=\"300\">\n</h1><br>\n\n# THE PROCESS ENGINEER TOOLBOX\n\n[![python](https://img.shields.io/badge/python-3.8_|_3.9_|_3.10_|_3.11-blue.svg?logo=python)](https://www.python.org)\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[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)\n\nProcess Engineer Tool Box is a package where a set of tools are developed to help in our daily tasks. It is based in the use of pandas. In daily chemical industry task, focused on data analysis\nand improvement projects developing, no long dataset are\nusually used and pandas cover all the requirements.\n\n## 2- INSTALLATION\n\nUse the package manager [pip](https://pip.pypa.io/en/stable/) to install pyPETB.\n\n```bash\npip install pypetb\n```\n\n## 3- USAGE\n\nPlease refer to the [Documentation](https://pypetb.readthedocs.io/en/latest/)\n\nGage R&R [use case](https://medium.com/@jgherruzo/enhancing-industrial-processes-improvement-cycle-with-python-chapter-1-introducing-pypetbs-gage-7a7a9a952052)\n\n## 4- LICENSE\n\nDistributed under the [MIT License](https://github.com/jgherruzo/pyPETB/blob/main/LICENSE.txt).\n\n## 5- ROADMAP\n\n- V0.1 RnRnumeric class to analyze numerical measurement system --> Available\n- V0.2 Capability class to make process capability analysis --> Available\n- V0.3 RnRcat class to analyze categorical measurement system (Atributes) --> On going\n- V0.4 DOE class to analyze DOE results\n- V1.1 Periodic Table class (Very useful for V1.2 release)\n- V1.2 MEB class for develop material and energy balances\n\n## 6- ACKNOLEDGMENTS\n\n- Thanks to No\u00ebl Santiago for his coaching during our six sigma green belt training\n- Thanks to Ted Hessing for his detailed article calculating RnR:\nhttps://sixsigmastudyguide.com/repeatability-and-reproducibility-rr/\n\n![Visual Studio Code](https://img.shields.io/badge/Visual%20Studio%20Code-blue?logo=visual%20studio%20code)\n![Poetry](https://img.shields.io/badge/Poetry-blue?logo=poetry)\n![ReadTheDocs](https://img.shields.io/badge/ReadTheDocs-blue?logo=readthedocs)\n",
    "bugtrack_url": null,
    "license": "MIT",
    "summary": "A Set of process engineering tools. Gage RnR and Capability analysis are currently available",
    "version": "0.2.2",
    "project_urls": {
        "Documentation": "https://pypetb.readthedocs.io/en/latest/",
        "Homepage": "https://github.com/jgherruzo/pyPETB",
        "Repository": "https://github.com/jgherruzo/pyPETB"
    },
    "split_keywords": [
        "engineering",
        "chemical engineering",
        "six sigma",
        "process improvement"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "7a7aacc4ecf31665e12940e6eb43c60b6c34f006be2cc534db9e4c8e5be5d12f",
                "md5": "d3047c18d77f162ec774880d96549b44",
                "sha256": "4f5075a76532b2fa3b9160810b80757659aa9c622d614029f0949d684f6daf50"
            },
            "downloads": -1,
            "filename": "pypetb-0.2.2-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "d3047c18d77f162ec774880d96549b44",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.8,<4.0",
            "size": 19832,
            "upload_time": "2024-01-20T21:09:40",
            "upload_time_iso_8601": "2024-01-20T21:09:40.791846Z",
            "url": "https://files.pythonhosted.org/packages/7a/7a/acc4ecf31665e12940e6eb43c60b6c34f006be2cc534db9e4c8e5be5d12f/pypetb-0.2.2-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "7eb2d906c4df5e69b1121b49712c2e84a1d214bf5b7680331adbbfbfb8ca9874",
                "md5": "7f3d9cd3580db4762f3a9bf09cb78292",
                "sha256": "4083632dd835b5a4cfeba4bb966be4f4840aa5da79c52462697b027f4c93dc6e"
            },
            "downloads": -1,
            "filename": "pypetb-0.2.2.tar.gz",
            "has_sig": false,
            "md5_digest": "7f3d9cd3580db4762f3a9bf09cb78292",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.8,<4.0",
            "size": 19698,
            "upload_time": "2024-01-20T21:09:42",
            "upload_time_iso_8601": "2024-01-20T21:09:42.095934Z",
            "url": "https://files.pythonhosted.org/packages/7e/b2/d906c4df5e69b1121b49712c2e84a1d214bf5b7680331adbbfbfb8ca9874/pypetb-0.2.2.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-01-20 21:09:42",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "jgherruzo",
    "github_project": "pyPETB",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": true,
    "lcname": "pypetb"
}
        
Elapsed time: 0.16988s