dolvins

Name	dolvins JSON
Version	0.0.6 JSON
	download
home_page	None
Summary	Dolvin's Math and Stats Library
upload_time	2024-08-08 15:10:47
maintainer	None
docs_url	None
author	Landon Dolvin
requires_python	None
license	None
keywords	python distributions probability linear algebra statistics mathematics
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            
# Dolvins



This project provides a set of functions and classes for optimization, probability, and statistical analysis, with a focus on handling multi-dimensional data, hyperplanes, and distribution analysis.

<br/>



## Table of Contents



- [Installation](#installation)

- [Usage](#usage)

- [Examples](#examples)

- [License](#license)

  <br/>



## Installation



Dolvins is built on the following packages:



- `psutil`

- `numpy`

- `pandas`

- `tqdm`

- `scipy`

- `mpmath`



To install Dolvins automatically with all its dependencies, please run:



```

pip install dolvins

```



<br/>



## Usage



Coming Soon



## License



This project is licensed under the MIT License.



This README file provides detailed documentation for each function and class, including arguments, return values, and example usage. You can adjust the details based on your specific project and needs.



> Written with [StackEdit](https://stackedit.io/).


            

Raw data

            {
    "_id": null,
    "home_page": null,
    "name": "dolvins",
    "maintainer": null,
    "docs_url": null,
    "requires_python": null,
    "maintainer_email": null,
    "keywords": "python, distributions, probability, linear algebra, statistics, mathematics",
    "author": "Landon Dolvin",
    "author_email": "landondolvin@gmail.com",
    "download_url": "https://files.pythonhosted.org/packages/9e/da/d368103b90ad982ef66b65a9cd212874ff38c766d2a9ec1e764d31b7dd78/dolvins-0.0.6.tar.gz",
    "platform": null,
    "description": "\r\n# Dolvins\r\n\r\n\r\n\r\nThis project provides a set of functions and classes for optimization, probability, and statistical analysis, with a focus on handling multi-dimensional data, hyperplanes, and distribution analysis.\r\n\r\n<br/>\r\n\r\n\r\n\r\n## Table of Contents\r\n\r\n\r\n\r\n- [Installation](#installation)\r\n\r\n- [Usage](#usage)\r\n\r\n- [Examples](#examples)\r\n\r\n- [License](#license)\r\n\r\n  <br/>\r\n\r\n\r\n\r\n## Installation\r\n\r\n\r\n\r\nDolvins is built on the following packages:\r\n\r\n\r\n\r\n- `psutil`\r\n\r\n- `numpy`\r\n\r\n- `pandas`\r\n\r\n- `tqdm`\r\n\r\n- `scipy`\r\n\r\n- `mpmath`\r\n\r\n\r\n\r\nTo install Dolvins automatically with all its dependencies, please run:\r\n\r\n\r\n\r\n```\r\n\r\npip install dolvins\r\n\r\n```\r\n\r\n\r\n\r\n<br/>\r\n\r\n\r\n\r\n## Usage\r\n\r\n\r\n\r\nComing Soon\r\n\r\n\r\n\r\n## License\r\n\r\n\r\n\r\nThis project is licensed under the MIT License.\r\n\r\n\r\n\r\nThis README file provides detailed documentation for each function and class, including arguments, return values, and example usage. You can adjust the details based on your specific project and needs.\r\n\r\n\r\n\r\n> Written with [StackEdit](https://stackedit.io/).\r\n\r\n",
    "bugtrack_url": null,
    "license": null,
    "summary": "Dolvin's Math and Stats Library",
    "version": "0.0.6",
    "project_urls": null,
    "split_keywords": [
        "python",
        " distributions",
        " probability",
        " linear algebra",
        " statistics",
        " mathematics"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "795883bff42379e7af9d34c75df4e2f93853a72c69354883033ac44d5fd46c53",
                "md5": "3b3e886c99b19ab0e1576f797ba5067e",
                "sha256": "c9008cf4f827f150661df6fcb8bca1ed2ce84ff48378b6d70d3503f01e1bb5c8"
            },
            "downloads": -1,
            "filename": "dolvins-0.0.6-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "3b3e886c99b19ab0e1576f797ba5067e",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 5498,
            "upload_time": "2024-08-08T15:10:46",
            "upload_time_iso_8601": "2024-08-08T15:10:46.197296Z",
            "url": "https://files.pythonhosted.org/packages/79/58/83bff42379e7af9d34c75df4e2f93853a72c69354883033ac44d5fd46c53/dolvins-0.0.6-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "9edad368103b90ad982ef66b65a9cd212874ff38c766d2a9ec1e764d31b7dd78",
                "md5": "6961e3005872327ef6d050ee2de04da4",
                "sha256": "41174e8d60f712622e61288b80a64e9e03bfc0b5a2442dec7a0b0d38a09ecc01"
            },
            "downloads": -1,
            "filename": "dolvins-0.0.6.tar.gz",
            "has_sig": false,
            "md5_digest": "6961e3005872327ef6d050ee2de04da4",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 5409,
            "upload_time": "2024-08-08T15:10:47",
            "upload_time_iso_8601": "2024-08-08T15:10:47.397207Z",
            "url": "https://files.pythonhosted.org/packages/9e/da/d368103b90ad982ef66b65a9cd212874ff38c766d2a9ec1e764d31b7dd78/dolvins-0.0.6.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-08-08 15:10:47",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "lcname": "dolvins"
}