lana

Name	lana JSON
Version	0.1.8 JSON
	download
home_page
Summary	Experimental Linear Algebra library written in Rust
upload_time	2023-06-06 07:50:16
maintainer
docs_url	None
author
requires_python	>=3.7
license
keywords	linear algebra
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            ## Lana 🧶

[![stability-wip](https://img.shields.io/badge/stability-wip-lightgrey.svg)](https://github.com/mkenney/software-guides/blob/master/STABILITY-BADGES.md#work-in-progress) 

**L***inear* **A**lgebra for **n***octurnal* *and* **a**dventurous *data scientists.*

## Install 

```console
pip install lana
```

## Example 

```python
from lana import Matrix, inject

zeros = Matrix.zeros((3,3))
print(zeros)
print(f"shape: {zeros.shape}, type: {type(zeros)}")
print(zeros.to_list()[0], zeros.to_list()[0][0])

mat = Matrix.matrix([[1,2,3],[4,5,6]])
print(mat)
print(f"shape: {mat.shape}, type: {type(mat)}")
for rows in mat.to_list():
    print(rows, type(rows))

submat = Matrix.matrix(inject(mat.to_list()[0]))
print(submat)
print(submat.shape, type(submat))
```



            

Raw data

            {
    "_id": null,
    "home_page": "",
    "name": "lana",
    "maintainer": "",
    "docs_url": null,
    "requires_python": ">=3.7",
    "maintainer_email": "",
    "keywords": "linear algebra",
    "author": "",
    "author_email": "Marco Salvalaggio <mar.salvalaggio@gmail.com>",
    "download_url": "",
    "platform": null,
    "description": "## Lana \ud83e\uddf6\r\n\r\n[![stability-wip](https://img.shields.io/badge/stability-wip-lightgrey.svg)](https://github.com/mkenney/software-guides/blob/master/STABILITY-BADGES.md#work-in-progress) \r\n\r\n**L***inear* **A**lgebra for **n***octurnal* *and* **a**dventurous *data scientists.*\r\n\r\n## Install \r\n\r\n```console\r\npip install lana\r\n```\r\n\r\n## Example \r\n\r\n```python\r\nfrom lana import Matrix, inject\r\n\r\nzeros = Matrix.zeros((3,3))\r\nprint(zeros)\r\nprint(f\"shape: {zeros.shape}, type: {type(zeros)}\")\r\nprint(zeros.to_list()[0], zeros.to_list()[0][0])\r\n\r\nmat = Matrix.matrix([[1,2,3],[4,5,6]])\r\nprint(mat)\r\nprint(f\"shape: {mat.shape}, type: {type(mat)}\")\r\nfor rows in mat.to_list():\r\n    print(rows, type(rows))\r\n\r\nsubmat = Matrix.matrix(inject(mat.to_list()[0]))\r\nprint(submat)\r\nprint(submat.shape, type(submat))\r\n```\r\n\r\n\n",
    "bugtrack_url": null,
    "license": "",
    "summary": "Experimental Linear Algebra library written in Rust",
    "version": "0.1.8",
    "project_urls": {
        "Repository": "https://github.com/marcosalvalaggio/lana"
    },
    "split_keywords": [
        "linear",
        "algebra"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "f9f40dd8cc31f7109d56c0629212201280dd4210e998d2629feeb7e40f6ff19f",
                "md5": "1f9eb8d4ae3e2b6ad0b8ae2957cc6d68",
                "sha256": "11e96369805ba90e31d06fd638d90e771e5bd66d1be2afd70066969f36cad6be"
            },
            "downloads": -1,
            "filename": "lana-0.1.8-cp311-none-win_amd64.whl",
            "has_sig": false,
            "md5_digest": "1f9eb8d4ae3e2b6ad0b8ae2957cc6d68",
            "packagetype": "bdist_wheel",
            "python_version": "cp311",
            "requires_python": ">=3.7",
            "size": 514217,
            "upload_time": "2023-06-06T07:50:16",
            "upload_time_iso_8601": "2023-06-06T07:50:16.899884Z",
            "url": "https://files.pythonhosted.org/packages/f9/f4/0dd8cc31f7109d56c0629212201280dd4210e998d2629feeb7e40f6ff19f/lana-0.1.8-cp311-none-win_amd64.whl",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2023-06-06 07:50:16",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "marcosalvalaggio",
    "github_project": "lana",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": false,
    "lcname": "lana"
}