# minitonu
**minitonu** es una biblioteca minimalista que mezcla las ideas de `torch` y `numpy`, pero sin ninguna dependencia. Funciona en Termux, Pydroid3, Replit, Linux, Windows, Android y más.
## Características
- Tensores básicos (`add`, `mul`, `dot`, `sum`, `mean`)
- Red neuronal simple (`Neuron`, `Layer`, `Network`)
- Cero dependencias externas.
- Python puro y educativo.
## Instalación
```bash
pip install minitonu
Raw data
{
"_id": null,
"home_page": null,
"name": "minitonu",
"maintainer": null,
"docs_url": null,
"requires_python": ">=3.6",
"maintainer_email": null,
"keywords": "tensor, neuralnet, educational, minimal, python-puro",
"author": null,
"author_email": "Luis Fernando Monta\u00f1o <tucorreo@example.com>",
"download_url": "https://files.pythonhosted.org/packages/76/bf/0b33d129e7e8a850a1789e228d6655cecf7e6bf6599d895f0561935035cb/minitonu-0.1.0.tar.gz",
"platform": null,
"description": "# minitonu\n\n**minitonu** es una biblioteca minimalista que mezcla las ideas de `torch` y `numpy`, pero sin ninguna dependencia. Funciona en Termux, Pydroid3, Replit, Linux, Windows, Android y m\u00e1s.\n\n## Caracter\u00edsticas\n- Tensores b\u00e1sicos (`add`, `mul`, `dot`, `sum`, `mean`)\n- Red neuronal simple (`Neuron`, `Layer`, `Network`)\n- Cero dependencias externas.\n- Python puro y educativo.\n\n## Instalaci\u00f3n\n```bash\npip install minitonu\n",
"bugtrack_url": null,
"license": "MIT",
"summary": "Microbiblioteca sin dependencias inspirada en torch y numpy.",
"version": "0.1.0",
"project_urls": {
"Homepage": "https://pypi.org/project/minitonu/"
},
"split_keywords": [
"tensor",
" neuralnet",
" educational",
" minimal",
" python-puro"
],
"urls": [
{
"comment_text": null,
"digests": {
"blake2b_256": "c74d84c7cd729c001bbb897f3e18a96cfe255aadfb331e8862c96e81a95fb390",
"md5": "108f25b5ef9cd106009a88c6ec5c02d5",
"sha256": "5a5f4d65023eafa104a318c4951389ac930294a241519684a7fe291183e29760"
},
"downloads": -1,
"filename": "minitonu-0.1.0-py3-none-any.whl",
"has_sig": false,
"md5_digest": "108f25b5ef9cd106009a88c6ec5c02d5",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.6",
"size": 2912,
"upload_time": "2025-08-03T19:16:54",
"upload_time_iso_8601": "2025-08-03T19:16:54.327673Z",
"url": "https://files.pythonhosted.org/packages/c7/4d/84c7cd729c001bbb897f3e18a96cfe255aadfb331e8862c96e81a95fb390/minitonu-0.1.0-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": null,
"digests": {
"blake2b_256": "76bf0b33d129e7e8a850a1789e228d6655cecf7e6bf6599d895f0561935035cb",
"md5": "41d8ab7a5f92cd1694b40e608a83d4a0",
"sha256": "649f20d0e74bb370e8b04acfb22660ebe4b9d3672403464c7608d4219ea1b8a5"
},
"downloads": -1,
"filename": "minitonu-0.1.0.tar.gz",
"has_sig": false,
"md5_digest": "41d8ab7a5f92cd1694b40e608a83d4a0",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.6",
"size": 2535,
"upload_time": "2025-08-03T19:16:55",
"upload_time_iso_8601": "2025-08-03T19:16:55.675202Z",
"url": "https://files.pythonhosted.org/packages/76/bf/0b33d129e7e8a850a1789e228d6655cecf7e6bf6599d895f0561935035cb/minitonu-0.1.0.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2025-08-03 19:16:55",
"github": false,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"lcname": "minitonu"
}