n6py


Namen6py JSON
Version 0.1.31 PyPI version JSON
download
home_pagehttps://py.n6.ai
SummaryPython Power Tools for Scientific Computing, Machine Learning and Deep Learning.
upload_time2023-01-25 22:16:56
maintainer
docs_urlNone
authorSergej Samsonenko
requires_python>=3.8,<4.0
licenseMIT
keywords n6py ai artificial intelligence dl deep learning ml machine learning jupyter notebook
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            &nbsp;

<p align="center">
  <a href="https://py.n6.ai" target="_blank" rel="noopener noreferrer">
    <img src="https://raw.githubusercontent.com/n6ai/n6py/main/.github/img/n6py.svg" alt="n6py" width="125" height="auto">
  </a>
</p>

# n6py

[![PyPI Latest Release](https://img.shields.io/pypi/v/n6py?color=%23141414&style=for-the-badge)](https://pypi.org/project/n6py)
[![PyPI Python Version](https://img.shields.io/pypi/pyversions/n6py?color=%23141414&style=for-the-badge)](https://pypi.org/project/n6py)

> ⚡ AI Power Tools

Python Power Tools for Scientific Computing, Machine Learning and Deep Learning.

[Read the Docs to Learn More](https://py.n6.ai).

## Try Online

Click one of the icons to start with a fresh copy of `n6py` in an online environment.

<table>
  <tbody>
    <tr>
      <td>
        <a href="https://colab.research.google.com/github/n6ai/n6py/blob/main/notebooks/n6py-demo.ipynb">
          <div align="center">
            <img width="32" height="32" src="https://raw.githubusercontent.com/n6ai/n6py/main/.github/img/colab.svg" />
            <div>Colab</div>
          </div>
        </a>
      </td>
      <td>
        <a href="https://mybinder.org/v2/git/https%3A%2F%2Fgithub.com%2Fn6ai%2Fn6py/HEAD?labpath=%2Fnotebooks%2Fn6py-demo.ipynb">
          <div align="center">
            <img width="32" height="32" src="https://raw.githubusercontent.com/n6ai/n6py/main/.github/img/binder.svg" />
            <div>Binder</div>
          </div>
        </a>
      </td>
      <td>
        <a href="https://kaggle.com/kernels/welcome?src=https://github.com/n6ai/n6py/blob/main/notebooks/n6py-demo.ipynb">
          <div align="center">
            <img width="62" height="32" src="https://raw.githubusercontent.com/n6ai/n6py/main/.github/img/kaggle.svg" />
            <div>Kaggle</div>
          </div>
        </a>
      </td>
    </tr>
  </tbody>
</table>

## Features

- 🐍 Python - Utility library for AI Python projects.
- 📃 Jupyter Notebooks - Designed for use inside Jupyter Notebooks but also works in regular .py files.
- ☁️ Cloud - Notebook Cloud Environment compatible e.g. Google Colab.
- 👶 Simple - Dive right in by adding n6py package to your project via pip.
- 📦 Modular - Pick and choose which modules to import to suit your needs.
- 🎲 Framework Agnostic - Use n6py with many common frameworks - NumPy, Pandas, etc ...

## Installation

```sh
pip install n6py
```

## Import

```py
import n6py as n6
```

## Contribution

See [Contributing Guide](https://github.com/n6ai/n6py/blob/main/.github/CONTRIBUTING.md).

## License

MIT

            

Raw data

            {
    "_id": null,
    "home_page": "https://py.n6.ai",
    "name": "n6py",
    "maintainer": "",
    "docs_url": null,
    "requires_python": ">=3.8,<4.0",
    "maintainer_email": "",
    "keywords": "n6py,ai,artificial intelligence,dl,deep learning,ml,machine learning,jupyter,notebook",
    "author": "Sergej Samsonenko",
    "author_email": "contact@sergej.codes",
    "download_url": "https://files.pythonhosted.org/packages/91/b2/508f86d8b74123703066de18f65ef4d0dafc3528c258ff4dda0257e52336/n6py-0.1.31.tar.gz",
    "platform": null,
    "description": "&nbsp;\n\n<p align=\"center\">\n  <a href=\"https://py.n6.ai\" target=\"_blank\" rel=\"noopener noreferrer\">\n    <img src=\"https://raw.githubusercontent.com/n6ai/n6py/main/.github/img/n6py.svg\" alt=\"n6py\" width=\"125\" height=\"auto\">\n  </a>\n</p>\n\n# n6py\n\n[![PyPI Latest Release](https://img.shields.io/pypi/v/n6py?color=%23141414&style=for-the-badge)](https://pypi.org/project/n6py)\n[![PyPI Python Version](https://img.shields.io/pypi/pyversions/n6py?color=%23141414&style=for-the-badge)](https://pypi.org/project/n6py)\n\n> \u26a1 AI Power Tools\n\nPython Power Tools for Scientific Computing, Machine Learning and Deep Learning.\n\n[Read the Docs to Learn More](https://py.n6.ai).\n\n## Try Online\n\nClick one of the icons to start with a fresh copy of `n6py` in an online environment.\n\n<table>\n  <tbody>\n    <tr>\n      <td>\n        <a href=\"https://colab.research.google.com/github/n6ai/n6py/blob/main/notebooks/n6py-demo.ipynb\">\n          <div align=\"center\">\n            <img width=\"32\" height=\"32\" src=\"https://raw.githubusercontent.com/n6ai/n6py/main/.github/img/colab.svg\" />\n            <div>Colab</div>\n          </div>\n        </a>\n      </td>\n      <td>\n        <a href=\"https://mybinder.org/v2/git/https%3A%2F%2Fgithub.com%2Fn6ai%2Fn6py/HEAD?labpath=%2Fnotebooks%2Fn6py-demo.ipynb\">\n          <div align=\"center\">\n            <img width=\"32\" height=\"32\" src=\"https://raw.githubusercontent.com/n6ai/n6py/main/.github/img/binder.svg\" />\n            <div>Binder</div>\n          </div>\n        </a>\n      </td>\n      <td>\n        <a href=\"https://kaggle.com/kernels/welcome?src=https://github.com/n6ai/n6py/blob/main/notebooks/n6py-demo.ipynb\">\n          <div align=\"center\">\n            <img width=\"62\" height=\"32\" src=\"https://raw.githubusercontent.com/n6ai/n6py/main/.github/img/kaggle.svg\" />\n            <div>Kaggle</div>\n          </div>\n        </a>\n      </td>\n    </tr>\n  </tbody>\n</table>\n\n## Features\n\n- \ud83d\udc0d Python - Utility library for AI Python projects.\n- \ud83d\udcc3 Jupyter Notebooks - Designed for use inside Jupyter Notebooks but also works in regular .py files.\n- \u2601\ufe0f Cloud - Notebook Cloud Environment compatible e.g. Google Colab.\n- \ud83d\udc76 Simple - Dive right in by adding n6py package to your project via pip.\n- \ud83d\udce6 Modular - Pick and choose which modules to import to suit your needs.\n- \ud83c\udfb2 Framework Agnostic - Use n6py with many common frameworks - NumPy, Pandas, etc ...\n\n## Installation\n\n```sh\npip install n6py\n```\n\n## Import\n\n```py\nimport n6py as n6\n```\n\n## Contribution\n\nSee [Contributing Guide](https://github.com/n6ai/n6py/blob/main/.github/CONTRIBUTING.md).\n\n## License\n\nMIT\n",
    "bugtrack_url": null,
    "license": "MIT",
    "summary": "Python Power Tools for Scientific Computing, Machine Learning and Deep Learning.",
    "version": "0.1.31",
    "split_keywords": [
        "n6py",
        "ai",
        "artificial intelligence",
        "dl",
        "deep learning",
        "ml",
        "machine learning",
        "jupyter",
        "notebook"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "3eaa46d4a76e8bbc00fa37265a92b6e47dad149222d0e13284693428003e3fd0",
                "md5": "d458ab6665d83a058825887194af0a3e",
                "sha256": "7a058dfe84a74f5596bdc22b5335474363ad3a2bfcb6864b00d0bf7618918d60"
            },
            "downloads": -1,
            "filename": "n6py-0.1.31-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "d458ab6665d83a058825887194af0a3e",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.8,<4.0",
            "size": 11053,
            "upload_time": "2023-01-25T22:16:54",
            "upload_time_iso_8601": "2023-01-25T22:16:54.556405Z",
            "url": "https://files.pythonhosted.org/packages/3e/aa/46d4a76e8bbc00fa37265a92b6e47dad149222d0e13284693428003e3fd0/n6py-0.1.31-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "91b2508f86d8b74123703066de18f65ef4d0dafc3528c258ff4dda0257e52336",
                "md5": "eabd29b48dad8963351265da1346a476",
                "sha256": "31968696cbae5709e5e6d557a4422f6f2a65c5dc46fb3964069c639f3060d292"
            },
            "downloads": -1,
            "filename": "n6py-0.1.31.tar.gz",
            "has_sig": false,
            "md5_digest": "eabd29b48dad8963351265da1346a476",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.8,<4.0",
            "size": 9778,
            "upload_time": "2023-01-25T22:16:56",
            "upload_time_iso_8601": "2023-01-25T22:16:56.249100Z",
            "url": "https://files.pythonhosted.org/packages/91/b2/508f86d8b74123703066de18f65ef4d0dafc3528c258ff4dda0257e52336/n6py-0.1.31.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2023-01-25 22:16:56",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "lcname": "n6py"
}
        
Elapsed time: 0.04508s