PyGRO


NamePyGRO JSON
Version 0.1.1 PyPI version JSON
download
home_page
SummaryA Python Integrator for General Relativistic Orbits
upload_time2023-05-30 08:32:26
maintainer
docs_urlNone
authorRiccardo Della Monica
requires_python
licenseLICENSE.txt
keywords python first package
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # PyGRO
### A Python integrator for General Relativistic Orbits

[PyGRO](https://github.com/rdellamonica/pigro/tree/master) is a Python library that provides methods and functions to perform the numerical integration of the geodesic equations describing a particle or photon orbit in any metric theory of gravity, given an analytic expression of the metric tensor.

***

## Installation
PyGRO is distributed as a Python package that can be installed through the PyPi package mangaer via:

```bash
pip install pygro
```

or by cloning [PyGRO GitHub repository](https://github.com/rdellamonica/pigro/tree/master).

## Documentation
The complete documentation for PyGRO is available on [docs](https://rdellamonica.github.io/pygro/build/html/index.html) (still work in progress).

## Copyright

Copyright 2020 Riccardo Della Monica

PyGRO is a free software made available under the MIT License. For details see the LICENSE file.

            

Raw data

            {
    "_id": null,
    "home_page": "",
    "name": "PyGRO",
    "maintainer": "",
    "docs_url": null,
    "requires_python": "",
    "maintainer_email": "",
    "keywords": "python,first package",
    "author": "Riccardo Della Monica",
    "author_email": "dellamonicariccardo@gmail.com",
    "download_url": "https://files.pythonhosted.org/packages/75/76/f4ce52278167d14362124b36f32f64b705ba790b81459c0a150ad32c3bed/PyGRO-0.1.1.tar.gz",
    "platform": null,
    "description": "# PyGRO\n### A Python integrator for General Relativistic Orbits\n\n[PyGRO](https://github.com/rdellamonica/pigro/tree/master) is a Python library that provides methods and functions to perform the numerical integration of the geodesic equations describing a particle or photon orbit in any metric theory of gravity, given an analytic expression of the metric tensor.\n\n***\n\n## Installation\nPyGRO is distributed as a Python package that can be installed through the PyPi package mangaer via:\n\n```bash\npip install pygro\n```\n\nor by cloning [PyGRO GitHub repository](https://github.com/rdellamonica/pigro/tree/master).\n\n## Documentation\nThe complete documentation for PyGRO is available on [docs](https://rdellamonica.github.io/pygro/build/html/index.html) (still work in progress).\n\n## Copyright\n\nCopyright 2020 Riccardo Della Monica\n\nPyGRO is a free software made available under the MIT License. For details see the LICENSE file.\n",
    "bugtrack_url": null,
    "license": "LICENSE.txt",
    "summary": "A Python Integrator for General Relativistic Orbits",
    "version": "0.1.1",
    "project_urls": null,
    "split_keywords": [
        "python",
        "first package"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "8ffc61f34b18002aad98ecd36b1b1e85e6fab07d3889150f9a60b01cfd606d7a",
                "md5": "f741c970c99a64af15bd0aa24ff0622d",
                "sha256": "02d5e5da3ab0f1faf95c1dfecf7e242861300c4fb8bc294a1448de91a0c0ce93"
            },
            "downloads": -1,
            "filename": "PyGRO-0.1.1-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "f741c970c99a64af15bd0aa24ff0622d",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 22684,
            "upload_time": "2023-05-30T08:32:24",
            "upload_time_iso_8601": "2023-05-30T08:32:24.934287Z",
            "url": "https://files.pythonhosted.org/packages/8f/fc/61f34b18002aad98ecd36b1b1e85e6fab07d3889150f9a60b01cfd606d7a/PyGRO-0.1.1-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "7576f4ce52278167d14362124b36f32f64b705ba790b81459c0a150ad32c3bed",
                "md5": "0ca06af47db4cfe18be9ef005c9aab43",
                "sha256": "70051e95205a83b5bfe4bd420b8dba5c4a7f8be7c65571758c8fe0c05b3e2842"
            },
            "downloads": -1,
            "filename": "PyGRO-0.1.1.tar.gz",
            "has_sig": false,
            "md5_digest": "0ca06af47db4cfe18be9ef005c9aab43",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 19416,
            "upload_time": "2023-05-30T08:32:26",
            "upload_time_iso_8601": "2023-05-30T08:32:26.640255Z",
            "url": "https://files.pythonhosted.org/packages/75/76/f4ce52278167d14362124b36f32f64b705ba790b81459c0a150ad32c3bed/PyGRO-0.1.1.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2023-05-30 08:32:26",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "lcname": "pygro"
}
        
Elapsed time: 0.07394s