{
    "info": {
        "author": "Travis E. Oliphant et al.",
        "author_email": "",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Developers",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved",
            "Operating System :: MacOS",
            "Operating System :: Microsoft :: Windows",
            "Operating System :: POSIX",
            "Operating System :: Unix",
            "Programming Language :: C",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Programming Language :: Python :: Implementation :: CPython",
            "Topic :: Scientific/Engineering",
            "Topic :: Software Development"
        ],
        "description": "It provides:\n\n- a powerful N-dimensional array object\n- sophisticated (broadcasting) functions\n- tools for integrating C/C++ and Fortran code\n- useful linear algebra, Fourier transform, and random number capabilities\n- and much more\n\nBesides its obvious scientific uses, NumPy can also be used as an efficient\nmulti-dimensional container of generic data. Arbitrary data-types can be\ndefined. This allows NumPy to seamlessly and speedily integrate with a wide\nvariety of databases.\n\nAll NumPy wheels distributed on PyPI are BSD licensed.\n\n\n\n",
        "description_content_type": "",
        "docs_url": null,
        "download_url": "https://pypi.python.org/pypi/numpy",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "https://www.numpy.org",
        "keywords": "",
        "license": "BSD",
        "maintainer": "NumPy Developers",
        "maintainer_email": "numpy-discussion@python.org",
        "name": "numpy-aarch64",
        "package_url": "https://pypi.org/project/numpy-aarch64/",
        "platform": "Windows",
        "project_url": "https://pypi.org/project/numpy-aarch64/",
        "project_urls": {
            "Download": "https://pypi.python.org/pypi/numpy",
            "Homepage": "https://www.numpy.org"
        },
        "release_url": "https://pypi.org/project/numpy-aarch64/1.16.4/",
        "requires_dist": null,
        "requires_python": ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*",
        "summary": "NumPy is the fundamental package for array computing with Python.",
        "version": "1.16.4"
    },
    "last_serial": 5455900,
    "releases": {
        "1.16.4": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "a579c384227297f0bb2d959b253f5ec2",
                    "sha256": "c3b8849302558c0cb4b1cb8da5a64ee295b83cc7d985ad4575683a3cf827baed"
                },
                "downloads": -1,
                "filename": "numpy_aarch64-1.16.4-cp36-cp36m-any.whl",
                "has_sig": false,
                "md5_digest": "a579c384227297f0bb2d959b253f5ec2",
                "packagetype": "bdist_wheel",
                "python_version": "cp36",
                "requires_python": ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*",
                "size": 10129782,
                "upload_time": "2019-06-27T08:43:11",
                "url": "https://files.pythonhosted.org/packages/6f/cc/b7976962903fac906230ee9159c784097a397b1b3ee9e6b9d37b339fc81a/numpy_aarch64-1.16.4-cp36-cp36m-any.whl"
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "a579c384227297f0bb2d959b253f5ec2",
                "sha256": "c3b8849302558c0cb4b1cb8da5a64ee295b83cc7d985ad4575683a3cf827baed"
            },
            "downloads": -1,
            "filename": "numpy_aarch64-1.16.4-cp36-cp36m-any.whl",
            "has_sig": false,
            "md5_digest": "a579c384227297f0bb2d959b253f5ec2",
            "packagetype": "bdist_wheel",
            "python_version": "cp36",
            "requires_python": ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*",
            "size": 10129782,
            "upload_time": "2019-06-27T08:43:11",
            "url": "https://files.pythonhosted.org/packages/6f/cc/b7976962903fac906230ee9159c784097a397b1b3ee9e6b9d37b339fc81a/numpy_aarch64-1.16.4-cp36-cp36m-any.whl"
        }
    ]
}