{
    "info": {
        "author": "Alex Samuel",
        "author_email": "alex@alexsamuel.net",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.6"
        ],
        "description": "\nA lightweight Python tabular data structure.\n\nCollects parallel numpy arrays into a tabular data structure.  Provides\nsyntactic sugar for column- and row-wise access, and basic grouping and\naggregation.  Avoids copies and type conversions; does not mess around with the\nunderlying numpy arrays.  Much less functionality than Pandas, with many fewer\nlines of code.\n",
        "description_content_type": "",
        "docs_url": null,
        "download_url": "",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "https://github.com/alexhsamuel/ntab",
        "keywords": "data",
        "license": "MIT",
        "maintainer": "",
        "maintainer_email": "",
        "name": "ntab",
        "package_url": "https://pypi.org/project/ntab/",
        "platform": "",
        "project_url": "https://pypi.org/project/ntab/",
        "project_urls": {
            "Homepage": "https://github.com/alexhsamuel/ntab"
        },
        "release_url": "https://pypi.org/project/ntab/0.3.2/",
        "requires_dist": null,
        "requires_python": "",
        "summary": "Simple numerical tables",
        "version": "0.3.2"
    },
    "last_serial": 3856963,
    "releases": {
        "0.2.0": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "6f8a6cc321831b5e729c402bb04d425a",
                    "sha256": "53faf1c0ebb1eea5f37111d6be765c2091e2c8ce4ea636cf3fdad4fd5c0b82c9"
                },
                "downloads": -1,
                "filename": "ntab-0.2.0-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "6f8a6cc321831b5e729c402bb04d425a",
                "packagetype": "bdist_wheel",
                "python_version": "2.7",
                "requires_python": null,
                "size": 23603,
                "upload_time": "2017-09-05T19:47:20",
                "url": "https://files.pythonhosted.org/packages/8a/cb/2c6558a98361c76466355a3316bc32653776a6a7eeeb1f81e08a3b102067/ntab-0.2.0-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "20a53524b7cbe7dfff5814e462728e4a",
                    "sha256": "b4774c87d0b790ba9b487f753f13b3248dcff36fbf57ebbe2ca037825068b4a7"
                },
                "downloads": -1,
                "filename": "ntab-0.2.0.tar.gz",
                "has_sig": false,
                "md5_digest": "20a53524b7cbe7dfff5814e462728e4a",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 18088,
                "upload_time": "2017-09-05T19:47:11",
                "url": "https://files.pythonhosted.org/packages/17/2a/910be5d8352561ab303228278aeaf56c701cca7b8be97aeaf34ef7f60df9/ntab-0.2.0.tar.gz"
            }
        ],
        "0.3.1": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "109492a929a982b1974855b836458785",
                    "sha256": "66e8274bd22d56e3e7cbe8a8e5686964db325c02936d44b5aad148cbe6ae6c3a"
                },
                "downloads": -1,
                "filename": "ntab-0.3.1.tar.gz",
                "has_sig": false,
                "md5_digest": "109492a929a982b1974855b836458785",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 18580,
                "upload_time": "2018-05-08T02:55:55",
                "url": "https://files.pythonhosted.org/packages/0e/62/28320a3a257042d313d7a79bfba2e88ecdbae14addf8c4cde50ee65a2c04/ntab-0.3.1.tar.gz"
            }
        ],
        "0.3.2": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "fe843fcfe34d7397e1814423f13a6aaf",
                    "sha256": "078a4e024974cdc2122364151519dad264354b72b803ad344cb631b258ef6ad7"
                },
                "downloads": -1,
                "filename": "ntab-0.3.2-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "fe843fcfe34d7397e1814423f13a6aaf",
                "packagetype": "bdist_wheel",
                "python_version": "3.6",
                "requires_python": null,
                "size": 22726,
                "upload_time": "2018-05-12T17:01:59",
                "url": "https://files.pythonhosted.org/packages/c4/5d/0b310befb39f5a9db6fa575be1a6702ba4281f12eadd222f3d281889199c/ntab-0.3.2-py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "799c9a43a8f829cf0893e79f5844db3c",
                    "sha256": "91526658f2d39ab00ba1ec456f90bd709a034fdf1b6a06b5c1696b8143e33ad7"
                },
                "downloads": -1,
                "filename": "ntab-0.3.2.tar.gz",
                "has_sig": false,
                "md5_digest": "799c9a43a8f829cf0893e79f5844db3c",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 18572,
                "upload_time": "2018-05-12T17:01:32",
                "url": "https://files.pythonhosted.org/packages/57/f5/b0b514f1aa65145cec4f595c4f1509452ef2840b6d396badd835a7935adf/ntab-0.3.2.tar.gz"
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "fe843fcfe34d7397e1814423f13a6aaf",
                "sha256": "078a4e024974cdc2122364151519dad264354b72b803ad344cb631b258ef6ad7"
            },
            "downloads": -1,
            "filename": "ntab-0.3.2-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "fe843fcfe34d7397e1814423f13a6aaf",
            "packagetype": "bdist_wheel",
            "python_version": "3.6",
            "requires_python": null,
            "size": 22726,
            "upload_time": "2018-05-12T17:01:59",
            "url": "https://files.pythonhosted.org/packages/c4/5d/0b310befb39f5a9db6fa575be1a6702ba4281f12eadd222f3d281889199c/ntab-0.3.2-py3-none-any.whl"
        },
        {
            "comment_text": "",
            "digests": {
                "md5": "799c9a43a8f829cf0893e79f5844db3c",
                "sha256": "91526658f2d39ab00ba1ec456f90bd709a034fdf1b6a06b5c1696b8143e33ad7"
            },
            "downloads": -1,
            "filename": "ntab-0.3.2.tar.gz",
            "has_sig": false,
            "md5_digest": "799c9a43a8f829cf0893e79f5844db3c",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 18572,
            "upload_time": "2018-05-12T17:01:32",
            "url": "https://files.pythonhosted.org/packages/57/f5/b0b514f1aa65145cec4f595c4f1509452ef2840b6d396badd835a7935adf/ntab-0.3.2.tar.gz"
        }
    ]
}