{ "info": { "author": "Molnar Daniel", "author_email": "molnardaniel0309@gmail.com", "bugtrack_url": null, "classifiers": [], "description": "Feladatom megval\u00f3s\u00edt\u00e1sa sor\u00e1n egy oszt\u00e1lyt alkottam, amiben a benne tal\u00e1lhat\u00f3 f\u00fcggv\u00e9nyeket felhaszn\u00e1lva a felhaszn\u00e1l\u00f3 k\u00f6nnyen tud alkalmazni adatb\u00e1ny\u00e1szati l\u00e9p\u00e9seket a sz\u00e1m\u00e1ra fontos adathalmazon. \u00cdgy a k\u00f6vetkez\u0151kben ezeknek a f\u00fcggv\u00e9nyeknek a l\u00e9nyeges m\u0171k\u00f6d\u00e9s\u00e9t \u00edrom le, hogy b\u00e1rki haszn\u00e1lni tudja ezek ismeret\u00e9ben.", "description_content_type": null, "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/RohenHun/packagem", "keywords": "", "license": "MIT", "maintainer": "", "maintainer_email": "", "name": "myrollingforecastpackagem", "package_url": "https://pypi.org/project/myrollingforecastpackagem/", "platform": "", "project_url": "https://pypi.org/project/myrollingforecastpackagem/", "project_urls": { "Homepage": "https://github.com/RohenHun/packagem" }, "release_url": "https://pypi.org/project/myrollingforecastpackagem/1.0.5/", "requires_dist": null, "requires_python": "", "summary": "A Python project for rolling prediction", "version": "1.0.5" }, "last_serial": 3422584, "releases": { "1.0.0": [ { "comment_text": "", "digests": { "md5": "98eee4c98076bf4f0d6556faa8499563", "sha256": "db3ca66252fb9cd9c86796914c72cefe54a689ede91e4bd70c492911eadeecfc" }, "downloads": -1, "filename": "myrollingforecastpackagem-1.0.0.zip", "has_sig": false, "md5_digest": "98eee4c98076bf4f0d6556faa8499563", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 22271, "upload_time": "2017-12-04T00:06:37", "url": "https://files.pythonhosted.org/packages/a6/36/fbfe9e6fa93cc05e6b3ba78a3d99f954193efc74cbf03b0562bc2622533c/myrollingforecastpackagem-1.0.0.zip" } ], "1.0.1": [ { "comment_text": "", "digests": { "md5": "479015b93ef4c5367c6d038b8b1b2aa5", "sha256": "35c8e6e34ee1cc461446e9ac9127f7389c0e2c8279f73ebcaa238d9b1e8de91c" }, "downloads": -1, "filename": "myrollingforecastpackagem-1.0.1.zip", "has_sig": false, "md5_digest": "479015b93ef4c5367c6d038b8b1b2aa5", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 24099, "upload_time": "2017-12-12T07:19:05", "url": "https://files.pythonhosted.org/packages/2e/3d/0ec03a70bfc225ee0b3f47f12a422ba2c09d56b7472dc280e75a79d93e26/myrollingforecastpackagem-1.0.1.zip" } ], "1.0.2": [ { "comment_text": "", "digests": { "md5": "6f1142bf4beb5d3ebd895e7acd8f2414", "sha256": "9f1e85177f00dba972a972413c7e57747f4949e82e46a9a0abf48f70788e1219" }, "downloads": -1, "filename": "myrollingforecastpackagem-1.0.2.zip", "has_sig": false, "md5_digest": "6f1142bf4beb5d3ebd895e7acd8f2414", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 24151, "upload_time": "2017-12-13T14:14:59", "url": "https://files.pythonhosted.org/packages/dc/a4/cc55ef3cb70feb5a22a574782084b7579d704e7e11f072c4daec4232df24/myrollingforecastpackagem-1.0.2.zip" } ], "1.0.3": [ { "comment_text": "", "digests": { "md5": "89c4bd66d4bc18b7129c7b51cb869d49", "sha256": "eae98bee5bd93e122cbfb90c334f10e4354acf0e3644a2c91d1a27a2681cb177" }, "downloads": -1, "filename": "myrollingforecastpackagem-1.0.3.zip", "has_sig": false, "md5_digest": "89c4bd66d4bc18b7129c7b51cb869d49", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 22217, "upload_time": "2017-12-16T13:09:43", "url": "https://files.pythonhosted.org/packages/2e/37/961141759257d43f0f20e74e044ca7fcf8bf526d557dfde2303e4ba1c9ef/myrollingforecastpackagem-1.0.3.zip" } ], "1.0.5": [ { "comment_text": "", "digests": { "md5": "748a88d12ec810bec68c84afe0cc6518", "sha256": "f842bb5fafc7df0457f72d24e973f9cd028cae5a2ab92b65f207a3bf693cf909" }, "downloads": -1, "filename": "myrollingforecastpackagem-1.0.5.zip", "has_sig": false, "md5_digest": "748a88d12ec810bec68c84afe0cc6518", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 24381, "upload_time": "2017-12-17T04:58:45", "url": "https://files.pythonhosted.org/packages/0b/f2/2ef72cd75a9fd573120980867073f71da6809b90722bccfe18033fc883b6/myrollingforecastpackagem-1.0.5.zip" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "748a88d12ec810bec68c84afe0cc6518", "sha256": "f842bb5fafc7df0457f72d24e973f9cd028cae5a2ab92b65f207a3bf693cf909" }, "downloads": -1, "filename": "myrollingforecastpackagem-1.0.5.zip", "has_sig": false, "md5_digest": "748a88d12ec810bec68c84afe0cc6518", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 24381, "upload_time": "2017-12-17T04:58:45", "url": "https://files.pythonhosted.org/packages/0b/f2/2ef72cd75a9fd573120980867073f71da6809b90722bccfe18033fc883b6/myrollingforecastpackagem-1.0.5.zip" } ] }