{ "info": { "author": "Vijay Lingam", "author_email": "jvlingam@gmail.com", "bugtrack_url": null, "classifiers": [], "description": "-\tThis module accepts only select statement in SQL and accepts only one condition in this version.\r\n-\tMultiple columns select, single column select and all columns select options are available.\r\n-\tAlso note, LIKE parameters, GroupBy option doesn't work in this version.\r\n\r\n\r\n", "description_content_type": null, "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/jvlingam/SQLpandas", "keywords": "", "license": "VijayLingam", "maintainer": "", "maintainer_email": "", "name": "sqlpandas", "package_url": "https://pypi.org/project/sqlpandas/", "platform": "All", "project_url": "https://pypi.org/project/sqlpandas/", "project_urls": { "Homepage": "https://github.com/jvlingam/SQLpandas" }, "release_url": "https://pypi.org/project/sqlpandas/0.1/", "requires_dist": null, "requires_python": "", "summary": "Native SQL Wrapper for Pandas", "version": "0.1" }, "last_serial": 3649936, "releases": { "0.1": [ { "comment_text": "", "digests": { "md5": "52efa49292ae55fc2ae9be9e58bd8c4e", "sha256": "f83843129c08534b621852712237e44f60b302a7da559d980f69a97f2826286c" }, "downloads": -1, "filename": "sqlpandas-0.1-py2.py3-none-any.whl", "has_sig": false, "md5_digest": "52efa49292ae55fc2ae9be9e58bd8c4e", "packagetype": "bdist_wheel", "python_version": "py2.py3", "requires_python": null, "size": 3464, "upload_time": "2018-03-08T04:54:34", "url": "https://files.pythonhosted.org/packages/aa/4d/f1b7638eedb98cee76d15f9e2a428d571200fb766c9805e767bcd98c19ae/sqlpandas-0.1-py2.py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "cac3c85c2b931e13c14843d89c5269f3", "sha256": "8634fb83b6a06c7f3c884b684f9edeb20a8998f6b0473bc9b6eaa9f5b16915d8" }, "downloads": -1, "filename": "sqlpandas-0.1.tar.gz", "has_sig": false, "md5_digest": "cac3c85c2b931e13c14843d89c5269f3", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 9864, "upload_time": "2018-03-08T04:54:36", "url": "https://files.pythonhosted.org/packages/48/b5/9280c940939a1aa9ca397801f2b187b50f9ccdc0528995c3d0f5f986cf3a/sqlpandas-0.1.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "52efa49292ae55fc2ae9be9e58bd8c4e", "sha256": "f83843129c08534b621852712237e44f60b302a7da559d980f69a97f2826286c" }, "downloads": -1, "filename": "sqlpandas-0.1-py2.py3-none-any.whl", "has_sig": false, "md5_digest": "52efa49292ae55fc2ae9be9e58bd8c4e", "packagetype": "bdist_wheel", "python_version": "py2.py3", "requires_python": null, "size": 3464, "upload_time": "2018-03-08T04:54:34", "url": "https://files.pythonhosted.org/packages/aa/4d/f1b7638eedb98cee76d15f9e2a428d571200fb766c9805e767bcd98c19ae/sqlpandas-0.1-py2.py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "cac3c85c2b931e13c14843d89c5269f3", "sha256": "8634fb83b6a06c7f3c884b684f9edeb20a8998f6b0473bc9b6eaa9f5b16915d8" }, "downloads": -1, "filename": "sqlpandas-0.1.tar.gz", "has_sig": false, "md5_digest": "cac3c85c2b931e13c14843d89c5269f3", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 9864, "upload_time": "2018-03-08T04:54:36", "url": "https://files.pythonhosted.org/packages/48/b5/9280c940939a1aa9ca397801f2b187b50f9ccdc0528995c3d0f5f986cf3a/sqlpandas-0.1.tar.gz" } ] }