{"id":52,"date":"2020-08-17T07:42:50","date_gmt":"2020-08-17T07:42:50","guid":{"rendered":"http:\/\/localhost\/dwbapps\/?page_id=20"},"modified":"2021-01-15T05:19:38","modified_gmt":"2021-01-15T05:19:38","slug":"data-pup","status":"publish","type":"page","link":"https:\/\/thedatapup.com\/home\/index.php\/data-pup\/","title":{"rendered":"Data Pup"},"content":{"rendered":"\n<p>Data Pup aids Data Scientists in inspecting Python generated Pandas DataFrames using SQL, in a user friendly interface.  It provides a GUI to common  exploratory data analysis features of the Python Pandas library.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" width=\"876\" height=\"538\" src=\"http:\/\/thedatapup.com\/home\/wp-content\/uploads\/2020\/10\/pcss1.png\" alt=\"Data Pup Screenshot\" class=\"wp-image-384\" srcset=\"https:\/\/thedatapup.com\/home\/wp-content\/uploads\/2020\/10\/pcss1.png 876w, https:\/\/thedatapup.com\/home\/wp-content\/uploads\/2020\/10\/pcss1-300x184.png 300w, https:\/\/thedatapup.com\/home\/wp-content\/uploads\/2020\/10\/pcss1-768x472.png 768w\" sizes=\"(max-width: 767px) 89vw, (max-width: 1000px) 54vw, (max-width: 1071px) 543px, 580px\" \/><\/figure>\n\n\n\n<p>Data Pup was also extended to be a general purpose SQL query tool, with Oracle, MySQL, PostgreSQL and SQLite support.   <\/p>\n\n\n\n<p>Data Pup is free for personal use.<\/p>\n\n\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><span style=\"color: #3366ff;\"><a style=\"color: #3366ff;\" href=\"http:\/\/thedatapup.com\/home\/index.php\/data-pup\/download\/\">Download Data Pup<\/a><\/span><\/li>\n<li><span style=\"color: #3366ff;\"><a style=\"color: #3366ff;\" href=\"http:\/\/thedatapup.com\/home\/index.php\/data-pup\/screenshots\/\">Data Pup Data Analysis Guide<\/a><\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Data Pup aids Data Scientists in inspecting Python generated Pandas DataFrames using SQL, in a user friendly interface. It provides a GUI to common exploratory data analysis features of the Python Pandas library. Data Pup was also extended to be a general purpose SQL query tool, with Oracle, MySQL, PostgreSQL and SQLite support. Data Pup &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/thedatapup.com\/home\/index.php\/data-pup\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Data Pup&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/thedatapup.com\/home\/index.php\/wp-json\/wp\/v2\/pages\/52"}],"collection":[{"href":"https:\/\/thedatapup.com\/home\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/thedatapup.com\/home\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/thedatapup.com\/home\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/thedatapup.com\/home\/index.php\/wp-json\/wp\/v2\/comments?post=52"}],"version-history":[{"count":3,"href":"https:\/\/thedatapup.com\/home\/index.php\/wp-json\/wp\/v2\/pages\/52\/revisions"}],"predecessor-version":[{"id":516,"href":"https:\/\/thedatapup.com\/home\/index.php\/wp-json\/wp\/v2\/pages\/52\/revisions\/516"}],"wp:attachment":[{"href":"https:\/\/thedatapup.com\/home\/index.php\/wp-json\/wp\/v2\/media?parent=52"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}