{"id":6493,"date":"2023-05-12T06:34:08","date_gmt":"2023-05-12T06:34:08","guid":{"rendered":"https:\/\/www.aiproblog.com\/index.php\/2023\/05\/12\/rapids-cudf-cheat-sheet\/"},"modified":"2023-05-12T06:34:08","modified_gmt":"2023-05-12T06:34:08","slug":"rapids-cudf-cheat-sheet","status":"publish","type":"post","link":"https:\/\/www.aiproblog.com\/index.php\/2023\/05\/12\/rapids-cudf-cheat-sheet\/","title":{"rendered":"RAPIDS cuDF Cheat Sheet"},"content":{"rendered":"<p>Author: KDnuggets<\/p>\n<div>RAPIDS cuDF is an open-source Python library for GPU accelerated DataFrames. Grab this handy reference now and accelerate your data science!<\/div>\n<p><a href=\"https:\/\/www.kdnuggets.com\/2023\/05\/cudf-data-science-cheat-sheet.html?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=rapids-cudf-cheat-sheet\">Go to Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Author: KDnuggets RAPIDS cuDF is an open-source Python library for GPU accelerated DataFrames. Grab this handy reference now and accelerate your data science! Go to [&hellip;] <span class=\"read-more-link\"><a class=\"read-more\" href=\"https:\/\/www.aiproblog.com\/index.php\/2023\/05\/12\/rapids-cudf-cheat-sheet\/\">Read More<\/a><\/span><\/p>\n","protected":false},"author":1,"featured_media":469,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categories":[26],"tags":[],"_links":{"self":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts\/6493"}],"collection":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/comments?post=6493"}],"version-history":[{"count":0,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts\/6493\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/media\/474"}],"wp:attachment":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/media?parent=6493"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/categories?post=6493"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/tags?post=6493"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}