{"id":4682,"date":"2025-06-18T07:02:45","date_gmt":"2025-06-18T07:02:45","guid":{"rendered":"https:\/\/mailitics.com\/index.php\/2025\/06\/18\/abstract-classes-a-software-engineering-concept-data-scientists-must-know-to-succeed\/"},"modified":"2025-06-18T07:02:45","modified_gmt":"2025-06-18T07:02:45","slug":"abstract-classes-a-software-engineering-concept-data-scientists-must-know-to-succeed","status":"publish","type":"post","link":"https:\/\/mailitics.com\/index.php\/2025\/06\/18\/abstract-classes-a-software-engineering-concept-data-scientists-must-know-to-succeed\/","title":{"rendered":"Abstract Classes: A Software Engineering Concept Data Scientists Must Know To Succeed"},"content":{"rendered":"<p>    Abstract Classes: A Software Engineering Concept Data Scientists Must Know To Succeed<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n    <!-- no image --><br \/>\n \t<BR><br \/>\n<BR><\/BR><\/p>\n<div>\n<p>Simple concepts that differentiate a professional from amateurs.<\/p>\n<p>The post <a href=\"https:\/\/towardsdatascience.com\/abstract-classes-a-software-engineering-concept-data-scientists-must-know-to-succeed\/\">Abstract Classes: A Software Engineering Concept Data Scientists Must Know To Succeed<\/a> appeared first on <a href=\"https:\/\/towardsdatascience.com\/\">Towards Data Science<\/a>.<\/p>\n<\/div>\n<p> \t<BR><br \/>\n <BR><\/BR><br \/>\n    Benjamin Lee<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n<a href=\"https:\/\/towardsdatascience.com\/abstract-classes-a-software-engineering-concept-data-scientists-must-know-to-succeed\/\">Go to original source<\/a><br \/>\n \t<BR><br \/>\n <BR><\/BR><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Abstract Classes: A Software Engineering Concept Data Scientists Must Know To Succeed Simple concepts that differentiate a professional from amateurs. The post Abstract Classes: A Software Engineering Concept Data Scientists Must Know To Succeed appeared first on Towards Data Science. Benjamin Lee Go to original source<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[62,365,2991,83,160,157],"tags":[2992,2083,84],"class_list":["post-4682","post","type-post","status-publish","format-standard","hentry","category-aimldsaimlds","category-coding","category-coding-best-practices","category-data-science","category-programming","category-python","tag-abstract","tag-classes","tag-data"],"_links":{"self":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/4682"}],"collection":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/comments?post=4682"}],"version-history":[{"count":0,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/4682\/revisions"}],"wp:attachment":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/media?parent=4682"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/categories?post=4682"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/tags?post=4682"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}