{"id":9779,"date":"2026-01-16T07:02:21","date_gmt":"2026-01-16T07:02:21","guid":{"rendered":"https:\/\/mailitics.com\/index.php\/2026\/01\/16\/the-2026-goal-tracker-how-i-built-a-data-driven-vision-board-using-python-streamlit-and-neon\/"},"modified":"2026-01-16T07:02:21","modified_gmt":"2026-01-16T07:02:21","slug":"the-2026-goal-tracker-how-i-built-a-data-driven-vision-board-using-python-streamlit-and-neon","status":"publish","type":"post","link":"https:\/\/mailitics.com\/index.php\/2026\/01\/16\/the-2026-goal-tracker-how-i-built-a-data-driven-vision-board-using-python-streamlit-and-neon\/","title":{"rendered":"The 2026 Goal Tracker: How I Built a Data-Driven Vision Board Using Python, Streamlit, and Neon"},"content":{"rendered":"<p>    The 2026 Goal Tracker: How I Built a Data-Driven Vision Board Using Python, Streamlit, and Neon<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>Designing a centralized system to track daily habits and long-term goals<\/p>\n<p>The post <a href=\"https:\/\/towardsdatascience.com\/the-2026-goal-tracker-how-i-built-a-data-driven-vision-board-using-python-streamlit-and-neon\/\">The 2026 Goal Tracker: How I Built a Data-Driven Vision Board Using Python, Streamlit, and Neon<\/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    Sabrine Bendimerad<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n<a href=\"https:\/\/towardsdatascience.com\/the-2026-goal-tracker-how-i-built-a-data-driven-vision-board-using-python-streamlit-and-neon\/\">Go to original source<\/a><br \/>\n \t<BR><br \/>\n <BR><\/BR><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The 2026 Goal Tracker: How I Built a Data-Driven Vision Board Using Python, Streamlit, and Neon Designing a centralized system to track daily habits and long-term goals The post The 2026 Goal Tracker: How I Built a Data-Driven Vision Board Using Python, Streamlit, and Neon appeared first on Towards Data Science. Sabrine Bendimerad Go to [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[62,83,82,397,4615,1727,157],"tags":[84,1914],"class_list":["post-9779","post","type-post","status-publish","format-standard","hentry","category-aimldsaimlds","category-data-science","category-data-visualization","category-productivity","category-project-goals","category-project-management","category-python","tag-data","tag-goal"],"_links":{"self":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/9779"}],"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=9779"}],"version-history":[{"count":0,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/9779\/revisions"}],"wp:attachment":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/media?parent=9779"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/categories?post=9779"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/tags?post=9779"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}