{"id":11887,"date":"2021-06-01T16:20:03","date_gmt":"2021-06-01T14:20:03","guid":{"rendered":"http:\/\/flaven.fr\/?post_type=bf_videos_manager&#038;p=11887"},"modified":"2021-12-12T10:20:59","modified_gmt":"2021-12-12T09:20:59","slug":"part-2-exploring-streamlit-or-dash-to-build-specific-interactive-web-applications","status":"publish","type":"bf_videos_manager","link":"https:\/\/flaven.fr\/videos\/part-2-exploring-streamlit-or-dash-to-build-specific-interactive-web-applications\/","title":{"rendered":"Part 2 &#8211; Exploring Streamlit or Dash to build specific Interactive Web Applications"},"content":{"rendered":"<p>Part 2, This video is part of the post &#8220;Exploring Streamlit or Dash to build specific Interactive Web Applications&#8221;. It is dedicated to Dash. I show how to make very simple examples working and some more advanced one, especially projects dealing with NLP.<\/p>\n<p><b>About Dash <\/b><br \/>\nDash is a productive Python framework for building web analytic applications. Written on top of Flask, Plotly.js, and React.js, Dash is ideal for building data visualization apps with highly custom user interfaces in pure Python. It&#8217;s particularly suited for anyone who works with data in Python. More on <a href=\"https:\/\/dash.plotly.com\" target=\"_blank\" rel=\"noopener\">https:\/\/dash.plotly.com<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Part 2, This video is part of the post &#8220;Exploring Streamlit or Dash to build specific Interactive Web Applications&#8221;. It is dedicated to Dash. I&hellip; <\/p>\n<p class=\"text-center\"><a href=\"https:\/\/flaven.fr\/videos\/part-2-exploring-streamlit-or-dash-to-build-specific-interactive-web-applications\/\" class=\"more-link\">Continue reading &rarr; <span class=\"screen-reader-text\">Part 2 &#8211; Exploring Streamlit or Dash to build specific Interactive Web Applications<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":11806,"comment_status":"open","ping_status":"closed","template":"","bf_videos_manager_tag":[2752,2692,2803,2688,2806,2786,2807],"bf_videos_manager_cat":[2729,2682,2678,2721,2679,2680],"class_list":["post-11887","bf_videos_manager","type-bf_videos_manager","status-publish","has-post-thumbnail","hentry","bf_videos_manager_tag-development","bf_videos_manager_tag-editorial-features","bf_videos_manager_tag-natural-language-processing","bf_videos_manager_tag-spacy","bf_videos_manager_tag-streamlit","bf_videos_manager_tag-toolbox","bf_videos_manager_tag-visualization","bf_videos_manager_cat-agile","bf_videos_manager_cat-experiences","bf_videos_manager_cat-python","bf_videos_manager_cat-training","bf_videos_manager_cat-tutorials","bf_videos_manager_cat-videos"],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/flaven.fr\/happy-api\/wp\/v2\/bf_videos_manager\/11887","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/flaven.fr\/happy-api\/wp\/v2\/bf_videos_manager"}],"about":[{"href":"https:\/\/flaven.fr\/happy-api\/wp\/v2\/types\/bf_videos_manager"}],"author":[{"embeddable":true,"href":"https:\/\/flaven.fr\/happy-api\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/flaven.fr\/happy-api\/wp\/v2\/comments?post=11887"}],"version-history":[{"count":5,"href":"https:\/\/flaven.fr\/happy-api\/wp\/v2\/bf_videos_manager\/11887\/revisions"}],"predecessor-version":[{"id":11902,"href":"https:\/\/flaven.fr\/happy-api\/wp\/v2\/bf_videos_manager\/11887\/revisions\/11902"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/flaven.fr\/happy-api\/wp\/v2\/media\/11806"}],"wp:attachment":[{"href":"https:\/\/flaven.fr\/happy-api\/wp\/v2\/media?parent=11887"}],"wp:term":[{"taxonomy":"bf_videos_manager_tag","embeddable":true,"href":"https:\/\/flaven.fr\/happy-api\/wp\/v2\/bf_videos_manager_tag?post=11887"},{"taxonomy":"bf_videos_manager_cat","embeddable":true,"href":"https:\/\/flaven.fr\/happy-api\/wp\/v2\/bf_videos_manager_cat?post=11887"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}