{"id":10777,"date":"2026-08-10T10:23:28","date_gmt":"2026-08-10T10:23:28","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-streamlit-deploy-your-data-ml-app-on-the-web-with-python-2023-1\/"},"modified":"2026-08-10T10:23:28","modified_gmt":"2026-08-10T10:23:28","slug":"udemy-streamlit-deploy-your-data-ml-app-on-the-web-with-python-2023-1","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-streamlit-deploy-your-data-ml-app-on-the-web-with-python-2023-1\/","title":{"rendered":"Udemy \u2013 Streamlit : Deploy your Data &#038; ML app on the web with Python 2023-1"},"content":{"rendered":"<div class=\"w-post-elm post_content\">\n<h2 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Description<\/span><\/h2>\n<p dir=\"ltr\" style=\"text-align: left\" data-sourcepos=\"22:1-22:71\"><span style=\"vertical-align: inherit\">Streamlit: Deploy your Data &amp; ML app on the web with Python. This course teaches participants how to turn their machine learning models and data applications into interactive web applications using Python and the Streamlit library. This course is designed to solve a common challenge for data scientists: turning models developed in environments like Jupyter Notebooks into usable, shareable tools on the web. Streamlit allows you to build a variety of applications, such as image classification, tweet sentiment analysis, and enterprise dashboards, without requiring any web or cloud development knowledge. The instructor designed this course after successfully developing a train booking web application with a large user base. The course consists of two parts: Part One covers the basics of Streamlit, from connecting to a database to deploying to the cloud, and Part Two covers developing an S&amp;P 500 stock analysis application by receiving data from an API. This course is suitable for those who want to turn their data projects into practical applications.<\/span><\/p>\n<h3 dir=\"ltr\" style=\"text-align: left\" data-sourcepos=\"26:1-26:24\"><span style=\"vertical-align: inherit\">What you will learn<\/span><\/h3>\n<ul dir=\"ltr\" style=\"text-align: left\" data-sourcepos=\"28:1-29:22\">\n<li data-sourcepos=\"28:1-28:32\"><span style=\"vertical-align: inherit\">How to use Streamlit.<\/span><\/li>\n<li data-sourcepos=\"29:1-29:22\"><span style=\"vertical-align: inherit\">Develop and implement a data application for sharing machine learning models on the web.<\/span><\/li>\n<li data-sourcepos=\"30:1-30:62\"><span style=\"vertical-align: inherit\">Extract data in real time with an API (Yahoo Finance).<\/span><\/li>\n<li data-sourcepos=\"31:1-31:41\"><span style=\"vertical-align: inherit\">Using the cloud with Streamlit Cloud.<\/span><\/li>\n<li data-sourcepos=\"32:1-32:42\"><span style=\"vertical-align: inherit\">Creating an attractive user interface (UI\/UX).<\/span><\/li>\n<li data-sourcepos=\"33:1-33:45\"><span style=\"vertical-align: inherit\">Structuring a Python program for web development.<\/span><\/li>\n<li data-sourcepos=\"34:1-34:70\"><span style=\"vertical-align: inherit\">How to optimize a Streamlit application (Cache \/ Session \/ Form\u2026).<\/span><\/li>\n<li data-sourcepos=\"35:1-35:48\"><span style=\"vertical-align: inherit\">Using Git and Github for code versioning.<\/span><\/li>\n<li data-sourcepos=\"36:1-36:49\"><span style=\"vertical-align: inherit\">Overcome the limitations of Jupyter Notebook and bring your data projects to life.<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\" data-sourcepos=\"40:1-40:30\"><span style=\"vertical-align: inherit\">This course is suitable for people who:<\/span><\/h3>\n<ul dir=\"ltr\" style=\"text-align: left\" data-sourcepos=\"42:1-42:39\">\n<li data-sourcepos=\"42:1-42:39\"><span style=\"vertical-align: inherit\">People who are passionate about data and Python: but are frustrated that they can never share their machine learning models with others.<\/span><\/li>\n<li data-sourcepos=\"43:1-43:7\"><span style=\"vertical-align: inherit\">Data scientists in companies: who want to share their machine learning work or dashboards internally with their colleagues.<\/span><\/li>\n<li data-sourcepos=\"44:1-44:96\"><span style=\"vertical-align: inherit\">Someone who has an idea for a web application project: and wants to develop an MVP (Minimum Viable Product) in a few hours.<\/span><\/li>\n<li data-sourcepos=\"45:1-46:0\"><span style=\"vertical-align: inherit\">All data scientists who start out by producing data applications.<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Streamlit course specifications: Deploy your Data &amp; ML app on the web with Python<\/span><\/h3>\n<ul dir=\"ltr\" style=\"text-align: left\">\n<li><span style=\"vertical-align: inherit\">Publisher:&nbsp; <\/span><a href=\"https:\/\/href.li\/?https:\/\/www.udemy.com\/course\/streamlit-deploy-your-data-ml-app-on-the-web-with-python\/?couponCode=LEARNNOWPLANS\" target=\"_blank\" rel=\"noopener\"><span style=\"vertical-align: inherit\">Udemy<\/span><\/a><\/li>\n<li><span style=\"vertical-align: inherit\">Lecturer:&nbsp; <\/span><a class=\"ud-btn ud-btn-medium ud-btn-link ud-heading-sm ud-text-sm ud-instructor-links\" href=\"https:\/\/downloadlynet.ir\/tag\/pierre-louis-danieau\/\" data-position=\"1\"><span class=\"ud-btn-label\"><span style=\"vertical-align: inherit\">Pierre-Louis Danieau<\/span><\/span><\/a><\/li>\n<li><span style=\"vertical-align: inherit\">Training level: Beginner to advanced<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Training duration: 4 hours and 34 minutes<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Number of lessons: 26<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Course headings<\/span><\/h3>\n<h3 dir=\"ltr\" style=\"text-align: left\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-988989 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/06\/Streamlit-Deploy-your-Data-ML-app-on-the-web-with-Python-1.png\" alt=\"Streamlit: Deploy your Data &amp; ML app on the web with Python\" width=\"880\" height=\"581\"><\/h3>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Prerequisites for Streamlit: Deploy your Data &amp; ML app on the web with Python<\/span><\/h3>\n<ul dir=\"ltr\" style=\"text-align: left\">\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">A basic knowledge of the Python programming language is required to better understand the concepts covered in this training. Simple knowledge is sufficient.<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">No web development and\/or data engineering skills are required. All concepts are covered from the beginning.<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">No experience in the cloud is required. You will learn everything you need to know for the deployment\/production part.<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Course images<\/span><\/h3>\n<h3 dir=\"ltr\" style=\"text-align: left\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-988990 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/06\/Streamlit-Deploy-your-Data-ML-app-on-the-web-with-Python.png\" alt=\"Streamlit: Deploy your Data &amp; ML app on the web with Python\" width=\"856\" height=\"397\"><\/h3>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Sample course video<\/span><\/h3>\n<div style=\"width: 640px;\" class=\"wp-video\"><span class=\"mejs-offscreen\">Video Player<\/span><\/p>\n<div id=\"mep_0\" class=\"mejs-container mejs-container-keyboard-inactive wp-video-shortcode mejs-video\" tabindex=\"0\" role=\"application\" aria-label=\"Video Player\" style=\"width: 640px; height: 360px; min-width: 217px;\">\n<div class=\"mejs-inner\">\n<div class=\"mejs-mediaelement\"><mediaelementwrapper id=\"video-167869-1\"><video class=\"wp-video-shortcode\" id=\"video-167869-1_html5\" width=\"640\" height=\"360\" preload=\"metadata\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Streamlit_Deploy_your_Data_And_ML_app_on_the_web_with_Python_Downloadly.ir.mp4?_=1\" style=\"width: 640px; height: 360px;\"><source type=\"video\/mp4\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Streamlit_Deploy_your_Data_And_ML_app_on_the_web_with_Python_Downloadly.ir.mp4?_=1\"><a href=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Streamlit_Deploy_your_Data_And_ML_app_on_the_web_with_Python_Downloadly.ir.mp4?nocache=1786139021486\">https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Streamlit_Deploy_your_Data_And_ML_app_on_the_web_with_Python_Downloadly.ir.mp4<\/a><\/video><\/mediaelementwrapper><\/div>\n<div class=\"mejs-layers\">\n<div class=\"mejs-poster mejs-layer\" style=\"display: none; width: 100%; height: 100%;\"><\/div>\n<div class=\"mejs-overlay mejs-layer\" style=\"display: none; width: 100%; height: 100%;\">\n<div class=\"mejs-overlay-loading\"><span class=\"mejs-overlay-loading-bg-img\"><\/span><\/div>\n<\/div>\n<div class=\"mejs-overlay mejs-layer\" style=\"display: none; width: 100%; height: 100%;\">\n<div class=\"mejs-overlay-error\"><\/div>\n<\/div>\n<div class=\"mejs-overlay mejs-layer mejs-overlay-play\" style=\"width: 100%; height: 100%;\">\n<div class=\"mejs-overlay-button\" role=\"button\" tabindex=\"0\" aria-label=\"Play\" aria-pressed=\"false\"><\/div>\n<\/div>\n<\/div>\n<div class=\"mejs-controls\">\n<div class=\"mejs-button mejs-playpause-button mejs-play\"><button type=\"button\" aria-controls=\"mep_0\" title=\"Play\" aria-label=\"Play\" tabindex=\"0\"><\/button><\/div>\n<div class=\"mejs-time mejs-currenttime-container\" role=\"timer\" aria-live=\"off\"><span class=\"mejs-currenttime\">00:00<\/span><\/div>\n<div class=\"mejs-time-rail\"><span class=\"mejs-time-total mejs-time-slider\" role=\"slider\" tabindex=\"0\" aria-label=\"Time Slider\" aria-valuemin=\"0\" aria-valuemax=\"0\" aria-valuenow=\"0\" aria-valuetext=\"00:00\"><span class=\"mejs-time-buffering\" style=\"display: none;\"><\/span><span class=\"mejs-time-loaded\"><\/span><span class=\"mejs-time-current\"><\/span><span class=\"mejs-time-hovered no-hover\"><\/span><span class=\"mejs-time-handle\"><span class=\"mejs-time-handle-content\"><\/span><\/span><span class=\"mejs-time-float\"><span class=\"mejs-time-float-current\">00:00<\/span><span class=\"mejs-time-float-corner\"><\/span><\/span><\/span><\/div>\n<div class=\"mejs-time mejs-duration-container\"><span class=\"mejs-duration\">00:00<\/span><\/div>\n<div class=\"mejs-button mejs-volume-button mejs-mute\"><button type=\"button\" aria-controls=\"mep_0\" title=\"Mute\" aria-label=\"Mute\" tabindex=\"0\"><\/button><a href=\"javascript:void(0);\" class=\"mejs-volume-slider\" aria-label=\"Volume Slider\" aria-valuemin=\"0\" aria-valuemax=\"100\" role=\"slider\" aria-orientation=\"vertical\"><span class=\"mejs-offscreen\">Use Up\/Down Arrow keys to increase or decrease volume.<\/span><\/p>\n<div class=\"mejs-volume-total\">\n<div class=\"mejs-volume-current\" style=\"bottom: 0px; height: 100%;\"><\/div>\n<div class=\"mejs-volume-handle\" style=\"bottom: 100%; margin-bottom: -3px;\"><\/div>\n<\/div>\n<p><\/a><\/div>\n<div class=\"mejs-button mejs-fullscreen-button\"><button type=\"button\" aria-controls=\"mep_0\" title=\"Fullscreen\" aria-label=\"Fullscreen\" tabindex=\"0\"><\/button><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div dir=\"ltr\" style=\"text-align: left\">\n<h3><span style=\"vertical-align: inherit\">Installation Guide<\/span><\/h3>\n<p><span style=\"vertical-align: inherit\">After Extract, view with your favorite player.<\/span><\/p>\n<p><span style=\"vertical-align: inherit\">Subtitles: English<\/span><\/p>\n<p><span style=\"vertical-align: inherit\">Quality: 720p<\/span><\/p>\n<\/div>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Download link<\/span><\/h3>\n<p dir=\"ltr\" style=\"text-align: left\"><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Udemy_Streamlit_Deploy_your_Data_And_ML_app_on_the_web_with_Python_2023-1.part1_Downloadly.ir.rar?nocache=1786139020\"><span style=\"vertical-align: inherit\">Download Part 1 \u2013 1 GB<\/span><\/a><\/p>\n<p dir=\"ltr\" style=\"text-align: left\"><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Udemy_Streamlit_Deploy_your_Data_And_ML_app_on_the_web_with_Python_2023-1.part2_Downloadly.ir.rar?nocache=1786139020\"><span style=\"vertical-align: inherit\">Download Part 2 \u2013 852 MB<\/span><\/a><\/p>\n<p dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">File(s) password: www.downloadly.ir<\/span><\/p>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">File size<\/span><\/h3>\n<p dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">1.8 GB<\/span><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Description Streamlit: Deploy your Data &amp; ML app on the web with Python. This course teaches participants how to turn their machine learning models and data<\/p>\n","protected":false},"author":1,"template":"","dgi_category":[10458],"dgi_tag":[90584,90585,90586,90587,90588,90583],"class_list":["post-10777","digital_item","type-digital_item","status-publish","has-post-thumbnail","hentry","dgi_category-video-tutorials","dgi_tag-course-streamlit-deploy-your-data-ml-app-on-the-web-with-python","dgi_tag-download-course-streamlit-deploy-your-data-ml-app-on-the-web-with-python","dgi_tag-download-streamlit-deploy-your-data-ml-app-on-the-web-with-python","dgi_tag-free-download-streamlit-deploy-your-data-ml-app-on-the-web-with-python","dgi_tag-free-streamlit-deploy-your-data-ml-app-on-the-web-with-python","dgi_tag-pierre-louis-danieau"],"_links":{"self":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item\/10777","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item"}],"about":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/types\/digital_item"}],"author":[{"embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"version-history":[{"count":0,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item\/10777\/revisions"}],"wp:attachment":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/media?parent=10777"}],"wp:term":[{"taxonomy":"dgi_category","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_category?post=10777"},{"taxonomy":"dgi_tag","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_tag?post=10777"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}