{"id":10237,"date":"2026-08-10T10:16:42","date_gmt":"2026-08-10T10:16:42","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/oreilly-data-visualization-with-matplotlib-and-seaborn-2025-4\/"},"modified":"2026-08-10T10:16:42","modified_gmt":"2026-08-10T10:16:42","slug":"oreilly-data-visualization-with-matplotlib-and-seaborn-2025-4","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/oreilly-data-visualization-with-matplotlib-and-seaborn-2025-4\/","title":{"rendered":"Oreilly \u2013 Data Visualization with Matplotlib and Seaborn 2025-4"},"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=\"9:1-9:955\"><span style=\"vertical-align: inherit\">Data Visualization with Matplotlib and Seaborn. This course teaches you how to create engaging, informative charts using these Python libraries. Designed for data scientists of all levels, this course helps participants extract valuable insights from their data. In this series, experienced data scientist Monica Guimar\u00e3es walks through the process of creating 2D and 3D charts with Matplotlib and teaches how to use Seaborn to design effective visual displays. Participants will develop their skills in transforming data into meaningful images by following practical examples, such as analyzing data from a bike rental company and data from the U.S. Census Bureau. Based on practical projects from Manning Publishing, this course allows learners to learn and apply professional data visualization techniques in a Python environment.<\/span><\/p>\n<h3 dir=\"ltr\" style=\"text-align: left\" data-sourcepos=\"19:1-19:25\"><span style=\"vertical-align: inherit\">What you will learn:<\/span><\/h3>\n<ul dir=\"ltr\" style=\"text-align: left\" data-sourcepos=\"21:1-29:0\">\n<li data-sourcepos=\"21:1-21:73\"><span style=\"vertical-align: inherit\">Create 2D and 3D charts using Matplotlib to visualize data.<\/span><\/li>\n<li data-sourcepos=\"22:1-22:76\"><span style=\"vertical-align: inherit\">Use Python\u2019s Seaborn library to create visually appealing and statistical charts.<\/span><\/li>\n<li data-sourcepos=\"23:1-23:60\"><span style=\"vertical-align: inherit\">Extract important business insights from data through visualization.<\/span><\/li>\n<li data-sourcepos=\"24:1-24:55\"><span style=\"vertical-align: inherit\">Following an expert\u2019s approach to solving data visualization problems.<\/span><\/li>\n<li data-sourcepos=\"25:1-25:87\"><span style=\"vertical-align: inherit\">Develop skills in fast and creative data visualization using the Python data ecosystem.<\/span><\/li>\n<li data-sourcepos=\"26:1-26:57\"><span style=\"vertical-align: inherit\">Understand how to choose the right chart type for different types of data.<\/span><\/li>\n<li data-sourcepos=\"27:1-27:56\"><span style=\"vertical-align: inherit\">Customize charts to improve readability and visual appeal.<\/span><\/li>\n<li data-sourcepos=\"28:1-29:0\"><span style=\"vertical-align: inherit\">Working with real-world data including bike rental data and the US Census.<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\" data-sourcepos=\"30:1-30:32\"><span style=\"vertical-align: inherit\">Who is this course suitable for?<\/span><\/h3>\n<ul dir=\"ltr\" style=\"text-align: left\" data-sourcepos=\"32:1-37:0\">\n<li data-sourcepos=\"32:1-32:95\"><span style=\"vertical-align: inherit\">Beginner and experienced data scientists who want to improve their data visualization skills.<\/span><\/li>\n<li data-sourcepos=\"33:1-33:76\"><span style=\"vertical-align: inherit\">Analysts looking for engaging and effective ways to present their findings.<\/span><\/li>\n<li data-sourcepos=\"34:1-34:82\"><span style=\"vertical-align: inherit\">Developers who want to integrate visualization capabilities into their applications.<\/span><\/li>\n<li data-sourcepos=\"35:1-35:70\"><span style=\"vertical-align: inherit\">Students and researchers who need to visualize their research data.<\/span><\/li>\n<li data-sourcepos=\"36:1-37:0\"><span style=\"vertical-align: inherit\">Anyone interested in learning how to create informative and beautiful visualizations with Python.<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Course details: Data Visualization with Matplotlib and Seaborn<\/span><\/h3>\n<ul dir=\"ltr\" style=\"text-align: left\">\n<li><span style=\"vertical-align: inherit\">Publisher: <\/span><a href=\"https:\/\/href.li\/?https:\/\/www.oreilly.com\/library\/view\/data-visualization-with\/10000MNLW202502\/\" target=\"_blank\" rel=\"noopener\"><span style=\"vertical-align: inherit\">Oreilly<\/span><\/a><\/li>\n<li><span style=\"vertical-align: inherit\">Lecturer: <\/span><a class=\"author-name\" href=\"https:\/\/downloadlynet.ir\/tag\/monica-estela-guimaraes\/\"><span style=\"vertical-align: inherit\">Monica Estela Guimaraes<\/span><\/a><span style=\"vertical-align: inherit\"> ,&nbsp; <\/span><a class=\"author-name\" href=\"https:\/\/downloadlynet.ir\/tag\/nimrita-koul\/\"><span style=\"vertical-align: inherit\">Nimrita Koul<\/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: 3 hours and 1 minute<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Course topics<\/span><\/h3>\n<ul dir=\"ltr\" style=\"text-align: left\">\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">LPWV Project 1 Milestone 1<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">LPWV Project 1 Milestone 2<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">LPWV Project 1 Milestone 3<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">LPWV Project 1 Milestone 4<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">LPWV Project 2 Milestone 1<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">LPWV Project 2 Milestone 2<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">LPWV Project 2 Milestone 3<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">LPWV Project 2 Milestone 4<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">LPWV Project 3 Milestone 1<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">LPWV Project 3 Milestone 2<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">LPWV Project 3 Milestone 3<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">LPWV Project 3 Milestone 4<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Course images<\/span><\/h3>\n<p dir=\"ltr\" style=\"text-align: left\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-983179 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/05\/Data-Visualization-with-Matplotlib-and-Seaborn.png\" alt=\"Data Visualization with Matplotlib and Seaborn\" width=\"1357\" height=\"437\"><\/p>\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-164530-1\"><video class=\"wp-video-shortcode\" id=\"video-164530-1_html5\" width=\"640\" height=\"360\" preload=\"metadata\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Data_Visualization_with_Matplotlib_and_Seaborn_Downloadly.ir.mp4?_=1\" style=\"width: 640px; height: 360px;\"><source type=\"video\/mp4\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Data_Visualization_with_Matplotlib_and_Seaborn_Downloadly.ir.mp4?_=1\"><a href=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Data_Visualization_with_Matplotlib_and_Seaborn_Downloadly.ir.mp4?nocache=1786137519315\">https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Data_Visualization_with_Matplotlib_and_Seaborn_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: None<\/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<h4><strong>Downloadly<\/strong><\/h4>\n<p dir=\"ltr\" style=\"text-align: left\"><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Oreilly_Data_Visualization_with_Matplotlib_and_Seaborn_2025-4_Downloadly.ir.rar?nocache=1786137516\"><span style=\"vertical-align: inherit\">Download Course \u2013 363 MB<\/span><\/a><\/p>\n<h4><strong>Rapidgator<\/strong><\/h4>\n<p dir=\"ltr\" style=\"text-align: left\"><a href=\"https:\/\/rapidgator.net\/file\/e9d7663272cc25bafe1624362a96538f\/Oreilly_Data_Visualization_with_Matplotlib_and_Seaborn_2025-4_Downloadly.ir.rar.html\" target=\"_blank\" rel=\"noopener\"><span style=\"vertical-align: inherit\">Download Course \u2013 363 MB<\/span><\/a><\/p>\n<h5 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">File(s) password: www.downloadly.ir<\/span><\/h5>\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\">363 MB<\/span><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Description Data Visualization with Matplotlib and Seaborn. This course teaches you how to create engaging, informative charts using these Python libraries. Des<\/p>\n","protected":false},"author":1,"template":"","dgi_category":[10458],"dgi_tag":[86877,86878,86879,86880,86881,86882,86876],"class_list":["post-10237","digital_item","type-digital_item","status-publish","has-post-thumbnail","hentry","dgi_category-video-tutorials","dgi_tag-course-data-visualization-with-matplotlib-and-seaborn","dgi_tag-download-course-data-visualization-with-matplotlib-and-seaborn","dgi_tag-download-data-visualization-with-matplotlib-and-seaborn","dgi_tag-free-data-visualization-with-matplotlib-and-seaborn","dgi_tag-free-download-data-visualization-with-matplotlib-and-seaborn","dgi_tag-monica-estela-guimaraes","dgi_tag-nimrita-koul"],"_links":{"self":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item\/10237","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\/10237\/revisions"}],"wp:attachment":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/media?parent=10237"}],"wp:term":[{"taxonomy":"dgi_category","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_category?post=10237"},{"taxonomy":"dgi_tag","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_tag?post=10237"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}