{"id":5001,"date":"2026-08-10T09:18:39","date_gmt":"2026-08-10T09:18:39","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/oreilly-pandas-workout-video-edition-2024-6\/"},"modified":"2026-08-10T09:18:39","modified_gmt":"2026-08-10T09:18:39","slug":"oreilly-pandas-workout-video-edition-2024-6","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/oreilly-pandas-workout-video-edition-2024-6\/","title":{"rendered":"Oreilly \u2013 Pandas Workout, Video Edition 2024-6"},"content":{"rendered":"<div class=\"w-post-elm post_content\">\n<h2><span style=\"vertical-align: inherit\">Description<\/span><\/h2>\n<p data-sourcepos=\"7:1-7:200\"><span style=\"vertical-align: inherit\">Pandas Workout Video Edition course. In the video versions, the narrator reads the book while the content, diagrams, code listings, diagrams, and text are displayed on the screen. It\u2019s like an audio book that you can also watch as a video. The Pandas Python library can drastically reduce the time you spend analyzing, cleaning, exploring, and manipulating data. And the only way to master Pandas is to practice, practice and guess what, more practice. In this book, Python guru Rowen Lerner is your personal trainer and guide through more than 200 exercises guaranteed to sharpen your Pandas skills. Pandas Exercises is a thoughtful collection of practical problems, challenges, and mini-projects designed to strengthen your data analysis skills using Python and Pandas. The exercises use real data from a variety of sources: New York\u2019s taxi fleet, Olympic athletes, SAT scores, oil prices, and more. Each can be completed in ten minutes or less. You\u2019ll explore Pandas\u2019 rich functionality for string and date\/time manipulation, complex indexing and visualization, along with practical tips for every step of a data analysis project.<\/span><\/p>\n<h3 data-sourcepos=\"13:1-13:25\"><strong><span style=\"vertical-align: inherit\">What you will learn:<\/span><\/strong><\/h3>\n<ul data-sourcepos=\"15:1-23:0\">\n<li data-sourcepos=\"15:1-15:43\"><span style=\"vertical-align: inherit\">Clean your data for detailed analysis<\/span><\/li>\n<li data-sourcepos=\"16:1-16:59\"><span style=\"vertical-align: inherit\">Work with rows and columns to retrieve and assign data<\/span><\/li>\n<li data-sourcepos=\"17:1-17:55\"><span style=\"vertical-align: inherit\">Work with indexes, including hierarchical indexes<\/span><\/li>\n<li data-sourcepos=\"18:1-18:74\"><span style=\"vertical-align: inherit\">Read and write data in a number of common formats such as CSV and JSON<\/span><\/li>\n<li data-sourcepos=\"19:1-19:55\"><span style=\"vertical-align: inherit\">Process and manipulate text data from within Pandas<\/span><\/li>\n<li data-sourcepos=\"20:1-20:42\"><span style=\"vertical-align: inherit\">Work with dates and times in Pandas<\/span><\/li>\n<li data-sourcepos=\"39:1-39:37\"><span style=\"vertical-align: inherit\">Clean data with minimal manual work<\/span><\/li>\n<li data-sourcepos=\"40:1-40:26\"><span style=\"vertical-align: inherit\">Data recovery and assignment<\/span><\/li>\n<li data-sourcepos=\"41:1-41:22\"><span style=\"vertical-align: inherit\">Text processing and manipulation<\/span><\/li>\n<li data-sourcepos=\"42:1-43:0\"><span style=\"vertical-align: inherit\">Calculations on selected subsets of data<\/span><\/li>\n<li data-sourcepos=\"21:1-21:69\"><span style=\"vertical-align: inherit\">Perform cumulative calculations on selected subsets of data<\/span><\/li>\n<li data-sourcepos=\"22:1-23:0\"><span style=\"vertical-align: inherit\">Produce engaging and useful visualizations that bring your data to life<\/span><\/li>\n<\/ul>\n<h3 data-sourcepos=\"24:1-24:31\"><strong><span style=\"vertical-align: inherit\">This course is suitable for people who:<\/span><\/strong><\/h3>\n<ul data-sourcepos=\"26:1-28:0\">\n<li data-sourcepos=\"26:1-26:26\"><span style=\"vertical-align: inherit\">They are Python programmers<\/span><\/li>\n<li data-sourcepos=\"27:1-28:0\"><span style=\"vertical-align: inherit\">are data analysts<\/span><\/li>\n<\/ul>\n<h3><span style=\"vertical-align: inherit\">Course details<\/span><\/h3>\n<ul>\n<li><span style=\"vertical-align: inherit\">Publisher:&nbsp; <\/span><a href=\"https:\/\/href.li\/?https:\/\/www.oreilly.com\/library\/view\/pandas-workout-video\/9781617299728VE\/\/\" target=\"_blank\"><span style=\"vertical-align: inherit\">Oreilly<\/span><\/a><\/li>\n<li><span style=\"vertical-align: inherit\">Lecturer: <\/span><a href=\"https:\/\/downloadlynet.ir\/tag\/reuven-m-lerner\/\"><span style=\"vertical-align: inherit\">Reuven M. Lerner<\/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: 11 hours and 41 minutes<\/span><\/li>\n<\/ul>\n<h3><span style=\"vertical-align: inherit\">Course headings<\/span><\/h3>\n<ul>\n<li dir=\"ltr\" style=\"text-align: left\">Chapter 1. Series<\/li>\n<li dir=\"ltr\" style=\"text-align: left\">Chapter 2. Data frames<\/li>\n<li dir=\"ltr\" style=\"text-align: left\">Chapter 3. Importing and exporting data<\/li>\n<li dir=\"ltr\" style=\"text-align: left\">Chapter 4. Indexes<\/li>\n<li dir=\"ltr\" style=\"text-align: left\">Chapter 5. Cleaning data<\/li>\n<li dir=\"ltr\" style=\"text-align: left\">Chapter 6. Grouping, joining, and sorting<\/li>\n<li dir=\"ltr\" style=\"text-align: left\">Chapter 7. Advanced grouping, joining, and sorting<\/li>\n<li dir=\"ltr\" style=\"text-align: left\">Chapter 8. Midway project<\/li>\n<li dir=\"ltr\" style=\"text-align: left\">Chapter 9. Strings<\/li>\n<li dir=\"ltr\" style=\"text-align: left\">Chapter 10. Dates and times<\/li>\n<li dir=\"ltr\" style=\"text-align: left\">Chapter 11. Visualization<\/li>\n<li dir=\"ltr\" style=\"text-align: left\">Chapter 12. Performance<\/li>\n<li dir=\"ltr\" style=\"text-align: left\">Chapter 13. Final project<\/li>\n<\/ul>\n<h3><span style=\"vertical-align: inherit\">Course images<\/span><\/h3>\n<h2><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-920626 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2024\/08\/Pandas-Workout-Video-Edition2.jpg\" alt=\"Pandas Workout Video Edition\" width=\"1009\" height=\"348\"><\/h2>\n<h3><span style=\"vertical-align: inherit\">Sample video of the course<\/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-135225-1\"><video class=\"wp-video-shortcode\" id=\"video-135225-1_html5\" width=\"640\" height=\"360\" preload=\"metadata\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Pandas_Workout_Video_Edition_Downloadly.ir.mp4?_=1\" style=\"width: 640px; height: 360px;\"><source type=\"video\/mp4\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Pandas_Workout_Video_Edition_Downloadly.ir.mp4?_=1\"><a href=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Pandas_Workout_Video_Edition_Downloadly.ir.mp4?nocache=1786103034264\">https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Pandas_Workout_Video_Edition_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>\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\">Subtitle: None<\/span><\/p>\n<p><span style=\"vertical-align: inherit\">Quality: 1080p<\/span><\/p>\n<\/div>\n<h3><span style=\"vertical-align: inherit\">download link<\/span><\/h3>\n<p><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Oreilly_Pandas_Workout_Video_Edition_2024-6.part1_Downloadly.ir.rar?nocache=1786103033\"><span style=\"vertical-align: inherit\">Download part 1 \u2013 1 GB<\/span><\/a><\/p>\n<p><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Oreilly_Pandas_Workout_Video_Edition_2024-6.part2_Downloadly.ir.rar?nocache=1786103033\"><span style=\"vertical-align: inherit\">Download part 2 \u2013 71 MB<\/span><\/a><\/p>\n<p><span style=\"vertical-align: inherit\">File(s) password: www.downloadly.ir<\/span><\/p>\n<h3><span style=\"vertical-align: inherit\">File size<\/span><\/h3>\n<p><span style=\"vertical-align: inherit\">1.07 GB<\/span><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Description Pandas Workout Video Edition course. In the video versions, the narrator reads the book while the content, diagrams, code listings, diagrams, and te<\/p>\n","protected":false},"author":1,"template":"","dgi_category":[10458],"dgi_tag":[51116,51117,51118,51119,51120,51121],"class_list":["post-5001","digital_item","type-digital_item","status-publish","has-post-thumbnail","hentry","dgi_category-video-tutorials","dgi_tag-course-pandas-workout-video-edition","dgi_tag-download-course-pandas-workout-video-edition","dgi_tag-download-pandas-workout-video-edition","dgi_tag-free-download-pandas-workout-video-edition","dgi_tag-free-pandas-workout-video-edition","dgi_tag-reuven-m-lerner"],"_links":{"self":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item\/5001","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\/5001\/revisions"}],"wp:attachment":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/media?parent=5001"}],"wp:term":[{"taxonomy":"dgi_category","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_category?post=5001"},{"taxonomy":"dgi_tag","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_tag?post=5001"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}