{"id":7049,"date":"2026-08-10T09:40:04","date_gmt":"2026-08-10T09:40:04","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/oreilly-julia-for-data-analysis-video-edition-2024-10\/"},"modified":"2026-08-10T09:40:04","modified_gmt":"2026-08-10T09:40:04","slug":"oreilly-julia-for-data-analysis-video-edition-2024-10","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/oreilly-julia-for-data-analysis-video-edition-2024-10\/","title":{"rendered":"Oreilly \u2013 Julia for Data Analysis, Video Edition 2024-10"},"content":{"rendered":"<div class=\"w-post-elm post_content\">\n<h2 style=\"text-align: left\"><span style=\"vertical-align: inherit\">Description<\/span><\/h2>\n<p style=\"text-align: left\" data-sourcepos=\"6:1-6:196\"><span style=\"vertical-align: inherit\">Julia for Data Analysis course, Video Edition. This comprehensive and hands-on course will help you learn core data analysis skills using the powerful Julia programming language. With engaging hands-on projects, you\u2019ll learn how to analyze time series data, build predictive models, rank popularity, and more. About the technology: Julia is a great programming language for data analysis. It\u2019s easy to learn, fast, and suitable for anything from simple calculations to full data processing pipelines. Whether you\u2019re looking for a better way to analyze your day-to-day business data or you\u2019re just starting your data science journey, learning Julia will be an invaluable skill for you.<\/span><\/p>\n<div class=\"presented-response-container ng-tns-c4130860072-47\" style=\"text-align: left\">\n<div class=\"response-container-content ng-tns-c4130860072-47\">\n<div class=\"response-content ng-tns-c4130860072-47\">\n<div class=\"markdown markdown-main-panel tutor-markdown-rendering response-optimization stronger\">\n<h3 data-sourcepos=\"7:1-7:21\"><span style=\"vertical-align: inherit\">What you will learn<\/span><\/h3>\n<ul data-sourcepos=\"9:1-16:0\">\n<li data-sourcepos=\"9:1-9:42\"><span style=\"vertical-align: inherit\">Read and write data in different formats<\/span><\/li>\n<li data-sourcepos=\"10:1-10:71\"><span style=\"vertical-align: inherit\">Work with tabular data, including subcategorization, grouping, and data transformation<\/span><\/li>\n<li data-sourcepos=\"11:1-11:14\"><span style=\"vertical-align: inherit\">Data visualization<\/span><\/li>\n<li data-sourcepos=\"12:1-12:23\"><span style=\"vertical-align: inherit\">Building prediction models<\/span><\/li>\n<li data-sourcepos=\"13:1-13:29\"><span style=\"vertical-align: inherit\">Create a data processing pipeline<\/span><\/li>\n<li data-sourcepos=\"14:1-14:54\"><span style=\"vertical-align: inherit\">Creating web services to share data analysis results<\/span><\/li>\n<li data-sourcepos=\"15:1-16:0\"><span style=\"vertical-align: inherit\">Writing readable and efficient Julia programs<\/span><\/li>\n<\/ul>\n<h3 data-sourcepos=\"17:1-17:37\"><span style=\"vertical-align: inherit\">Who is this course suitable for?<\/span><\/h3>\n<ul>\n<li data-sourcepos=\"19:1-19:97\"><span style=\"vertical-align: inherit\">This course is suitable for anyone looking to learn a powerful tool for data analysis, including:<\/span><\/li>\n<li data-sourcepos=\"21:1-21:16\"><span style=\"vertical-align: inherit\">Data scientists<\/span><\/li>\n<li data-sourcepos=\"22:1-22:16\"><span style=\"vertical-align: inherit\">Data analysts<\/span><\/li>\n<li data-sourcepos=\"23:1-23:14\"><span style=\"vertical-align: inherit\">Data engineers<\/span><\/li>\n<li data-sourcepos=\"24:1-25:0\"><span style=\"vertical-align: inherit\">Students and researchers in different fields<\/span><\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<h3 style=\"text-align: left\"><span style=\"vertical-align: inherit\">Julia for Data Analysis course specifications, Video Edition<\/span><\/h3>\n<ul style=\"text-align: left\">\n<li><span style=\"vertical-align: inherit\">Publisher: <\/span><a href=\"https:\/\/href.li\/?https:\/\/www.oreilly.com\/library\/view\/julia-for-data\/9781633439368VE\/?_gl=1*tngd0*_ga*MTU4NjE0OTc3OC4xNzEyMjIyNDU3*_ga_092EL089CH*MTczMjAwODY0MS4yNi4xLjE3MzIwMDg2ODcuMTQuMC4w\" 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\/bogumil-kaminski\/\"><span style=\"vertical-align: inherit\">Bogumil Kaminski<\/span><\/a><\/li>\n<li><span style=\"vertical-align: inherit\">Education level: Intermediate<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Training duration: 12 hours 30 minutes<\/span><\/li>\n<\/ul>\n<h3 style=\"text-align: left\"><span style=\"vertical-align: inherit\">Course headings<\/span><\/h3>\n<ul style=\"text-align: left\">\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 1. Introduction<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 1. Key features of Julia from a data scientist\u2019s perspective<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 1. Usage scenarios of tools presented in the book<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 1. Julia\u2019s drawbacks<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 1. What data analysis skills will you learn?<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 1. How can Julia be used for data analysis?<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 1. Summary<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Part 1. Essential Julia skills<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 2. Getting started with Julia<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 2. Defining variables<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 2. Using the most important control-flow constructs<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 2. Defining functions<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 2. Understanding variable scoping rules<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 2. Summary<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 3. Julia\u2019s support for scaling projects<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 3. Using multiple dispatch in Julia<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 3. Working with packages and modules<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 3. Using macros<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 3. Summary<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 4. Working with collections in Julia<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 4. Mapping key-value pairs with dictionaries<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 4. Structuring your data by using named tuples<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 4. Summary<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 5. Advanced topics on handling collections<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 5. Defining methods with parametric types<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 5. Integrating with Python<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 5. Summary<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 6. Working with strings<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 6. Splitting strings<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 6. Using regular expressions to work with strings<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 6. Extracting a subset from a string with indexing<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 6. Analyzing genre frequency in movies.dat<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 6. Introducing symbols<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 6. Using fixed-width string types to improve performance<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 6. Compressing vectors of strings with PooledArrays.jl<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 6. Choosing appropriate storage for collections of strings<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 6. Summary<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 7. Handling time-series data and missing values<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 7. Working with missing data in Julia<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 7. Getting time-series data from the NBP Web API<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 7. Analyzing data fetched from the NBP Web API<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 7. Summary<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Part 2. Toolbox for data analysis<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 8. First steps with data frames<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 8. Loading the data to a data frame<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 8. Getting a column out of a data frame<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 8. Reading and writing data frames using different formats<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 8. Summary<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 9. Getting data from a data frame<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 9. Analyzing the relationship between puzzle difficulty and popularity<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 9. Summary<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 10. Creating data frame objects<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 10. Creating data frames incrementally<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 10. Summary<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 11. Converting and grouping data frames<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 11. Grouping data frame objects<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 11. Summary<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 12. Mutating and transforming data frames<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 12. Computing additional node features<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 12. Using the split-apply-combine approach to predict the developer\u2019s type<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 12. Reviewing data frame mutation operations<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 12. Summary<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 13. Advanced transformations of data frames<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 13. Investigating the violation column<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 13. Preparing data for making predictions<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 13. Building a predictive model of arrest probability<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 13. Reviewing functionalities provided by DataFrames.jl<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 13. Summary<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 14. Creating web services for sharing data analysis results<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 14. Implementing the option pricing simulator<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 14. Creating a web service serving the Asian option valuation<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 14. Using the Asian option pricing web service<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 14. Summary<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Appendix A. First steps with Julia<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Appendix A. Getting help in and about Julia<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Appendix A. Managing packages in Julia<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Appendix A. Reviewing standard ways to work with Julia<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Appendix B. Solutions to exercises<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Appendix C. Julia packages for data science<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Appendix C. Scaling computing with Julia<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Appendix C. Working with databases and data storage formats<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Appendix C. Using data science methods<\/span><\/li>\n<li style=\"text-align: left\"><span style=\"vertical-align: inherit\">Appendix C. Summary<\/span><\/li>\n<\/ul>\n<h3 style=\"text-align: left\"><span style=\"vertical-align: inherit\">Course images<\/span><\/h3>\n<p style=\"text-align: left\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-944279 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2024\/11\/Julia-for-Data-Analysis-Video-Edition-1.jpg\" alt=\"Julia for Data Analysis, Video Edition\" width=\"1248\" height=\"445\"><\/p>\n<h3 style=\"text-align: left\"><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-146270-1\"><video class=\"wp-video-shortcode\" id=\"video-146270-1_html5\" width=\"640\" height=\"360\" preload=\"metadata\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Julia_for_Data_Analysis_Video_Edition_Downloadly.ir.mp4?_=1\" style=\"width: 640px; height: 360px;\"><source type=\"video\/mp4\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Julia_for_Data_Analysis_Video_Edition_Downloadly.ir.mp4?_=1\"><a href=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Julia_for_Data_Analysis_Video_Edition_Downloadly.ir.mp4?nocache=1786108767664\">https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Julia_for_Data_Analysis_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 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\">Subtitle: None<\/span><\/p>\n<p><span style=\"vertical-align: inherit\">Quality: 1080p<\/span><\/p>\n<\/div>\n<h3 style=\"text-align: left\"><span style=\"vertical-align: inherit\">download link<\/span><\/h3>\n<p style=\"text-align: left\"><a href=\"https:\/\/dl2.downloadly.ir\/Files\/Elearning\/Oreilly_Julia_for_Data_Analysis_Video_Edition_2024-10.part1_Downloadly.ir.rar?nocache=1786108766\"><span style=\"vertical-align: inherit\">Download part 1 \u2013 1 GB<\/span><\/a><\/p>\n<p style=\"text-align: left\"><a href=\"https:\/\/dl2.downloadly.ir\/Files\/Elearning\/Oreilly_Julia_for_Data_Analysis_Video_Edition_2024-10.part2_Downloadly.ir.rar?nocache=1786108766\"><span style=\"vertical-align: inherit\">Download part 2 \u2013 0.9 MB<\/span><\/a><\/p>\n<p style=\"text-align: left\"><span style=\"vertical-align: inherit\">File(s) password: www.downloadly.ir<\/span><\/p>\n<h3 style=\"text-align: left\"><span style=\"vertical-align: inherit\">File size<\/span><\/h3>\n<p style=\"text-align: left\"><span style=\"vertical-align: inherit\">1.99 GB<\/span><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Description Julia for Data Analysis course, Video Edition. This comprehensive and hands-on course will help you learn core data analysis skills using the powerf<\/p>\n","protected":false},"author":1,"template":"","dgi_category":[10458],"dgi_tag":[65294,65295,65296,65297,65298,65299],"class_list":["post-7049","digital_item","type-digital_item","status-publish","has-post-thumbnail","hentry","dgi_category-video-tutorials","dgi_tag-bogumil-kaminski","dgi_tag-course-julia-for-data-analysis-video-edition","dgi_tag-download-course-julia-for-data-analysis-video-edition","dgi_tag-download-julia-for-data-analysis-video-edition","dgi_tag-free-download-julia-for-data-analysis-video-edition","dgi_tag-free-julia-for-data-analysis-video-edition"],"_links":{"self":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item\/7049","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\/7049\/revisions"}],"wp:attachment":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/media?parent=7049"}],"wp:term":[{"taxonomy":"dgi_category","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_category?post=7049"},{"taxonomy":"dgi_tag","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_tag?post=7049"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}