{"id":8505,"date":"2026-08-10T09:56:48","date_gmt":"2026-08-10T09:56:48","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/oreilly-data-analysis-with-python-and-pyspark-2022-3\/"},"modified":"2026-08-10T09:56:48","modified_gmt":"2026-08-10T09:56:48","slug":"oreilly-data-analysis-with-python-and-pyspark-2022-3","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/oreilly-data-analysis-with-python-and-pyspark-2022-3\/","title":{"rendered":"Oreilly \u2013 Data Analysis with Python and PySpark 2022-3"},"content":{"rendered":"<div class=\"w-post-elm post_content\">\n<h2><span style=\"vertical-align: inherit\">Description<\/span><\/h2>\n<p data-sourcepos=\"7:1-7:281\"><span style=\"vertical-align: inherit\">Data Analysis with Python and PySpark Course. This course introduces you to the exciting world of big data analysis. Using PySpark, the most powerful big data processing engine, and Python, a popular and versatile language, you will be able to perform complex analyses on big data and extract valuable results.<\/span><\/p>\n<h3 data-sourcepos=\"9:1-9:25\"><span style=\"vertical-align: inherit\">What you will learn:<\/span><\/h3>\n<ul data-sourcepos=\"11:1-19:0\">\n<li data-sourcepos=\"11:1-11:121\"><span style=\"vertical-align: inherit\">Big Data Management: Learn efficient methods for managing and organizing data that is distributed across multiple machines.<\/span><\/li>\n<li data-sourcepos=\"12:1-12:121\"><span style=\"vertical-align: inherit\">Scalability of data analysis applications: Ensuring the correct and efficient execution of data analysis applications on very large data sets.<\/span><\/li>\n<li data-sourcepos=\"13:1-13:95\"><span style=\"vertical-align: inherit\">Reading and Writing Data: Mastering methods for reading and writing data from various sources and formats.<\/span><\/li>\n<li data-sourcepos=\"14:1-14:104\"><span style=\"vertical-align: inherit\">Irregular Data Processing: Addressing the challenges of irregular data and preparing it for analysis.<\/span><\/li>\n<li data-sourcepos=\"15:1-15:95\"><span style=\"vertical-align: inherit\">Data mining: Discover new patterns and insights in data using data mining techniques.<\/span><\/li>\n<li data-sourcepos=\"16:1-16:104\"><span style=\"vertical-align: inherit\">Building automated pipelines: Creating automated processes to transform, summarize, and extract insights from data.<\/span><\/li>\n<li data-sourcepos=\"17:1-17:111\"><span style=\"vertical-align: inherit\">Troubleshooting Common Errors in PieSpark: Troubleshooting and fixing common problems that may occur when working with PieSpark.<\/span><\/li>\n<li data-sourcepos=\"18:1-19:0\"><span style=\"vertical-align: inherit\">Create stable, long-lasting tasks: Build tasks that run consistently and reliably.<\/span><\/li>\n<\/ul>\n<h3 data-sourcepos=\"20:1-20:33\"><span style=\"vertical-align: inherit\">This course is suitable for people who:<\/span><\/h3>\n<ul data-sourcepos=\"22:1-26:0\">\n<li data-sourcepos=\"22:1-22:43\"><span style=\"vertical-align: inherit\">They are familiar with the Python programming language.<\/span><\/li>\n<li data-sourcepos=\"23:1-23:48\"><span style=\"vertical-align: inherit\">Are interested in data analysis and machine learning.<\/span><\/li>\n<li data-sourcepos=\"24:1-24:66\"><span style=\"vertical-align: inherit\">They intend to increase their ability to process large amounts of data.<\/span><\/li>\n<li data-sourcepos=\"25:1-26:0\"><span style=\"vertical-align: inherit\">They are looking for powerful tools to carry out data analysis projects.<\/span><\/li>\n<\/ul>\n<h3><span style=\"vertical-align: inherit\">Data Analysis with Python and PySpark course details<\/span><\/h3>\n<ul>\n<li><span style=\"vertical-align: inherit\">Publisher: <\/span><a href=\"https:\/\/href.li\/?https:\/\/www.oreilly.com\/library\/view\/data-analysis-with\/9781617297205AU\/\" target=\"_blank\" rel=\"noopener\"><span style=\"vertical-align: inherit\">Oreilly<\/span><\/a><\/li>\n<li><span style=\"vertical-align: inherit\">Instructor: <\/span><a href=\"https:\/\/downloadlynet.ir\/tag\/jonathan-rioux\/\"><span style=\"vertical-align: inherit\">Jonathan Rioux<\/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: 10 hours and 31 minutes<\/span><\/li>\n<\/ul>\n<h3><span style=\"vertical-align: inherit\">Course headings<\/span><\/h3>\n<div class=\"ud-block-list-item ud-block-list-item-small ud-block-list-item-tight ud-block-list-item-neutral ud-text-sm\">\n<ul>\n<li class=\"toc-level-1 t-toc-level-1\" dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 1. Introduction<\/span><\/li>\n<li class=\"toc-level-1 t-toc-level-1\" dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Part 1. Get acquainted: First steps in PySpark<\/span><\/li>\n<li class=\"toc-level-1 t-toc-level-1\" dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 2. Your first data program in PySpark<\/span><\/li>\n<li class=\"toc-level-1 t-toc-level-1\" dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 3. Submitting and scaling your first PySpark program<\/span><\/li>\n<li class=\"toc-level-1 t-toc-level-1\" dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 4. Analyzing tabular data with pyspark.sql<\/span><\/li>\n<li class=\"toc-level-1 t-toc-level-1\" dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 5. Data frame gymnastics: Joining and grouping<\/span><\/li>\n<li class=\"toc-level-1 t-toc-level-1\" dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Part 2. Get proficient: Translate your ideas into code<\/span><\/li>\n<li class=\"toc-level-1 t-toc-level-1\" dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 6. Multidimensional data frames: Using PySpark with JSON data<\/span><\/li>\n<li class=\"toc-level-1 t-toc-level-1\" dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 7. Bilingual PySpark: Blending Python and SQL code<\/span><\/li>\n<li class=\"toc-level-1 t-toc-level-1\" dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 8. Extending PySpark with Python: RDDs and UDFs<\/span><\/li>\n<li class=\"toc-level-1 t-toc-level-1\" dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 9. Big data is just a lot of small data: Using pandas UDFs<\/span><\/li>\n<li class=\"toc-level-1 t-toc-level-1\" dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 10. Your data under a different lens: Window functions<\/span><\/li>\n<li class=\"toc-level-1 t-toc-level-1\" dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 11. Faster PySpark: Understanding Spark\u2019s query planning<\/span><\/li>\n<li class=\"toc-level-1 t-toc-level-1\" dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Part 3. Get confident: Using machine learning with PySpark<\/span><\/li>\n<li class=\"toc-level-1 t-toc-level-1\" dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 12. Setting the stage: Preparing features for machine learning<\/span><\/li>\n<li class=\"toc-level-1 t-toc-level-1\" dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 13. Robust machine learning with ML Pipelines<\/span><\/li>\n<li class=\"toc-level-1 t-toc-level-1\" dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Chapter 14. Building custom ML transformers and estimators<\/span><\/li>\n<li class=\"toc-level-1 t-toc-level-1\" dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Appendix C. Some useful Python concepts<\/span><\/li>\n<\/ul>\n<\/div>\n<h3><span style=\"vertical-align: inherit\">Course images<\/span><\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-961837 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/02\/Data-Analysis-with-Python-and-PySpark.png\" alt=\"Data Pipelines with Apache Airflow video edition\" width=\"955\" height=\"379\"><\/p>\n<h3><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-153850-1\"><video class=\"wp-video-shortcode\" id=\"video-153850-1_html5\" width=\"640\" height=\"360\" preload=\"metadata\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Data_Analysis_with_Python_and_PySpark_Downloadly.ir.mp4?_=1\" style=\"width: 640px; height: 360px;\"><source type=\"video\/mp4\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Data_Analysis_with_Python_and_PySpark_Downloadly.ir.mp4?_=1\"><a href=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Data_Analysis_with_Python_and_PySpark_Downloadly.ir.mp4?nocache=1786112471750\">https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Data_Analysis_with_Python_and_PySpark_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\">Subtitles: None<\/span><\/p>\n<p><span style=\"vertical-align: inherit\">Quality: 720p<\/span><\/p>\n<\/div>\n<h3><span style=\"vertical-align: inherit\">Download link<\/span><\/h3>\n<p><a href=\"https:\/\/dl1.downloadly.ir\/Files\/Elearning\/Oreilly_Data_Analysis_with_Python_and_PySpark_2022-3.part1_Downloadly.ir.rar?nocache=1786112471\"><span style=\"vertical-align: inherit\">Download Part 1 \u2013 1 GB<\/span><\/a><\/p>\n<p><a href=\"https:\/\/dl1.downloadly.ir\/Files\/Elearning\/Oreilly_Data_Analysis_with_Python_and_PySpark_2022-3.part2_Downloadly.ir.rar?nocache=1786112471\"><span style=\"vertical-align: inherit\">Download Part 2 \u2013 513 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\">1.5 GB<\/span><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Description Data Analysis with Python and PySpark Course. This course introduces you to the exciting world of big data analysis. Using PySpark, the most powerfu<\/p>\n","protected":false},"author":1,"template":"","dgi_category":[10458],"dgi_tag":[75097,75098,75099,75100,75101,75102],"class_list":["post-8505","digital_item","type-digital_item","status-publish","has-post-thumbnail","hentry","dgi_category-video-tutorials","dgi_tag-course-data-analysis-with-python-and-pyspark","dgi_tag-download-course-data-analysis-with-python-and-pyspark","dgi_tag-download-data-analysis-with-python-and-pyspark","dgi_tag-free-data-analysis-with-python-and-pyspark","dgi_tag-free-download-data-analysis-with-python-and-pyspark","dgi_tag-jonathan-rioux"],"_links":{"self":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item\/8505","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\/8505\/revisions"}],"wp:attachment":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/media?parent=8505"}],"wp:term":[{"taxonomy":"dgi_category","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_category?post=8505"},{"taxonomy":"dgi_tag","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_tag?post=8505"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}