{"id":10188,"date":"2026-08-10T10:16:07","date_gmt":"2026-08-10T10:16:07","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/linkedin-string-cleaning-with-pandas-2-0-2023-10\/"},"modified":"2026-08-10T10:16:07","modified_gmt":"2026-08-10T10:16:07","slug":"linkedin-string-cleaning-with-pandas-2-0-2023-10","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/linkedin-string-cleaning-with-pandas-2-0-2023-10\/","title":{"rendered":"LinkedIn \u2013 String Cleaning with pandas 2.0 2023-10"},"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\"><span style=\"vertical-align: inherit\">String Cleaning with pandas 2.0 course. This course teaches effective methods for cleaning and processing text data using the pandas 2.0 library in Python. String cleaning is a necessary step in data analysis, and the course, taught by Professor Seth Berry of the University of Notre Dame, covers a variety of techniques, from basic operations such as text replacement to advanced regular expressions. Topics include using pandas functions and methods, PyArrow backends, text extraction, match and split functions, quantifiers, backreferences, and complex patterns such as lookarounds and boundaries. Speed \u200b\u200btests are also reviewed to optimize performance. By the end of the course, you will be able to independently use pandas tools to solve a variety of text data cleaning problems.<\/span><\/p>\n<h3 dir=\"ltr\" style=\"text-align: left\" data-sourcepos=\"13:1-13:25\"><span style=\"vertical-align: inherit\">What you will learn:<\/span><\/h3>\n<ul dir=\"ltr\" style=\"text-align: left\" data-sourcepos=\"15:1-31:0\">\n<li data-sourcepos=\"15:1-15:85\"><span style=\"vertical-align: inherit\">Using the powerful PyArrow backend in pandas for more efficient string sanitization.<\/span><\/li>\n<li data-sourcepos=\"16:1-16:68\"><span style=\"vertical-align: inherit\">Conduct speed tests to evaluate the performance of different thread cleaning methods.<\/span><\/li>\n<li data-sourcepos=\"17:1-17:49\"><span style=\"vertical-align: inherit\">Remove special and unwanted characters from text strings.<\/span><\/li>\n<li data-sourcepos=\"18:1-18:51\"><span style=\"vertical-align: inherit\">Matching specific text patterns using regular expressions.<\/span><\/li>\n<li data-sourcepos=\"19:1-19:46\"><span style=\"vertical-align: inherit\">Extracting desired patterns from complex strings.<\/span><\/li>\n<li data-sourcepos=\"20:1-20:46\"><span style=\"vertical-align: inherit\">Counting the occurrences of specific strings and patterns in data.<\/span><\/li>\n<li data-sourcepos=\"21:1-21:55\"><span style=\"vertical-align: inherit\">Dividing strings into smaller parts based on specific patterns.<\/span><\/li>\n<li data-sourcepos=\"22:1-22:49\"><span style=\"vertical-align: inherit\">Create new columns in DataFrames from existing text.<\/span><\/li>\n<li data-sourcepos=\"23:1-23:58\"><span style=\"vertical-align: inherit\">Find and replace text patterns using regular expressions.<\/span><\/li>\n<li data-sourcepos=\"24:1-24:63\"><span style=\"vertical-align: inherit\">Using quantifiers to match patterns with a specific number of repetitions.<\/span><\/li>\n<li data-sourcepos=\"25:1-25:53\"><span style=\"vertical-align: inherit\">Reorganize strings using reverse references.<\/span><\/li>\n<li data-sourcepos=\"26:1-26:79\"><span style=\"vertical-align: inherit\">Naming cross-reference groups for easier access to matched sections.<\/span><\/li>\n<li data-sourcepos=\"27:1-27:90\"><span style=\"vertical-align: inherit\">Extract strings using lookarounds to match patterns without including them in the result.<\/span><\/li>\n<li data-sourcepos=\"28:1-28:63\"><span style=\"vertical-align: inherit\">Use boundaries and sets to more precisely define text patterns.<\/span><\/li>\n<li data-sourcepos=\"29:1-29:77\"><span style=\"vertical-align: inherit\">Combine and chain pandas string methods to perform complex cleanup operations.<\/span><\/li>\n<li data-sourcepos=\"30:1-31:0\"><span style=\"vertical-align: inherit\">Practice and improve your regular expression skills through practical challenges.<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\" data-sourcepos=\"32:1-32:32\"><span style=\"vertical-align: inherit\">Who is this course suitable for?<\/span><\/h3>\n<ul dir=\"ltr\" style=\"text-align: left\" data-sourcepos=\"34:1-38:0\">\n<li data-sourcepos=\"34:1-34:95\"><span style=\"vertical-align: inherit\">Data Analysts looking to learn effective methods for cleaning and preparing text data.<\/span><\/li>\n<li data-sourcepos=\"35:1-35:105\"><span style=\"vertical-align: inherit\">Beginner Data Scientists who want to improve their string manipulation skills using pandas.<\/span><\/li>\n<li data-sourcepos=\"36:1-36:94\"><span style=\"vertical-align: inherit\">Anyone who works with text data in Python and needs to clean and standardize it.<\/span><\/li>\n<li data-sourcepos=\"37:1-38:0\"><span style=\"vertical-align: inherit\">Current pandas users who want to take advantage of the new and improved string sanitization capabilities in version 2.0.<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">String Cleaning with pandas 2.0 course details<\/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.linkedin.com\/learning\/string-cleaning-with-pandas-2-0\" target=\"_blank\" rel=\"noopener\"><span style=\"vertical-align: inherit\">LinkedIn<\/span><\/a><\/li>\n<li><span style=\"vertical-align: inherit\">Instructor: <\/span><a href=\"https:\/\/downloadlynet.ir\/tag\/seth-berry\/\"><span style=\"vertical-align: inherit\">Seth Berry<\/span><\/a><\/li>\n<li><span style=\"vertical-align: inherit\">Training level: Advanced<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Training duration: 1 hour and 2 minutes<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Course topics<\/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\" dir=\"ltr\" style=\"text-align: left\">\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-982485 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/05\/String-Cleaning-with-pandas-2.0.png\" alt=\"String Cleaning with pandas 2.0\" width=\"438\" height=\"272\"><\/p>\n<\/div>\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-982484 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/05\/String-Cleaning-with-pandas-2.0-1.png\" alt=\"String Cleaning with pandas 2.0\" width=\"745\" height=\"190\"><\/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-164283-1\"><video class=\"wp-video-shortcode\" id=\"video-164283-1_html5\" width=\"640\" height=\"360\" preload=\"metadata\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/String_Cleaning_with_pandas_2.0_Downloadly.ir.mp4?_=1\" style=\"width: 640px; height: 360px;\"><source type=\"video\/mp4\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/String_Cleaning_with_pandas_2.0_Downloadly.ir.mp4?_=1\"><a href=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/String_Cleaning_with_pandas_2.0_Downloadly.ir.mp4?nocache=1786137394836\">https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/String_Cleaning_with_pandas_2.0_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\/LinkedIn_String_Cleaning_with_pandas_2.0_2023-10_Downloadly.ir.rar?nocache=1786137394\"><span style=\"vertical-align: inherit\">Download file \u2013 111 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\">111 MB<\/span><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Description String Cleaning with pandas 2.0 course. 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