{"id":11347,"date":"2026-08-10T10:30:59","date_gmt":"2026-08-10T10:30:59","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-numpy-library-for-data-science-all-in-one-2022-5\/"},"modified":"2026-08-10T10:30:59","modified_gmt":"2026-08-10T10:30:59","slug":"udemy-numpy-library-for-data-science-all-in-one-2022-5","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-numpy-library-for-data-science-all-in-one-2022-5\/","title":{"rendered":"Udemy \u2013 Numpy Library for data science (All in one) 2022-5"},"content":{"rendered":"<div class=\"w-post-elm post_content\">\n<h2 dir=\"ltr\">Description<\/h2>\n<p dir=\"ltr\">Numpy Library for data science (All in one) is a course on building a solid foundation in numerical computing using Python\u2019s powerful NumPy library, published by Udemy Online Academy. This is a comprehensive course designed for aspiring data scientists and analysts who want to build a solid foundation in numerical computing using Python\u2019s powerful NumPy library. The course covers the core concepts and practical applications of NumPy, guiding individuals through data structures such as arrays, performing mathematical operations, working with spreads, indexing, slicing, transforming, and integrating with other data science tools. This course is ideal for those looking to strengthen their skills in manipulating, preprocessing, and optimizing data performance.<\/p>\n<p dir=\"ltr\">Numpy is a library for the Python programming language that supports large, multidimensional arrays and matrices, along with a large set of high-level mathematical functions for working with these arrays. Numpy aims to provide an array object that is up to 50 times faster than traditional Python lists. The array object in Numpy is called ndarray and it provides many support functions that make working with ndarray very easy. Arrays are widely used in data science. In this course, you will open a door to the world of data science and go deeper. You will learn Numpy step by step with practical examples. Most importantly in data science, you need to know how to use the Numpy library effectively. Because this library is limitless.<\/p>\n<h3 dir=\"ltr\">What you will learn in Numpy Library for data science (All in one):<\/h3>\n<ul dir=\"ltr\">\n<li>Various Numpy functions applied as matrix\/array operations<\/li>\n<li>&nbsp;You will learn Numpy \u2013 Python\u2019s numerical library<\/li>\n<li>&nbsp;Various Numpy mathematical functions<\/li>\n<li>&nbsp;Go from absolute beginner to a confident Python NumPy user<\/li>\n<li>Dare to get the most out of Python NumPy<\/li>\n<li>&nbsp;Dive deeper to understand complex topics in Python NumPy<\/li>\n<li>&nbsp;And\u2026<\/li>\n<\/ul>\n<h3 dir=\"ltr\">Course specifications<\/h3>\n<p dir=\"ltr\">Publisher: <a href=\"https:\/\/href.li\/?https:\/\/www.udemy.com\/course\/numpy-library-for-data-science-all-in-one\/?couponCode=MT240725G1\" target=\"_blank\" rel=\"noopener\"> Udemy <\/a><br \/>Instructors: <a dir=\"ltr\" style=\"text-align: right\" href=\"https:\/\/downloadlynet.ir\/tag\/shambhavi-gupta\/\" target=\"_blank\" rel=\"noopener\">Shambhavi Gupta<\/a><br \/>Language: English<br \/>Level: Introductory to Advanced<br \/>Number of Lessons: 23<br \/>Duration: 3 hours and 53 minutes<\/p>\n<h3 dir=\"ltr\">Course topics<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-995877\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/07\/Numpy-Library-for-data-science-All-in-one-Co.png\" alt=\"Numpy Library for data science (All in one) Content\" width=\"710\" height=\"253\"><\/p>\n<h3 dir=\"ltr\">Numpy Library for data science (All in one) Prerequisites<\/h3>\n<p dir=\"ltr\">Should have a basic knowledge of Python<\/p>\n<h3 dir=\"ltr\">Pictures<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-995878\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/07\/Numpy-Library-for-data-science-All-in-one.png\" alt=\"Numpy Library for data science (All in one)\" width=\"699\" height=\"210\"><\/p>\n<h3 dir=\"ltr\">Numpy Library for data science (All in one) introduction video<\/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-170999-1\"><video class=\"wp-video-shortcode\" id=\"video-170999-1_html5\" width=\"640\" height=\"360\" preload=\"metadata\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Numpy_Library_for_data_science_All_in_one_Downloadly.ir.mp4?_=1\" style=\"width: 640px; height: 360px;\"><source type=\"video\/mp4\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Numpy_Library_for_data_science_All_in_one_Downloadly.ir.mp4?_=1\"><a href=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Numpy_Library_for_data_science_All_in_one_Downloadly.ir.mp4?nocache=1786140560421\">https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Numpy_Library_for_data_science_All_in_one_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<h3 dir=\"ltr\"><span class=\"notranslate\">Installation guide<\/span><\/h3>\n<p dir=\"ltr\">After Extract, watch with your favorite Player.<\/p>\n<p dir=\"ltr\">Subtitle: None<\/p>\n<p dir=\"ltr\">Quality: 1080p<\/p>\n<h3 dir=\"ltr\">Download link<\/h3>\n<p><a href=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Udemy_Numpy_Library_for_data_science_All_in_one_2022-5.part1_Downloadly.ir.rar?nocache=1786140559\">Download Part 1 \u2013 1 GB<\/a><\/p>\n<p><a href=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Udemy_Numpy_Library_for_data_science_All_in_one_2022-5.part2_Downloadly.ir.rar?nocache=1786140559\">Download Part 2 \u2013 1 GB<\/a><\/p>\n<p><a href=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Udemy_Numpy_Library_for_data_science_All_in_one_2022-5.part3_Downloadly.ir.rar?nocache=1786140559\">Download Part 3 \u2013 1 GB<\/a><\/p>\n<p><a href=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Udemy_Numpy_Library_for_data_science_All_in_one_2022-5.part4_Downloadly.ir.rar?nocache=1786140559\">Download Part 4 \u2013 167 MB<\/a><\/p>\n<h5 dir=\"ltr\">File password (s): <a>www.downloadly.ir<\/a><\/h5>\n<h3 dir=\"ltr\">Size<\/h3>\n<p dir=\"ltr\">3.1 GB<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Description Numpy Library for data science (All in one) is a course on building a solid foundation in numerical computing using Python\u2019s powerful NumPy library,<\/p>\n","protected":false},"author":1,"template":"","dgi_category":[10458],"dgi_tag":[94714,94715,94716,94717,86928,94718,94719,94720,94721,94722],"class_list":["post-11347","digital_item","type-digital_item","status-publish","has-post-thumbnail","hentry","dgi_category-video-tutorials","dgi_tag-numpy-library-for-data-science-all-in-one","dgi_tag-numpy-library-for-data-science-all-in-one-download","dgi_tag-numpy-library-for-data-science-all-in-one-free","dgi_tag-numpy-library-for-data-science-all-in-one-free-download","dgi_tag-shambhavi-gupta","dgi_tag-udemy-numpy-library-for-data-science-all-in-one","dgi_tag-udemy-numpy-library-for-data-science-all-in-one-download","dgi_tag-udemy-numpy-library-for-data-science-all-in-one-english","dgi_tag-udemy-numpy-library-for-data-science-all-in-one-free","dgi_tag-udemy-numpy-library-for-data-science-all-in-one-free-download"],"_links":{"self":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item\/11347","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\/11347\/revisions"}],"wp:attachment":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/media?parent=11347"}],"wp:term":[{"taxonomy":"dgi_category","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_category?post=11347"},{"taxonomy":"dgi_tag","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_tag?post=11347"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}