{"id":16044,"date":"2026-08-10T12:02:31","date_gmt":"2026-08-10T12:02:31","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/packt-python-data-mining-quick-start-guide-2019\/"},"modified":"2026-08-10T12:02:31","modified_gmt":"2026-08-10T12:02:31","slug":"packt-python-data-mining-quick-start-guide-2019","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/packt-python-data-mining-quick-start-guide-2019\/","title":{"rendered":"Packt \u2013 Python Data Mining Quick Start Guide 2019"},"content":{"rendered":"<div class=\"w-post-elm post_content\">\n<h2><span dir=\"auto\" style=\"vertical-align: inherit\">Description<\/span><\/h2>\n<p><span dir=\"auto\" style=\"vertical-align: inherit\">The Python Data Mining Quick Start Guide is written with the aim of quickly and easily introducing those interested in the world of data analysis and data mining to the Python programming language. The author of the book explains the basic concepts of data mining in a very simple and fluent language so that even people with little experience in this field can easily relate to it and begin their learning path.<\/span><\/p>\n<p><span dir=\"auto\" style=\"vertical-align: inherit\">Throughout the chapters, the reader is introduced to the full data mining cycle, including data collection, cleaning, preprocessing, and finally extracting hidden patterns. Relying on popular Python libraries, the book teaches the audience how to transform raw, unstructured data into valuable, actionable insights for macro-management and business decisions.<\/span><\/p>\n<h3><span dir=\"auto\" style=\"vertical-align: inherit\">Book Features<\/span><\/h3>\n<ul>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">A completely text-based and fast approach to entering the world of data mining without the need for a heavy mathematical background<\/span><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Practical, step-by-step training on cleaning data and preparing it for analytical processes<\/span><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Introducing and using standard and key Python tools and libraries in the field of data science<\/span><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Focus on extracting behavioral patterns, predictive analytics, and discovering valuable information from big data<\/span><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Providing concrete examples and small business projects to better understand theoretical concepts in practice<\/span><\/li>\n<\/ul>\n<h3><span dir=\"auto\" style=\"vertical-align: inherit\">Book specifications<\/span><\/h3>\n<ul>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Publisher: <\/span><a href=\"https:\/\/href.li\/?www.amazon.com\/Python-Mining-Quick-Start-Guide\/dp\/1789800269\" target=\"_blank\" rel=\"nofollow noopener\"><span dir=\"auto\" style=\"vertical-align: inherit\">Packt<\/span><\/a><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Instructor\/Author: <\/span><a href=\"https:\/\/downloadlynet.ir\/tag\/nathan-greeneltch\/\"><span dir=\"auto\" style=\"vertical-align: inherit\">Nathan Greeneltch<\/span><\/a><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Number of pages: 181<\/span><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Number of chapters: 7<\/span><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Format: PDF<\/span><\/li>\n<\/ul>\n<h3><strong><span dir=\"auto\" style=\"vertical-align: inherit\">Headlines<\/span><\/strong><\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-1037166 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2026\/05\/Python-Data-Mining-Quick-Start-Guide4.png\" alt=\"Python Data Mining Quick Start Guide\" width=\"244\" height=\"895\"><\/p>\n<h3><span dir=\"auto\" style=\"vertical-align: inherit\">Pictures<\/span><\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-1037167 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2026\/05\/Python-Data-Mining-Quick-Start-Guide41.png\" alt=\"Python Data Mining Quick Start Guide\" width=\"734\" height=\"300\"><\/p>\n<h3><span dir=\"auto\" style=\"vertical-align: inherit\">User Guide<\/span><\/h3>\n<p><span dir=\"auto\" style=\"vertical-align: inherit\">Extract the file and run it with the appropriate software.<\/span><\/p>\n<h3><span dir=\"auto\" style=\"vertical-align: inherit\">Download link<\/span><\/h3>\n<p><a href=\"https:\/\/dl4.downloadly.ir\/Files\/Elearning\/Packt_Python_Data_Mining_Quick_Start_Guide_2019_Downloadly.ir.rar?nocache=1785941277\"><span dir=\"auto\" style=\"vertical-align: inherit\">Download file \u2013 20 MB<\/span><\/a><\/p>\n<h5><span dir=\"auto\" style=\"vertical-align: inherit\">File(s) password: <\/span><a><span dir=\"auto\" style=\"vertical-align: inherit\">www.downloadly.ir<\/span><\/a><\/h5>\n<h3><span dir=\"auto\" style=\"vertical-align: inherit\">File size<\/span><\/h3>\n<p><span dir=\"auto\" style=\"vertical-align: inherit\">20 MB<\/span><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Description The Python Data Mining Quick Start Guide is written with the aim of quickly and easily introducing those interested in the world of data analysis an<\/p>\n","protected":false},"author":1,"template":"","dgi_category":[127485],"dgi_tag":[129405,129406,129407,129408,129409,128495,129410,129411,129412],"class_list":["post-16044","digital_item","type-digital_item","status-publish","has-post-thumbnail","hentry","dgi_category-ebook","dgi_tag-download-python-data-mining-quick-start-guide","dgi_tag-download-python-data-mining-quick-start-guide-book","dgi_tag-free-download-python-data-mining-quick-start-guide","dgi_tag-free-python-data-mining-quick-start-guide","dgi_tag-nathan-greeneltch","dgi_tag-packt","dgi_tag-python-data-mining-quick-start-guide","dgi_tag-python-data-mining-quick-start-guide-book","dgi_tag-python-data-mining-quick-start-guide-download"],"_links":{"self":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item\/16044","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\/16044\/revisions"}],"wp:attachment":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/media?parent=16044"}],"wp:term":[{"taxonomy":"dgi_category","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_category?post=16044"},{"taxonomy":"dgi_tag","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_tag?post=16044"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}