{"version":"1.0","provider_name":"CloudxLab Blog","provider_url":"https:\/\/cloudxlab.com\/blog","title":"Running PySpark in Jupyter \/ IPython notebook | CloudxLab Blog","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\"><a href=\"https:\/\/cloudxlab.com\/blog\/running-pyspark-jupyter-notebook\/\">Running PySpark in Jupyter \/ IPython notebook<\/a><\/blockquote>\n<script type='text\/javascript'>\n<!--\/\/--><![CDATA[\/\/><!--\n\t\t\/*! This file is auto-generated *\/\n\t\t!function(c,d){\"use strict\";var e=!1,n=!1;if(d.querySelector)if(c.addEventListener)e=!0;if(c.wp=c.wp||{},!c.wp.receiveEmbedMessage)if(c.wp.receiveEmbedMessage=function(e){var t=e.data;if(t)if(t.secret||t.message||t.value)if(!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var r,a,i,s=d.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),n=d.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),o=0;o<n.length;o++)n[o].style.display=\"none\";for(o=0;o<s.length;o++)if(r=s[o],e.source===r.contentWindow){if(r.removeAttribute(\"style\"),\"height\"===t.message){if(1e3<(i=parseInt(t.value,10)))i=1e3;else if(~~i<200)i=200;r.height=i}if(\"link\"===t.message)if(a=d.createElement(\"a\"),i=d.createElement(\"a\"),a.href=r.getAttribute(\"src\"),i.href=t.value,i.host===a.host)if(d.activeElement===r)c.top.location.href=t.value}}},e)c.addEventListener(\"message\",c.wp.receiveEmbedMessage,!1),d.addEventListener(\"DOMContentLoaded\",t,!1),c.addEventListener(\"load\",t,!1);function t(){if(!n){n=!0;for(var e,t,r=-1!==navigator.appVersion.indexOf(\"MSIE 10\"),a=!!navigator.userAgent.match(\/Trident.*rv:11\\.\/),i=d.querySelectorAll(\"iframe.wp-embedded-content\"),s=0;s<i.length;s++){if(!(e=i[s]).getAttribute(\"data-secret\"))t=Math.random().toString(36).substr(2,10),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t);if(r||a)(t=e.cloneNode(!0)).removeAttribute(\"security\"),e.parentNode.replaceChild(t,e)}}}}(window,document);\n\/\/--><!]]>\n<\/script><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/cloudxlab.com\/blog\/running-pyspark-jupyter-notebook\/embed\/\" width=\"600\" height=\"338\" title=\"&#8220;Running PySpark in Jupyter \/ IPython notebook&#8221; &#8212; CloudxLab Blog\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe>","description":"You can run PySpark code in Jupyter notebook on CloudxLab. The following instructions cover 2.2, 2.3, 2.4 and 3.1 versions of Apache Spark. What is\u00a0Jupyter\u00a0notebook? The IPython Notebook is now known as the Jupyter Notebook. It is an interactive computational environment, in which you can combine code execution, rich text, mathematics, plots and rich media. &hellip; Continue reading \"\"","thumbnail_url":"https:\/\/blog.cloudxlab.com\/wp-content\/uploads\/2020\/10\/hive_spark_sql.png"}