{"version":"1.0","provider_name":"nAG","provider_url":"https:\/\/nag.com","title":"Fast Implied Volatility using Python's Pandas Library and Chebyshev Interpolation - nAG","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"t14osvzeal\"><a href=\"https:\/\/nag.com\/insights\/fast-implied-volatility-using-pythons-pandas-library-and-chebyshev-interpolation\/\">Fast Implied Volatility using Python&#8217;s Pandas Library and Chebyshev Interpolation<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/nag.com\/insights\/fast-implied-volatility-using-pythons-pandas-library-and-chebyshev-interpolation\/embed\/#?secret=t14osvzeal\" width=\"600\" height=\"338\" title=\"&#8220;Fast Implied Volatility using Python&#8217;s Pandas Library and Chebyshev Interpolation&#8221; &#8212; nAG\" data-secret=\"t14osvzeal\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script type=\"text\/javascript\">\n\/* <![CDATA[ *\/\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/* ]]> *\/\n<\/script>\n","thumbnail_url":"https:\/\/nag.com\/wp-content\/uploads\/2023\/05\/pricing-options.jpeg","thumbnail_width":2000,"thumbnail_height":1000,"description":"Python has some nice packages such as\u00a0numpy,\u00a0scipy, and\u00a0matplotlib\u00a0for numerical computing and data visualization. Another package that deserves a mention that we have seen increasingly is Python's\u00a0pandas library. Pandas has fast and efficient data analysis tools to store and process large amounts of data. All of these packages can easily be integrated with the\u00a0NAG Library for Python."}