{"version":"1.0","provider_name":"Itxperts","provider_url":"https:\/\/itxperts.co.in\/blog","author_name":"@mritxperts","author_url":"https:\/\/itxperts.co.in\/blog\/author\/mritxpertsgmail-com\/","title":"How to Work with CSV and JSON Datasets in Python - Itxperts","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"mkAlAzLi8s\"><a href=\"https:\/\/itxperts.co.in\/blog\/how-to-work-with-csv-json-datasets-python\/\">How to Work with CSV and JSON Datasets in Python<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/itxperts.co.in\/blog\/how-to-work-with-csv-json-datasets-python\/embed\/#?secret=mkAlAzLi8s\" width=\"600\" height=\"338\" title=\"&#8220;How to Work with CSV and JSON Datasets in Python&#8221; &#8212; Itxperts\" data-secret=\"mkAlAzLi8s\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script>\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\/\/# sourceURL=https:\/\/itxperts.co.in\/blog\/wp-includes\/js\/wp-embed.min.js\n<\/script>\n","description":"Introduction When working with Machine Learning or data analysis projects, CSV and JSON are the most commonly used file formats for datasets. Python makes it easy to load, parse, and manipulate these formats using built-in libraries and external packages like pandas and json. In this post, you\u2019ll learn how to work with CSV and JSON [&hellip;]","thumbnail_url":"https:\/\/itxperts.co.in\/blog\/wp-content\/uploads\/2025\/05\/cropped-cropped-itxperts_logo.png","thumbnail_width":436,"thumbnail_height":398}