<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[RSS Feed]]></title><description><![CDATA[RSS Feed]]></description><link>http://direct.ecency.com</link><image><url>http://direct.ecency.com/logo512.png</url><title>RSS Feed</title><link>http://direct.ecency.com</link></image><generator>RSS for Node</generator><lastBuildDate>Tue, 12 May 2026 23:31:04 GMT</lastBuildDate><atom:link href="http://direct.ecency.com/created/web-crawling/rss.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[Online Shopping Platform ]]></title><description><![CDATA[This project aims at implementing a web crawler which can query information from various online shopping sites like Flipkart, Snapdeal or Myntra. Using a simple GUI, search for a particular item by querying]]></description><link>http://direct.ecency.com/utopian-io/@prateekiiest/online-shopping-platform</link><guid isPermaLink="true">http://direct.ecency.com/utopian-io/@prateekiiest/online-shopping-platform</guid><category><![CDATA[utopian-io]]></category><dc:creator><![CDATA[prateekiiest]]></dc:creator><pubDate>Mon, 01 Jan 2018 08:30:33 GMT</pubDate></item><item><title><![CDATA[10 lines of code to crawl and analyze data - Part 3]]></title><description><![CDATA[The final part of the video tutorial series, we continued to use pandas to find out the top 10 tags and quickly made a data visualization chart. Although the narration is in Cantonese, I added English]]></description><link>http://direct.ecency.com/data-science/@coder.trader.kan/10-lines-of-code-to-crawl-and-analyze-data-part-3</link><guid isPermaLink="true">http://direct.ecency.com/data-science/@coder.trader.kan/10-lines-of-code-to-crawl-and-analyze-data-part-3</guid><category><![CDATA[data-science]]></category><dc:creator><![CDATA[coder.trader.kan]]></dc:creator><pubDate>Mon, 03 Jul 2017 21:21:51 GMT</pubDate><enclosure url="https://images.ecency.com/p/S5Eokt4BcQdk7EHeT1aYjzebg2hC7hkthT45eMZckGJHg2krs8eEnW4cbsTn4pfseAeUjvN?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[10 lines of code to crawl and analyze data - Part 2]]></title><description><![CDATA[Hi All Steemers, Continuing the part 1 post, we went into details about pandas and showed some basic functions. Although the narration is in Cantonese, I added English subtitle for your convenience. Please]]></description><link>http://direct.ecency.com/data-science/@coder.trader.kan/10-lines-of-code-to-crawl-and-analyze-data-part-2</link><guid isPermaLink="true">http://direct.ecency.com/data-science/@coder.trader.kan/10-lines-of-code-to-crawl-and-analyze-data-part-2</guid><category><![CDATA[data-science]]></category><dc:creator><![CDATA[coder.trader.kan]]></dc:creator><pubDate>Mon, 03 Jul 2017 13:44:54 GMT</pubDate><enclosure url="https://images.ecency.com/p/S5Eokt4BcQdk7EHeT1aYjzebg2hC7hkthT45dvcmNwkL9wjo6Spzoc4SUFuDQ2gWBUF5vMC?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[10 lines of code to crawl and analyze data - Part 1]]></title><description><![CDATA[Hi All Steemers, This is my first post and so I post part 1 of my 3-part video tutorial series on using Python to crawl and analyze data. Although the narration is in Cantonese, I added English subtitle]]></description><link>http://direct.ecency.com/steem/@coder.trader.kan/10-lines-of-code-to-crawl-and-analyze-data-part-1</link><guid isPermaLink="true">http://direct.ecency.com/steem/@coder.trader.kan/10-lines-of-code-to-crawl-and-analyze-data-part-1</guid><category><![CDATA[steem]]></category><dc:creator><![CDATA[coder.trader.kan]]></dc:creator><pubDate>Sun, 02 Jul 2017 13:51:48 GMT</pubDate><enclosure url="https://images.ecency.com/p/S5Eokt4BcQdk7EHeT1aYjzebg2hC7hkthT45eMZckGJHg2krs8eEnW4cbsTn4pfseAeUjvN?format=match&amp;mode=fit" length="0" type="false"/></item></channel></rss>