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      <title>SERIES by Nidhi Anand</title>
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      <description>things that we can do</description>
      <language>en-us</language>
      <pubDate>2021-06-25 09:51:06 UTC</pubDate>
      <lastBuildDate>2026-01-03 07:15:34 UTC</lastBuildDate>
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         <title>SERIES- it contains sequence of values with default numeric data label(indexing)..</title>
         <author>diyaistwal</author>
         <link>https://padlet.com/nidhianandna/g2tatd5sywk56931/wish/1650831179</link>
         <description><![CDATA[<div>we can create series from numpy arrays/dictionaries.<br>used for data handing</div>]]></description>
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         <pubDate>2021-07-15 06:35:36 UTC</pubDate>
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         <title>sreyas hariharan</title>
         <author></author>
         <link>https://padlet.com/nidhianandna/g2tatd5sywk56931/wish/1650835049</link>
         <description><![CDATA[]]></description>
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         <pubDate>2021-07-15 06:38:08 UTC</pubDate>
         <guid>https://padlet.com/nidhianandna/g2tatd5sywk56931/wish/1650835049</guid>
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         <title>Jaidev </title>
         <author></author>
         <link>https://padlet.com/nidhianandna/g2tatd5sywk56931/wish/1650836249</link>
         <description><![CDATA[<div><strong>Pandas Series</strong> is a one-dimensional labeled array capable of holding data of any type (integer, string, float, python objects, etc.)</div>]]></description>
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         <pubDate>2021-07-15 06:38:55 UTC</pubDate>
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         <title>SAMARTH</title>
         <author></author>
         <link>https://padlet.com/nidhianandna/g2tatd5sywk56931/wish/1650836402</link>
         <description><![CDATA[]]></description>
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         <pubDate>2021-07-15 06:39:02 UTC</pubDate>
         <guid>https://padlet.com/nidhianandna/g2tatd5sywk56931/wish/1650836402</guid>
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         <title>series.</title>
         <author>sreyas2502</author>
         <link>https://padlet.com/nidhianandna/g2tatd5sywk56931/wish/1650838803</link>
         <description><![CDATA[]]></description>
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         <pubDate>2021-07-15 06:40:48 UTC</pubDate>
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