<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/">
  <channel>
    <title>Data-Science on Chris Achinga</title>
    <link>http://me.chrisdevcode.com/tags/data-science/</link>
    <description>Recent content in Data-Science on Chris Achinga</description>
    <image>
      <title>Chris Achinga</title>
      <url>http://me.chrisdevcode.com/images/c.png</url>
      <link>http://me.chrisdevcode.com/images/c.png</link>
    </image>
    <generator>Hugo -- 0.147.2</generator>
    <language>en</language>
    <copyright>2025 Chris Achinga</copyright>
    <lastBuildDate>Sun, 23 Nov 2025 00:00:00 +0300</lastBuildDate>
    <atom:link href="http://me.chrisdevcode.com/tags/data-science/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>My Site Analysis with Cabin </title>
      <link>http://me.chrisdevcode.com/posts/2025/my-site-analytics-with-cabin/</link>
      <pubDate>Sun, 23 Nov 2025 00:00:00 +0300</pubDate>
      <guid>http://me.chrisdevcode.com/posts/2025/my-site-analytics-with-cabin/</guid>
      <description>Website analysis on a Hugo site, using Cabin</description>
    </item>
    <item>
      <title>Seeding Data in Django Using Faker</title>
      <link>http://me.chrisdevcode.com/posts/2024/seeding-data-in-django-using-faker/</link>
      <pubDate>Wed, 27 Mar 2024 00:00:00 +0300</pubDate>
      <guid>http://me.chrisdevcode.com/posts/2024/seeding-data-in-django-using-faker/</guid>
      <description>Seeding data in a Django project can be essential for development and testing.</description>
    </item>
    <item>
      <title>Reading Data From Files Using Python</title>
      <link>http://me.chrisdevcode.com/posts/2021/reading-data-from-files-using-python/</link>
      <pubDate>Tue, 05 Oct 2021 19:14:00 +0000</pubDate>
      <guid>http://me.chrisdevcode.com/posts/2021/reading-data-from-files-using-python/</guid>
      <description>&lt;blockquote&gt;
&lt;/blockquote&gt;
&lt;p&gt;Hi There! Welcome to Data 101.&lt;/p&gt;
&lt;p&gt;In this article, I will take you through reading files using Python as you prepare to analyze them.&lt;/p&gt;
&lt;p&gt;I will be using  &lt;a href=&#34;https://research.google.com/colaboratory/&#34;&gt;Google&amp;rsquo;s Colaboratory&lt;/a&gt; tool as my IDE. You don&amp;rsquo;t have to install or set up anything on your laptop/computer to use it, simply go to &lt;a href=&#34;https://research.google.com/colaboratory/&#34;&gt;https://research.google.com/colaboratory/&lt;/a&gt; and create a new notebook.&lt;/p&gt;
&lt;h1 id=&#34;reading-csv-files&#34;&gt;Reading CSV Files&lt;/h1&gt;
&lt;p&gt;You&amp;rsquo;ll need to upload a data file. To do so, click on the folder icon on the far left of the Notebook:&lt;/p&gt;</description>
    </item>
  </channel>
</rss>
