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<?xml-stylesheet type="text/xsl" href="../assets/xml/rss.xsl" media="all"?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Layperson's Notes (Posts about FileFormat)</title><link>https://pyhsieh.net/</link><description></description><atom:link href="https://pyhsieh.net/categories/fileformat.xml" rel="self" type="application/rss+xml"></atom:link><language>en</language><copyright>Contents © 2026 &lt;a href="mailto:soft.desk9067@fastmail.com"&gt;Po-Yu Hsieh&lt;/a&gt; </copyright><lastBuildDate>Sun, 13 Sep 2026 08:16:14 GMT</lastBuildDate><generator>Nikola (getnikola.com)</generator><docs>http://blogs.law.harvard.edu/tech/rss</docs><item><title>Data Exchange Format (1) - Working with CSV, Part 1</title><link>https://pyhsieh.net/posts/2026/09/data-exchange-csv-001/</link><dc:creator>Po-Yu Hsieh</dc:creator><description>&lt;div&gt;&lt;p&gt;CSV (&lt;strong&gt;C&lt;/strong&gt;omma-&lt;strong&gt;S&lt;/strong&gt;eparated &lt;strong&gt;V&lt;/strong&gt;alues) files are common to anyone working with tabular data, no matter if those data are called "tables" or "spreadsheets" in conversations or your computer.
If you work in information technology industry, you've likely encountered them repeatedly in class assignments, personal projects, or data-centered tasks in the workplace, from fundamental data engineering to analytics applications.&lt;/p&gt;
&lt;p&gt;&lt;a href="https://pyhsieh.net/posts/2026/09/data-exchange-csv-001/"&gt;Read more…&lt;/a&gt; (5 min remaining to read)&lt;/p&gt;&lt;/div&gt;</description><category>DataEngineering</category><category>FileFormat</category><guid>https://pyhsieh.net/posts/2026/09/data-exchange-csv-001/</guid><pubDate>Sat, 12 Sep 2026 16:00:00 GMT</pubDate></item></channel></rss>