<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>read.csv on DataScience.LA</title><link>https://datasciencela.github.io/tag/read-csv/</link><description>Recent content in read.csv on DataScience.LA</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><copyright>DataScience.LA, 2014–2021 · Read-only archive: comments are closed.</copyright><lastBuildDate>Mon, 01 Sep 2014 12:37:03 -0700</lastBuildDate><atom:link href="https://datasciencela.github.io/tag/read-csv/index.xml" rel="self" type="application/rss+xml"/><item><title>Matt Dowle's data.table Talk from useR! 2014</title><link>https://datasciencela.github.io/matt-dowles-data-table-talk-from-user-2014/</link><pubDate>Thu, 28 Aug 2014 11:04:36 -0700</pubDate><guid>https://datasciencela.github.io/matt-dowles-data-table-talk-from-user-2014/</guid><description>&lt;p&gt;&lt;a href="http://stackoverflow.com/users/403310/matt-dowle"&gt;Matt Dowle&lt;/a&gt; holds a wealth of knowledge and is worth listening to for a variety of reasons. He has worked for some of the world’s largest financial organizations, holding positions at the focal point between money and data. He has been programming in R for well over a decade. He has lived the open source mantra, by not only consuming open source software but also releasing his own community contributions to CRAN. On top of those accomplishments, he’s also quite funny and spins a heck of a good yarn.&lt;/p&gt;</description></item></channel></rss>