<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>hadley on DataScience.LA</title><link>https://datasciencela.github.io/tag/hadley/</link><description>Recent content in hadley 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>Thu, 13 Oct 2022 00:02:41 -0700</lastBuildDate><atom:link href="https://datasciencela.github.io/tag/hadley/index.xml" rel="self" type="application/rss+xml"/><item><title>R Meetup with Hadley Wickham</title><link>https://datasciencela.github.io/r-meetup-with-hadley-wickham/</link><pubDate>Sat, 28 Oct 2017 12:57:13 -0700</pubDate><guid>https://datasciencela.github.io/r-meetup-with-hadley-wickham/</guid><description>&lt;p&gt;&lt;strong&gt;Update: Video of the 2nd half of the talk is here (1st half was not recorded, sorry):&lt;/strong&gt;&lt;/p&gt;&#10;&lt;p class="yt-unavailable"&gt;This video is no longer available on YouTube (&lt;a href="https://www.youtube.com/watch?v=6DcUNKBdHiQ"&gt;original link&lt;/a&gt;).&lt;/p&gt;&#10;&lt;p&gt;In our next meetup, we&amp;rsquo;ll have Hadley (I think no introduction needed).&lt;/p&gt;&#10;&lt;p&gt;&lt;strong&gt;Packages made easy&lt;/strong&gt;&lt;br&gt;&#10;&lt;strong&gt;by Hadley Wickham&lt;/strong&gt;&lt;/p&gt;</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://datasciencela.github.io/r-meetup-with-hadley-wickham/feature.png"/></item><item><title>Hadley Wickham presents dplyr at useR! 2014</title><link>https://datasciencela.github.io/hadley-wickham-presents-dplyr-at-user-2014/</link><pubDate>Mon, 13 Oct 2014 10:00:21 -0700</pubDate><guid>https://datasciencela.github.io/hadley-wickham-presents-dplyr-at-user-2014/</guid><description>&lt;p&gt;&lt;a href="https://datasciencela.github.io/a-conversation-with-hadley-wickham-the-user-2014-interview/"&gt;Hadley Wickham&lt;/a&gt; is hard at work, &lt;a href="http://blog.rstudio.org/2014/10/13/dplyr-0-3-2/"&gt;releasing packages&lt;/a&gt; which leverage the expressive power of R to keep easy things intuitive, and to make hard things possible. Having already developed a number of packages which address other steps in the data processing and analysis pipeline, he chose to address the process by which R developers ingest, manipulate, and transform data. This package, &lt;a href="http://blog.rstudio.org/2014/10/13/dplyr-0-3-2/"&gt;dplyr&lt;/a&gt;, is a narrowly focused library, designed to provide 90% of the functionality required in most data munging tasks. It may not solve every possible problem in data munging, but dplyr’s built in primitives will reduce your need to drop to “base R” for most common tasks. It does so by leveraging the &lt;a href="http://cran.r-project.org/web/packages/magrittr/vignettes/magrittr.html"&gt;magritr&lt;/a&gt; package’s “pipe” operator, and is inspired by dataflow programming constructs. It is fast, it is powerful, and it has been the single largest productivity boost that many of us here at DataScience.LA have adopted in 2014. In &lt;a href="https://www.youtube.com/watch?v=dWjSYqI7Vog"&gt;this video&lt;/a&gt;, Hadley provides a very quick introduction to the dplyr package, describing his philosophy behind the package’s design while providing a number of illustrative examples as to the flexibility, expressiveness, and power of this tool.&lt;/p&gt;</description></item><item><title>A Conversation with Hadley Wickham - the useR! 2014 interview</title><link>https://datasciencela.github.io/a-conversation-with-hadley-wickham-the-user-2014-interview/</link><pubDate>Wed, 06 Aug 2014 18:13:38 -0700</pubDate><guid>https://datasciencela.github.io/a-conversation-with-hadley-wickham-the-user-2014-interview/</guid><description>&lt;p&gt;&lt;a href="http://had.co.nz/"&gt;Hadley Wickham&lt;/a&gt; is famous. He&amp;rsquo;s not Kardashian famous, but walking around useR! and seeing the community&amp;rsquo;s reaction to him, there&amp;rsquo;s no question, he&amp;rsquo;s &amp;lsquo;R famous&amp;rsquo;. If you have the good fortune to see his talks, tutorials, or sessions in person, you owe it to yourself to do so. He projects depth and wisdom with a booming voice, which combines with a hard-won confidence brought about by years of honing his craft and developing his expertise. He takes as much time as is needed to answer questions, listens to every single bit of feedback and succeeds in making you feel that what you say indeed matters. Hadley Wickham has poise. It&amp;rsquo;s also quite obvious, if you watch him for long enough, that this fame suits him like an itchy sweater made by a loving grandparent. It brings warmth and it comes from a place of love, but it&amp;rsquo;s always a little uncomfortable regardless of how well it may fit.&lt;/p&gt;</description></item></channel></rss>