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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>My Nikola Site</title><link>https://ryanpdwyer.github.io/</link><description>Ryan Dwyer's research and teaching website.</description><atom:link href="https://ryanpdwyer.github.io/rss.xml" rel="self" type="application/rss+xml"></atom:link><language>en</language><lastBuildDate>Tue, 16 Jul 2019 18:12:39 GMT</lastBuildDate><generator>Nikola (getnikola.com)</generator><docs>http://blogs.law.harvard.edu/tech/rss</docs><item><title>Test Jupyter Notebook</title><link>https://ryanpdwyer.github.io/posts/test-jupyter-notebook/</link><dc:creator>Ryan Dwyer</dc:creator><description>&lt;div&gt;&lt;div class="cell border-box-sizing text_cell rendered"&gt;&lt;div class="prompt input_prompt"&gt;
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&lt;h3 id="Some-jupyter-notebook-content"&gt;Some jupyter notebook content&lt;a class="anchor-link" href="https://ryanpdwyer.github.io/posts/test-jupyter-notebook/#Some-jupyter-notebook-content"&gt;¶&lt;/a&gt;&lt;/h3&gt;&lt;p&gt;Just a test. For example,&lt;/p&gt;
$$y \sim \mathcal{N}(\alpha x + \beta, \sigma)$$
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&lt;div class="prompt input_prompt"&gt;In [2]:&lt;/div&gt;
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&lt;div class=" highlight hl-ipython3"&gt;&lt;pre&gt;&lt;span&gt;&lt;/span&gt;&lt;span class="o"&gt;%&lt;/span&gt;&lt;span class="k"&gt;matplotlib&lt;/span&gt; inline
&lt;span class="kn"&gt;import&lt;/span&gt; &lt;span class="nn"&gt;numpy&lt;/span&gt; &lt;span class="k"&gt;as&lt;/span&gt; &lt;span class="nn"&gt;np&lt;/span&gt;
&lt;span class="kn"&gt;import&lt;/span&gt; &lt;span class="nn"&gt;matplotlib.pyplot&lt;/span&gt; &lt;span class="k"&gt;as&lt;/span&gt; &lt;span class="nn"&gt;plt&lt;/span&gt;
&lt;span class="n"&gt;np&lt;/span&gt;&lt;span class="o"&gt;.&lt;/span&gt;&lt;span class="n"&gt;random&lt;/span&gt;&lt;span class="o"&gt;.&lt;/span&gt;&lt;span class="n"&gt;seed&lt;/span&gt;&lt;span class="p"&gt;(&lt;/span&gt;&lt;span class="mi"&gt;1244455&lt;/span&gt;&lt;span class="p"&gt;)&lt;/span&gt;
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&lt;div class="prompt input_prompt"&gt;In [7]:&lt;/div&gt;
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&lt;div class=" highlight hl-ipython3"&gt;&lt;pre&gt;&lt;span&gt;&lt;/span&gt;&lt;span class="n"&gt;x&lt;/span&gt; &lt;span class="o"&gt;=&lt;/span&gt; &lt;span class="n"&gt;np&lt;/span&gt;&lt;span class="o"&gt;.&lt;/span&gt;&lt;span class="n"&gt;arange&lt;/span&gt;&lt;span class="p"&gt;(&lt;/span&gt;&lt;span class="o"&gt;-&lt;/span&gt;&lt;span class="mi"&gt;5&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt; &lt;span class="mi"&gt;5&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt; &lt;span class="n"&gt;dtype&lt;/span&gt;&lt;span class="o"&gt;=&lt;/span&gt;&lt;span class="n"&gt;np&lt;/span&gt;&lt;span class="o"&gt;.&lt;/span&gt;&lt;span class="n"&gt;float64&lt;/span&gt;&lt;span class="p"&gt;)&lt;/span&gt;
&lt;span class="n"&gt;y&lt;/span&gt; &lt;span class="o"&gt;=&lt;/span&gt; &lt;span class="n"&gt;x&lt;/span&gt; &lt;span class="o"&gt;*&lt;/span&gt; &lt;span class="mi"&gt;2&lt;/span&gt; &lt;span class="o"&gt;-&lt;/span&gt; &lt;span class="mi"&gt;3&lt;/span&gt; &lt;span class="o"&gt;+&lt;/span&gt; &lt;span class="n"&gt;np&lt;/span&gt;&lt;span class="o"&gt;.&lt;/span&gt;&lt;span class="n"&gt;random&lt;/span&gt;&lt;span class="o"&gt;.&lt;/span&gt;&lt;span class="n"&gt;randn&lt;/span&gt;&lt;span class="p"&gt;(&lt;/span&gt;&lt;span class="n"&gt;x&lt;/span&gt;&lt;span class="o"&gt;.&lt;/span&gt;&lt;span class="n"&gt;size&lt;/span&gt;&lt;span class="p"&gt;)&lt;/span&gt;&lt;span class="o"&gt;*&lt;/span&gt;&lt;span class="mf"&gt;2.0&lt;/span&gt;
&lt;span class="n"&gt;mb&lt;/span&gt; &lt;span class="o"&gt;=&lt;/span&gt; &lt;span class="n"&gt;np&lt;/span&gt;&lt;span class="o"&gt;.&lt;/span&gt;&lt;span class="n"&gt;polyfit&lt;/span&gt;&lt;span class="p"&gt;(&lt;/span&gt;&lt;span class="n"&gt;x&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt; &lt;span class="n"&gt;y&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt; &lt;span class="mi"&gt;1&lt;/span&gt;&lt;span class="p"&gt;)&lt;/span&gt;
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&lt;div class="prompt input_prompt"&gt;In [10]:&lt;/div&gt;
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&lt;div class=" highlight hl-ipython3"&gt;&lt;pre&gt;&lt;span&gt;&lt;/span&gt;&lt;span class="n"&gt;plt&lt;/span&gt;&lt;span class="o"&gt;.&lt;/span&gt;&lt;span class="n"&gt;plot&lt;/span&gt;&lt;span class="p"&gt;(&lt;/span&gt;&lt;span class="n"&gt;x&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt; &lt;span class="n"&gt;y&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt; &lt;span class="s1"&gt;'b.'&lt;/span&gt;&lt;span class="p"&gt;)&lt;/span&gt;
&lt;span class="n"&gt;plt&lt;/span&gt;&lt;span class="o"&gt;.&lt;/span&gt;&lt;span class="n"&gt;plot&lt;/span&gt;&lt;span class="p"&gt;(&lt;/span&gt;&lt;span class="n"&gt;x&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt; &lt;span class="n"&gt;np&lt;/span&gt;&lt;span class="o"&gt;.&lt;/span&gt;&lt;span class="n"&gt;polyval&lt;/span&gt;&lt;span class="p"&gt;(&lt;/span&gt;&lt;span class="n"&gt;mb&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt; &lt;span class="n"&gt;x&lt;/span&gt;&lt;span class="p"&gt;),&lt;/span&gt; &lt;span class="s1"&gt;'b-'&lt;/span&gt;&lt;span class="p"&gt;)&lt;/span&gt;
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    &lt;div class="prompt output_prompt"&gt;Out[10]:&lt;/div&gt;




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&lt;pre&gt;[&amp;lt;matplotlib.lines.Line2D at 0x10d301f60&amp;gt;]&lt;/pre&gt;
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r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"&gt;
&lt;/div&gt;

&lt;/div&gt;

&lt;/div&gt;
&lt;/div&gt;

&lt;/div&gt;&lt;/div&gt;</description><guid>https://ryanpdwyer.github.io/posts/test-jupyter-notebook/</guid><pubDate>Wed, 27 Jul 2016 02:40:23 GMT</pubDate></item><item><title>My first post</title><link>https://ryanpdwyer.github.io/posts/my-first-post/</link><dc:creator>Ryan Dwyer</dc:creator><description>&lt;p&gt;Write your post here.
This post now contains some &lt;span class="math"&gt;\(A = U \Sigma V^T\)&lt;/span&gt;.&lt;/p&gt;</description><guid>https://ryanpdwyer.github.io/posts/my-first-post/</guid><pubDate>Tue, 26 Jul 2016 21:34:32 GMT</pubDate></item><item><title>Welcome to Nikola</title><link>https://ryanpdwyer.github.io/posts/welcome-to-nikola/</link><dc:creator>Roberto Alsina</dc:creator><description>&lt;div&gt;&lt;div class="figure"&gt;
&lt;a class="reference external image-reference" href="https://farm1.staticflickr.com/138/352972944_4f9d568680_z.jpg?zz=1"&gt;&lt;img alt="Nikola Tesla Corner by nicwest, on Flickr" class="thumbnail" src="https://farm1.staticflickr.com/138/352972944_4f9d568680.jpg"&gt;&lt;/a&gt;
&lt;/div&gt;
&lt;p&gt;If you can see this in a web browser, it means you managed to install Nikola,
and build a site using it. Congratulations!&lt;/p&gt;
&lt;p&gt;Next steps:&lt;/p&gt;
&lt;ul class="simple"&gt;
&lt;li&gt;&lt;a class="reference external" href="https://ryanpdwyer.github.io/stories/handbook/"&gt;Read the manual&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="reference external" href="https://getnikola.com"&gt;Visit the Nikola website to learn more&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="reference external" href="https://ryanpdwyer.github.io/galleries/demo/"&gt;See a demo photo gallery&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="reference external" href="https://ryanpdwyer.github.io/stories/listings-demo/"&gt;See a demo listing&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="reference external" href="https://ryanpdwyer.github.io/stories/slides-demo/"&gt;See a demo slideshow&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="reference external" href="https://ryanpdwyer.github.io/stories/dr-nikolas-vendetta/"&gt;See a demo of a longer text&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Send feedback to &lt;a class="reference external" href="mailto:info@getnikola.com"&gt;info@getnikola.com&lt;/a&gt;!&lt;/p&gt;&lt;/div&gt;</description><category>blog</category><category>demo</category><category>nikola</category><category>python</category><guid>https://ryanpdwyer.github.io/posts/welcome-to-nikola/</guid><pubDate>Sat, 31 Mar 2012 02:00:00 GMT</pubDate></item></channel></rss>