<?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>Libraries on Karpoke - Just Another Blog</title><link>http://karpoke.ignaciocano.com/tags/libraries/</link><description>Recent content in Libraries on Karpoke - Just Another Blog</description><generator>Hugo -- 0.167.0</generator><language>es</language><lastBuildDate>Sun, 11 Sep 2016 13:55:00 +0100</lastBuildDate><atom:link href="http://karpoke.ignaciocano.com/tags/libraries/index.xml" rel="self" type="application/rss+xml"/><item><title>datetime vs Arrow vs Pendulum vs Delorean vs udatetime</title><link>http://karpoke.ignaciocano.com/2016/09/11/datetime-vs-arrow-vs-pendulum-vs-delorean-vs-udatetime/</link><pubDate>Sun, 11 Sep 2016 13:55:00 +0100</pubDate><guid>http://karpoke.ignaciocano.com/2016/09/11/datetime-vs-arrow-vs-pendulum-vs-delorean-vs-udatetime/</guid><description>&lt;blockquote&gt;
&lt;p&gt;So I setup a benchmark, which can be found here to compare Python datetime,
Arrow, Pendulum, Delorean and udatetime on a performance level. I picked 4
typical performance critical operations to measure the speed of those
libraries.&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Decode a date-time string&lt;/li&gt;
&lt;li&gt;Encode (serialize) a date-time string&lt;/li&gt;
&lt;li&gt;Instantiate object with current time in UTC&lt;/li&gt;
&lt;li&gt;Instantiate object with current time in local timezone&lt;/li&gt;
&lt;li&gt;Instantiate object from timestamp in UTC&lt;/li&gt;
&lt;li&gt;Instantiate object from timestamp in local timezone&lt;/li&gt;
&lt;/ul&gt;
&lt;/blockquote&gt;
&lt;p&gt;» Simon Pirschel | &lt;a href="https://aboutsimon.com/blog/2016/08/04/datetime-vs-Arrow-vs-Pendulum-vs-Delorean-vs-udatetime.html"&gt;aboutsimon.com&lt;/a&gt;&lt;/p&gt;</description></item></channel></rss>