<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>David Palmquist on The Carpentries</title><link>https://deploy-preview-705--carpentries-website.netlify.app/blog/author/david-palmquist/</link><description>Recent content in David Palmquist on The Carpentries</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 18 Nov 2024 23:02:38 -0500</lastBuildDate><atom:link href="https://deploy-preview-705--carpentries-website.netlify.app/blog/author/david-palmquist/index.xml" rel="self" type="application/rss+xml"/><item><title>Library Carpentry Curriculum Advisory Committee Approves a Major Update to the LC Python Lesson</title><link>https://deploy-preview-705--carpentries-website.netlify.app/blog/2024/06/lc-python-update/</link><pubDate>Wed, 26 Jun 2024 00:00:00 +0000</pubDate><guid>https://deploy-preview-705--carpentries-website.netlify.app/blog/2024/06/lc-python-update/</guid><description>&lt;h3 id="introduction">Introduction&lt;/h3>
&lt;p>We are excited to announce that the Library Carpentry Curriculum Advisory Committee (LC-CAC) has approved a major update to the &lt;a href="https://librarycarpentry.org/lc-python-intro/">Python Intro for Libraries lesson&lt;/a>.&lt;/p>
&lt;p>The lesson demonstrates how to use Python to clean, analyse, and visualise library usage data, providing an introduction to reproducible workflows in Python for library and information workers. While the lesson repurposes some elements from the previous Library Carpentry Introduction to Python, it is a major overhaul that includes a new library-specific dataset, the use of JupyterLab instead of Spyder, and new episodes that use Pandas to tidy a dataset and Plotly to visualise data.&lt;/p></description></item><item><title>Image Processing with Python - Call for Beta Pilot Applications</title><link>https://deploy-preview-705--carpentries-website.netlify.app/blog/2022/05/image-processing-beta-announcement/</link><pubDate>Thu, 19 May 2022 00:00:00 +0000</pubDate><guid>https://deploy-preview-705--carpentries-website.netlify.app/blog/2022/05/image-processing-beta-announcement/</guid><description>&lt;p>The &lt;a href="https://datacarpentry.org/image-processing/">Data Carpentry: &lt;em>Image Processing with Python&lt;/em>&lt;/a> curriculum is ready for beta testing.
First developed for &lt;a href="https://web.doane.edu/Colleges-Divisions-Programs/College-of-arts-sciences/Science-Mathematics-and-information-science-and-technology/Biology-Department/Divas-Project">the &lt;em>Digital Imaging and Vision Applications in Science (DIVAS)&lt;/em>&lt;/a> project,
the lesson has already been through several iterations and pilot workshops.
The curriculum is now ready for testing by the Instructor community,
with the goal of preparing a full release within the next 12 months.&lt;/p>
&lt;p>&lt;strong>We are seeking community members to host and teach beta pilot workshops
with the &lt;em>Image Processing with Python&lt;/em> curriculum in July - October 2022.&lt;/strong>
Continue reading for more information on the curriculum,
the previous alpha pilot workshops,
and how to apply to host and/or teach a beta pilot.&lt;/p></description></item></channel></rss>