How to Contribute to Open Source Software and Build Your Portfolio with Kari Jordan of The Carpentries

<p>How to Contribute to Open Source Software and Build Your Portfolio with <strong>Kari Jordan</strong> of The Carpentries</p><p><br></p><p><u>Episode Show Notes:</u></p><ul><li>Dr. Kari Jordan is the Executive Director of The Carpentries</li><li>The Carpentries is currently fundraising, and you can <a href="https://carpentries.wedid.it/campaigns/8261" rel="nofollow">contribute to their campaign here</a>.</li><li>Kari&#39;s work focuses on STEM and STEAM audiences</li><li><a href="https://carpentries.org/" rel="nofollow">The Carpentries</a> now offers fully online programs</li><li>All the curriculum at The Carpentries is Open Source</li><li>The Carpentries is actively accepting new contributors for maintaining open source code</li></ul><p><br></p><p><u>On HumAIn:</u></p><ul><li>You could sponsor today&#39;s episode. Learn about your <a href="http://www.humainpodcast.com/advertise/" rel="nofollow">ad-choices</a>.</li><li>Show your support for HumAIn with a <a href="http://www.humainpodcast.com/membership" rel="nofollow">monthly membership</a>.</li><li>Receive subscriber-only content with our <a href="http://humainpodcast.com/listen" rel="nofollow">newsletter</a>.</li><li>Visit us online and learn about our <a href="https://www.humainpodcast.com/reports/" rel="nofollow">trend reports</a> on technology trends and how to bounce back from COVID-19 unemployment.</li></ul><p><br></p><p><strong>About HumAIn Podcast:</strong></p><p>The HumAIn Podcast is a leading artificial intelligence podcast that explores the topics of AI, data science, future of work, and developer education for technologists. Whether you are an Executive, data scientist, software engineer, product manager, or student-in-training, HumAIn connects you with industry thought leaders on the technology trends that are relevant and practical. HumAIn is a leading data science podcast where frequently discussed topics include ai trends, ai for all, computer vision, natural language processing, machine learning, data science, and reskilling and upskilling for