<div>
  <div>Michael Berk interviews Ken Youens-Clark today to discuss various topics including bioinformatics and programming, plus his career progressions including jazz drumming, technical writing, programming, academia, writing books, and solutions engineering.  <br><br>
</div><h1>In this episode…</h1><div><br></div><ul>
<li>Writing tests and type annotations</li>
<li>Project development lifecycle</li>
<li>Grading programmers with pass / fail</li>
<li>Soft skills within the industry</li>
<li>Bioinformatics and computer science</li>
<li>Prototyping and improving efficiencies</li>
</ul><div>Connect with Ken Youens-Clark via <a href="mailto:kyclark@gmail.com" rel="nofollow">email</a> and <a href="https://www.linkedin.com/in/kycl4rk/" rel="nofollow">LinkedIn</a><br><br>
</div><h1>Sponsors</h1><ul>
<li><a href="https://topenddevs.com/" rel="nofollow">Top End Devs</a></li>
<li><a href="https://topenddevs.com/coaching" rel="nofollow">Coaching | Top End Devs</a></li>
</ul><div><br></div><h1>Links</h1><ul>
<li><a href="https://www.oreilly.com/library/view/mastering-python-for/9781098100872/" rel="nofollow">Mastering Python for Bioinformatics</a></li>
<li><a href="https://amzn.to/3Q4GfEQ" rel="nofollow">Command-Line Rust</a></li>
<li><a href="https://github.com/kyclark/command-line-rust" rel="nofollow">GitHub - kyclark/command-line-rust</a></li>
<li><a href="https://www.linkedin.com/in/kycl4rk/" rel="nofollow">LinkedIn: Ken Youens-Clark</a></li>
<li><a href="https://github.com/kyclark" rel="nofollow">GitHub: kyclark</a></li>
</ul>
</div>

<br/><br/>Advertising Inquiries: <a href='https://redcircle.com/brands'>https://redcircle.com/brands</a><br/><br/>Privacy & Opt-Out: <a href='https://redcircle.com/privacy'>https://redcircle.com/privacy</a>

Leveling Up in your Data Science Career with Adam Ross Nelson - ML 083

Machine Learning is growing in leaps and bounds both in capability and adoption. Listen to our experts discuss the ideas and fundamentals needed to succeed as a Machine Learning Engineer.Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.