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    <title>Teaching Python - Episodes Tagged with “Adult Education”</title>
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    <pubDate>Tue, 05 Nov 2019 00:00:00 -0500</pubDate>
    <description>Teaching Python is a podcast about Python programming, computer science education, AI literacy, software development, cloud computing, cybersecurity, data, and how people learn technical skills. Hosted by Kelly Schuster-Paredes, Sean Tibor, and Julian Sequeira, the show is for educators, developers, technology leaders, and lifelong learners who want to better understand how Python connects to the wider world of computing. Episodes explore not only how people learn to code, but also how they build technical judgment, understand systems, evaluate AI-generated code, work with data, think about security, and move from beginner programming into real-world software development. About the Hosts Kelly Schuster-Paredes is a teacher who codes whose work has expanded from classroom computer science into AI strategy, curriculum design, professional learning, educational technology, and responsible technology adoption. Her background in Python and computer science education shapes her focus on learning, AI literacy, computational thinking, and what people need to understand in an AI-shaped world. Sean Tibor is Vice President of Infrastructure and Cloud at Pfizer and a former computer science teacher. He brings expertise in cloud computing, infrastructure, engineering operations, and technical leadership, connecting what people learn about computing with how large-scale systems are actually built, operated, secured, and maintained. Julian Sequiera is a technologist, Fractional CTO, and Senior Program Manager with more than 20 years of experience in infrastructure, cloud, engineering operations, and large-scale technology programs. He is also the co-founder of PyBites, a Python learning platform and community that has helped thousands of developers improve their Python and software development skills. What We Cover Python Programming and Computer Science Education: Learning Python, teaching programming, computational thinking, debugging, code literacy, and helping beginners build strong mental models. AI and AI Literacy: AI-assisted programming, evaluating AI-generated code, responsible AI use, human judgment, and what learners still need to understand when AI can produce code. Cloud, Infrastructure, and Cybersecurity: Systems, networks, deployment, security, reliability, architecture, and the operational side of software. Data and Software Engineering: APIs, databases, testing, maintainability, version control, software design, and moving from simple scripts to real-world applications. Learning and Technical Growth: How people learn difficult technical concepts, get unstuck, build confidence, and develop the judgment needed to use technology well. Expert Interviews: Conversations with educators, developers, engineers, researchers, technology leaders, and others shaping the future of computing and technical education. Teaching Python remains grounded in Python, but the conversation extends beyond syntax. The podcast explores the knowledge, skills, systems, and judgment people need to learn, build, and make responsible decisions with technology.</description>
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    <itunes:subtitle>We're two computer science educators learning and teaching Python</itunes:subtitle>
    <itunes:author>Sean Tibor and Kelly Paredes</itunes:author>
    <itunes:summary>Teaching Python is a podcast about Python programming, computer science education, AI literacy, software development, cloud computing, cybersecurity, data, and how people learn technical skills. Hosted by Kelly Schuster-Paredes, Sean Tibor, and Julian Sequeira, the show is for educators, developers, technology leaders, and lifelong learners who want to better understand how Python connects to the wider world of computing. Episodes explore not only how people learn to code, but also how they build technical judgment, understand systems, evaluate AI-generated code, work with data, think about security, and move from beginner programming into real-world software development. About the Hosts Kelly Schuster-Paredes is a teacher who codes whose work has expanded from classroom computer science into AI strategy, curriculum design, professional learning, educational technology, and responsible technology adoption. Her background in Python and computer science education shapes her focus on learning, AI literacy, computational thinking, and what people need to understand in an AI-shaped world. Sean Tibor is Vice President of Infrastructure and Cloud at Pfizer and a former computer science teacher. He brings expertise in cloud computing, infrastructure, engineering operations, and technical leadership, connecting what people learn about computing with how large-scale systems are actually built, operated, secured, and maintained. Julian Sequiera is a technologist, Fractional CTO, and Senior Program Manager with more than 20 years of experience in infrastructure, cloud, engineering operations, and large-scale technology programs. He is also the co-founder of PyBites, a Python learning platform and community that has helped thousands of developers improve their Python and software development skills. What We Cover Python Programming and Computer Science Education: Learning Python, teaching programming, computational thinking, debugging, code literacy, and helping beginners build strong mental models. AI and AI Literacy: AI-assisted programming, evaluating AI-generated code, responsible AI use, human judgment, and what learners still need to understand when AI can produce code. Cloud, Infrastructure, and Cybersecurity: Systems, networks, deployment, security, reliability, architecture, and the operational side of software. Data and Software Engineering: APIs, databases, testing, maintainability, version control, software design, and moving from simple scripts to real-world applications. Learning and Technical Growth: How people learn difficult technical concepts, get unstuck, build confidence, and develop the judgment needed to use technology well. Expert Interviews: Conversations with educators, developers, engineers, researchers, technology leaders, and others shaping the future of computing and technical education. Teaching Python remains grounded in Python, but the conversation extends beyond syntax. The podcast explores the knowledge, skills, systems, and judgment people need to learn, build, and make responsible decisions with technology.</itunes:summary>
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    <itunes:keywords>Python, Python programming, learn Python, teaching Python, computer science education, coding education, programming for beginners, Python for beginners, computational thinking, code literacy, debugging, software development, software engineering, data science, artificial intelligence, AI literacy, AI-assisted coding, generative AI, machine learning, cybersecurity, cloud computing, cloud infrastructure, APIs, databases, systems thinking, technical education, STEM education, educational technology, edtech, curriculum design, instructional design, professional learning, teacher professional development, coding for students, computer science curriculum, physical computing, robotics, responsible AI, digital literacy, data literacy, technology leadership, developer education, technical coaching, lifelong learning, learning to code, teaching programming, real-world programming, coding with AI, Python podcast, computer science podcast, technology education podcast, programming podcast</itunes:keywords>
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      <itunes:name>Sean Tibor and Kelly Paredes</itunes:name>
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  <title>Episode 30: Teaching Adult Learners</title>
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  <pubDate>Tue, 05 Nov 2019 00:00:00 -0500</pubDate>
  <author>Sean Tibor and Kelly Paredes</author>
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  <itunes:episode>30</itunes:episode>
  <itunes:title>Teaching Adult Learners</itunes:title>
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  <itunes:author>Sean Tibor and Kelly Paredes</itunes:author>
  <itunes:subtitle>In this episode, Kelly and Sean speak to Reuven Lerner about how to teach adult learners and people switching to Python from other languages. Reuven is a corporate trainer of Python and Data Science. He helps developers around the world learn how to code in Python. As fellow teachers, we dive into the similarities and differences of teaching adults versus students. What works? What is new and interesting?</itunes:subtitle>
  <itunes:duration>55:39</itunes:duration>
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  <description>&lt;p&gt;In this episode, Kelly and Sean speak to Reuven Lerner about how to teach adult learners and people switching to Python from other languages. Reuven is a corporate trainer of Python and Data Science. He helps developers around the world learn how to code in Python. As fellow teachers, we dive into the similarities and differences of teaching adults versus students. What works? What is new and interesting?&lt;/p&gt;

&lt;p&gt;Our guest, Reuven Lerner, is a full-time Python trainer. In a given year, he teaches courses at companies in the United States, Europe, Israel, and China — as well as to people around the world, via his online courses.&lt;/p&gt;

&lt;p&gt;Reuven created one of &lt;a href="https://tech.mit.edu" rel="nofollow noopener"&gt;the first 100 Web sites in the world&lt;/a&gt; just after graduating from MIT’s computer science department. He opened Lerner Consulting in 1995, and has been offering training services since 1996.&lt;/p&gt;

&lt;p&gt;Reuven’s monthly column has appeared in &lt;a href="https://linuxjournal.com/" rel="nofollow noopener"&gt;Linux Journal&lt;/a&gt; since 1996, and was a panelist on the Freelancers Show podcast from 2015 - 2019. He is also the CTO of &lt;a href="https://rentlikeachampion.com/" rel="nofollow noopener"&gt;Rent Like a Champion&lt;/a&gt;, an event-based home-rental company based in Chicago, Illinois.&lt;/p&gt;

&lt;p&gt;Reuven’s most recent book is “&lt;a href="https://www.manning.com/books/python-workout" rel="nofollow noopener"&gt;Python Workout&lt;/a&gt;,” a collection of Python exercises with extensive explanations, published by Manning.&lt;/p&gt;

&lt;p&gt;Reuven’s free, weekly “&lt;a href="https://lerner.co.il/newsletter" rel="nofollow noopener"&gt;Better Developers&lt;/a&gt;” newsletter, about Python and software engineering, is read by more than 10,000 developers around the globe. His “&lt;a href="https://lerner.co.il/trainer-weekly/" rel="nofollow noopener"&gt;Trainer weekly&lt;/a&gt;” newsletter is similarly popular among people who give corporate training.&lt;/p&gt;

&lt;p&gt;Reuven has a bachelor’s degree in computer science and engineering from MIT, and a PhD in learning sciences from Northwestern University. He lives in Modi’in, Israel with his wife and three children.&lt;/p&gt;
</description>
  <itunes:keywords>python, teaching, adult education, programming</itunes:keywords>
  <content:encoded>
    <![CDATA[<p>In this episode, Kelly and Sean speak to Reuven Lerner about how to teach adult learners and people switching to Python from other languages. Reuven is a corporate trainer of Python and Data Science. He helps developers around the world learn how to code in Python. As fellow teachers, we dive into the similarities and differences of teaching adults versus students. What works? What is new and interesting?</p>

<p>Our guest, Reuven Lerner, is a full-time Python trainer. In a given year, he teaches courses at companies in the United States, Europe, Israel, and China — as well as to people around the world, via his online courses.</p>

<p>Reuven created one of <a href="https://tech.mit.edu" rel="nofollow noopener">the first 100 Web sites in the world</a> just after graduating from MIT’s computer science department. He opened Lerner Consulting in 1995, and has been offering training services since 1996.</p>

<p>Reuven’s monthly column has appeared in <a href="https://linuxjournal.com/" rel="nofollow noopener">Linux Journal</a> since 1996, and was a panelist on the Freelancers Show podcast from 2015 - 2019. He is also the CTO of <a href="https://rentlikeachampion.com/" rel="nofollow noopener">Rent Like a Champion</a>, an event-based home-rental company based in Chicago, Illinois.</p>

<p>Reuven’s most recent book is “<a href="https://www.manning.com/books/python-workout" rel="nofollow noopener">Python Workout</a>,” a collection of Python exercises with extensive explanations, published by Manning.</p>

<p>Reuven’s free, weekly “<a href="https://lerner.co.il/newsletter" rel="nofollow noopener">Better Developers</a>” newsletter, about Python and software engineering, is read by more than 10,000 developers around the globe. His “<a href="https://lerner.co.il/trainer-weekly/" rel="nofollow noopener">Trainer weekly</a>” newsletter is similarly popular among people who give corporate training.</p>

<p>Reuven has a bachelor’s degree in computer science and engineering from MIT, and a PhD in learning sciences from Northwestern University. He lives in Modi’in, Israel with his wife and three children.</p><p><a rel="payment" href="https://www.patreon.com/teachingpython">Support Teaching Python</a></p><p>Links:</p><ul><li><a title="Learning Bayesian Statistics" rel="nofollow" href="https://learnbayesstats.anvil.app/">Learning Bayesian Statistics
</a> &mdash; Are you a researcher or data scientist/analyst/ninja? Do you want to learn Bayesian inference, stay up to date or simply want to understand what Bayesian inference is? 

Well I'm just like you! When I started learning Bayesian methods, I really wished there were a podcast out there that could introduce me to the methods, the projects and the people who make all that possible.

So I created "Learning Bayesian Statistics", a fortnightly podcast where I interview researchers and practitioners of all fields about why and how they use Bayesian statistics, how they came to these methods, and what their projects and challenges are. 

My name is Alexandre Andorra by the way. I live in Paris and I’m a data scientist, passionate (and learning) Bayesian, and elections-forecasting enthusiast.
</li><li><a title="Weekly Python Exercise: Advanced topics 3" rel="nofollow" href="https://store.lerner.co.il/wpe-b3">Weekly Python Exercise: Advanced topics 3
</a> &mdash; Become the fastest, most proficient Python programmer at your company.

What career opportunities would you have if you were a top 1% Python developer?&nbsp;

Maybe you already have a decent understanding of it...

...but wouldn’t you rather know exactly what to code in every situation? To just “know” how to solve any problem off the top of your head, without spending hours scouring Stack Overflow or Google and rarely finding solutions that make sense?
</li><li><a title="Python for EV3" rel="nofollow" href="https://education.lego.com/en-us/support/mindstorms-ev3/python-for-ev3">Python for EV3
</a></li></ul>]]>
  </content:encoded>
  <itunes:summary>
    <![CDATA[<p>In this episode, Kelly and Sean speak to Reuven Lerner about how to teach adult learners and people switching to Python from other languages. Reuven is a corporate trainer of Python and Data Science. He helps developers around the world learn how to code in Python. As fellow teachers, we dive into the similarities and differences of teaching adults versus students. What works? What is new and interesting?</p>

<p>Our guest, Reuven Lerner, is a full-time Python trainer. In a given year, he teaches courses at companies in the United States, Europe, Israel, and China — as well as to people around the world, via his online courses.</p>

<p>Reuven created one of <a href="https://tech.mit.edu" rel="nofollow noopener">the first 100 Web sites in the world</a> just after graduating from MIT’s computer science department. He opened Lerner Consulting in 1995, and has been offering training services since 1996.</p>

<p>Reuven’s monthly column has appeared in <a href="https://linuxjournal.com/" rel="nofollow noopener">Linux Journal</a> since 1996, and was a panelist on the Freelancers Show podcast from 2015 - 2019. He is also the CTO of <a href="https://rentlikeachampion.com/" rel="nofollow noopener">Rent Like a Champion</a>, an event-based home-rental company based in Chicago, Illinois.</p>

<p>Reuven’s most recent book is “<a href="https://www.manning.com/books/python-workout" rel="nofollow noopener">Python Workout</a>,” a collection of Python exercises with extensive explanations, published by Manning.</p>

<p>Reuven’s free, weekly “<a href="https://lerner.co.il/newsletter" rel="nofollow noopener">Better Developers</a>” newsletter, about Python and software engineering, is read by more than 10,000 developers around the globe. His “<a href="https://lerner.co.il/trainer-weekly/" rel="nofollow noopener">Trainer weekly</a>” newsletter is similarly popular among people who give corporate training.</p>

<p>Reuven has a bachelor’s degree in computer science and engineering from MIT, and a PhD in learning sciences from Northwestern University. He lives in Modi’in, Israel with his wife and three children.</p><p><a rel="payment" href="https://www.patreon.com/teachingpython">Support Teaching Python</a></p><p>Links:</p><ul><li><a title="Learning Bayesian Statistics" rel="nofollow" href="https://learnbayesstats.anvil.app/">Learning Bayesian Statistics
</a> &mdash; Are you a researcher or data scientist/analyst/ninja? Do you want to learn Bayesian inference, stay up to date or simply want to understand what Bayesian inference is? 

Well I'm just like you! When I started learning Bayesian methods, I really wished there were a podcast out there that could introduce me to the methods, the projects and the people who make all that possible.

So I created "Learning Bayesian Statistics", a fortnightly podcast where I interview researchers and practitioners of all fields about why and how they use Bayesian statistics, how they came to these methods, and what their projects and challenges are. 

My name is Alexandre Andorra by the way. I live in Paris and I’m a data scientist, passionate (and learning) Bayesian, and elections-forecasting enthusiast.
</li><li><a title="Weekly Python Exercise: Advanced topics 3" rel="nofollow" href="https://store.lerner.co.il/wpe-b3">Weekly Python Exercise: Advanced topics 3
</a> &mdash; Become the fastest, most proficient Python programmer at your company.

What career opportunities would you have if you were a top 1% Python developer?&nbsp;

Maybe you already have a decent understanding of it...

...but wouldn’t you rather know exactly what to code in every situation? To just “know” how to solve any problem off the top of your head, without spending hours scouring Stack Overflow or Google and rarely finding solutions that make sense?
</li><li><a title="Python for EV3" rel="nofollow" href="https://education.lego.com/en-us/support/mindstorms-ev3/python-for-ev3">Python for EV3
</a></li></ul>]]>
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