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    <title>Teaching Python - Episodes Tagged with “Scratch”</title>
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    <pubDate>Tue, 01 Dec 2020 01:00:00 -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 56: AI and Machine Learning for Kids with Dale Lane (@dalelane)</title>
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  <pubDate>Tue, 01 Dec 2020 01:00:00 -0500</pubDate>
  <author>Sean Tibor and Kelly Paredes</author>
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  <itunes:episode>56</itunes:episode>
  <itunes:title>AI and Machine Learning for Kids with Dale Lane (@dalelane)</itunes:title>
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  <itunes:author>Sean Tibor and Kelly Paredes</itunes:author>
  <itunes:subtitle>In this episode, Kelly and Sean talk with Dale Lane an IBM Event Streams Lead Developer. - IBM awarded Dale, the 2018 IBM Volunteer Excellence Award—the highest form of volunteer recognition given by the company—which also earned a USD 10,000 grant from IBM for Solent Youth Action.</itunes:subtitle>
  <itunes:duration>39:24</itunes:duration>
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  <description>&lt;p&gt;In this episode, Kelly and Sean talk with Dale Lane an IBM Event Streams Lead Developer. - IBM awarded Dale, the 2018 IBM Volunteer Excellence Award—the highest form of volunteer recognition given by the company—which also earned a USD 10,000 grant from IBM for Solent Youth Action.&lt;/p&gt;

&lt;p&gt;“Machine learning systems are all around us. We all use, interact with, or are affected by, machine learning systems every day. If our goal is to help children to understand how the world around them works, then understanding machine learning is an important topic. Also, the impact machine learning systems will have on our lives will only continue to increase. There is a growing need for society to make decisions about how we want such systems to be managed, controlled, and regulated. Understanding machine learning is an essential topic to help the next generation engage in that societal debate.”&lt;br&gt;
Dale Lane IBM Interview&lt;br&gt;
 Special Guest: Dale Lane.&lt;/p&gt;
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  <itunes:keywords>artificial intelligence, machine learning, ai, python, scratch</itunes:keywords>
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    <![CDATA[<p>In this episode, Kelly and Sean talk with Dale Lane an IBM Event Streams Lead Developer. - IBM awarded Dale, the 2018 IBM Volunteer Excellence Award—the highest form of volunteer recognition given by the company—which also earned a USD 10,000 grant from IBM for Solent Youth Action.</p>

<p>“Machine learning systems are all around us. We all use, interact with, or are affected by, machine learning systems every day. If our goal is to help children to understand how the world around them works, then understanding machine learning is an important topic. Also, the impact machine learning systems will have on our lives will only continue to increase. There is a growing need for society to make decisions about how we want such systems to be managed, controlled, and regulated. Understanding machine learning is an essential topic to help the next generation engage in that societal debate.”<br>
Dale Lane IBM Interview</p><p>Special Guest: Dale Lane.</p><p><a rel="payment" href="https://www.patreon.com/teachingpython">Support Teaching Python</a></p><p>Links:</p><ul><li><a title="Machine Learning for Kids" rel="nofollow" href="https://machinelearningforkids.co.uk/">Machine Learning for Kids
</a> &mdash; This free tool introduces machine learning by providing hands-on experiences for training machine learning systems and building things with them.
</li><li><a title="You Look Like a Thing and I Love You: How Artificial Intelligence Works and Why It&#39;s Making the World a Weirder Place: Shane, Janelle: 9780316525244: Amazon.com: Books" rel="nofollow" href="https://www.amazon.com/dp/0316525243/ref=nosim?tag=teachingpython-20">You Look Like a Thing and I Love You: How Artificial Intelligence Works and Why It's Making the World a Weirder Place: Shane, Janelle: 9780316525244: Amazon.com: Books
</a> &mdash; "You look like a thing and I love you" is one of the best pickup lines ever... according to an artificial intelligence trained by scientist Janelle Shane, creator of the popular blog AI Weirdness. She creates silly AIs that learn how to name paint colors, create the best recipes, and even flirt (badly) with humans--all to understand the technology that governs so much of our daily lives.
</li><li><a title="Amazon.com: Explain the Cloud Like I&#39;m 10 (9780979707117): Hoff, Todd: Books" rel="nofollow" href="https://www.amazon.com/dp/0979707110/ref=nosim?tag=teachingpython-20">Amazon.com: Explain the Cloud Like I'm 10 (9780979707117): Hoff, Todd: Books
</a> &mdash; What is the cloud? Discover the secrets of the cloud through simple explanations that use lots of pictures and lots of examples.

Why learn about the cloud? It's the future. The cloud is the future of software, the future of computing, and the future of business. If you're not up on the cloud the future will move on without you. Don't miss out.

Not a geek? Don't worry. I wrote this book for you! After reading Explain Cloud Like I'm 10,
</li></ul>]]>
  </content:encoded>
  <itunes:summary>
    <![CDATA[<p>In this episode, Kelly and Sean talk with Dale Lane an IBM Event Streams Lead Developer. - IBM awarded Dale, the 2018 IBM Volunteer Excellence Award—the highest form of volunteer recognition given by the company—which also earned a USD 10,000 grant from IBM for Solent Youth Action.</p>

<p>“Machine learning systems are all around us. We all use, interact with, or are affected by, machine learning systems every day. If our goal is to help children to understand how the world around them works, then understanding machine learning is an important topic. Also, the impact machine learning systems will have on our lives will only continue to increase. There is a growing need for society to make decisions about how we want such systems to be managed, controlled, and regulated. Understanding machine learning is an essential topic to help the next generation engage in that societal debate.”<br>
Dale Lane IBM Interview</p><p>Special Guest: Dale Lane.</p><p><a rel="payment" href="https://www.patreon.com/teachingpython">Support Teaching Python</a></p><p>Links:</p><ul><li><a title="Machine Learning for Kids" rel="nofollow" href="https://machinelearningforkids.co.uk/">Machine Learning for Kids
</a> &mdash; This free tool introduces machine learning by providing hands-on experiences for training machine learning systems and building things with them.
</li><li><a title="You Look Like a Thing and I Love You: How Artificial Intelligence Works and Why It&#39;s Making the World a Weirder Place: Shane, Janelle: 9780316525244: Amazon.com: Books" rel="nofollow" href="https://www.amazon.com/dp/0316525243/ref=nosim?tag=teachingpython-20">You Look Like a Thing and I Love You: How Artificial Intelligence Works and Why It's Making the World a Weirder Place: Shane, Janelle: 9780316525244: Amazon.com: Books
</a> &mdash; "You look like a thing and I love you" is one of the best pickup lines ever... according to an artificial intelligence trained by scientist Janelle Shane, creator of the popular blog AI Weirdness. She creates silly AIs that learn how to name paint colors, create the best recipes, and even flirt (badly) with humans--all to understand the technology that governs so much of our daily lives.
</li><li><a title="Amazon.com: Explain the Cloud Like I&#39;m 10 (9780979707117): Hoff, Todd: Books" rel="nofollow" href="https://www.amazon.com/dp/0979707110/ref=nosim?tag=teachingpython-20">Amazon.com: Explain the Cloud Like I'm 10 (9780979707117): Hoff, Todd: Books
</a> &mdash; What is the cloud? Discover the secrets of the cloud through simple explanations that use lots of pictures and lots of examples.

Why learn about the cloud? It's the future. The cloud is the future of software, the future of computing, and the future of business. If you're not up on the cloud the future will move on without you. Don't miss out.

Not a geek? Don't worry. I wrote this book for you! After reading Explain Cloud Like I'm 10,
</li></ul>]]>
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