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    <title>Teaching Python - Episodes Tagged with “Computation”</title>
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    <pubDate>Thu, 12 May 2022 00:00:00 -0400</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 90: Equitable Learning</title>
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  <pubDate>Thu, 12 May 2022 00:00:00 -0400</pubDate>
  <author>Sean Tibor and Kelly Paredes</author>
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  <itunes:episode>90</itunes:episode>
  <itunes:title>Equitable Learning</itunes:title>
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  <itunes:author>Sean Tibor and Kelly Paredes</itunes:author>
  <itunes:subtitle>We welcome David Cavallo an entrepreneur in using technologies to improve learning and promote social equitable development. Our topic this week is computation learning and the reasons and methods for it.</itunes:subtitle>
  <itunes:duration>56:09</itunes:duration>
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  <description>&lt;p&gt;We welcome David Cavallo an entrepreneur in using technologies to improve learning and promote social equitable development. Our topic this week is equitable computation learning and the reasons and methods for it.&lt;/p&gt;&lt;p&gt;Special Guest: David Cavallo.&lt;/p&gt;</description>
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    <![CDATA[<p>We welcome David Cavallo an entrepreneur in using technologies to improve learning and promote social equitable development. Our topic this week is equitable computation learning and the reasons and methods for it.</p><p>Special Guest: David Cavallo.</p><p><a rel="payment" href="https://www.patreon.com/teachingpython">Support Teaching Python</a></p><p>Links:</p><ul><li><a title="Amazon - Twenty Things to Do with a Computer Forward 50: Future Visions of Education Inspired by Seymour Papert and Cynthia Solomon’s Seminal Work: Stager, Gary S., Solomon, Cynthia: 9781955604000: Books" rel="nofollow" href="https://www.amazon.com/dp/1955604002/ref=nosim?tag=teachingpython-20">Amazon - Twenty Things to Do with a Computer Forward 50: Future Visions of Education Inspired by Seymour Papert and Cynthia Solomon’s Seminal Work: Stager, Gary S., Solomon, Cynthia: 9781955604000: Books
</a> &mdash; In 1971, Cynthia Solomon and Seymour Papert published Twenty Things to Do with a Computer, a revolutionary document that would set the course of education for the next fifty years and beyond. This book, Twenty Things to Do with a Computer Forward 50, is a celebration of the vision set forth by Papert and Solomon a half-century ago.
</li><li><a title="The Honor Code: How Moral Revolutions Happen - Kindle edition by Appiah, Kwame Anthony. Politics &amp; Social Sciences Kindle eBooks @ Amazon.com." rel="nofollow" href="https://www.amazon.com/dp/B00403NO3I/ref=nosim?tag=teachingpython-20">The Honor Code: How Moral Revolutions Happen - Kindle edition by Appiah, Kwame Anthony. Politics &amp; Social Sciences Kindle eBooks @ Amazon.com.
</a> &mdash; In this groundbreaking work, Kwame Anthony Appiah, hailed as "one of the most relevant philosophers today" (New York Times Book Review), changes the way we understand human behavior and the way social reform is brought about. In brilliantly arguing that new democratic movements over the last century have not been driven by legislation from above, Appiah explores the end of the duel in aristocratic England, the tumultuous struggles over footbinding in nineteenth-century China, the uprising of ordinary people against Atlantic slavery, and the horrors of "honor killing" in contemporary Pakistan. 
</li><li><a title="One Laptop per Child - Wikipedia" rel="nofollow" href="https://en.wikipedia.org/wiki/One_Laptop_per_Child">One Laptop per Child - Wikipedia
</a> &mdash; One Laptop per Child (OLPC) was a non-profit initiative established with the goal of transforming education for children around the world; this goal was to be achieved by creating and distributing educational devices for the developing world, and by creating software and content for those devices.
</li><li><a title="The Math(s) Fix: An Education Blueprint for the AI Age , Wolfram, Conrad - Amazon.com" rel="nofollow" href="https://www.amazon.com/dp/B088TTFTDR/ref=nosim?tag=teachingpython-20">The Math(s) Fix: An Education Blueprint for the AI Age , Wolfram, Conrad - Amazon.com
</a> &mdash; The Math(s) Fix: An Education Blueprint for the AI Age is a groundbreaking book that exposes why maths education is in crisis worldwide and how the only fix is a fundamentally new mainstream subject.
</li></ul>]]>
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  <itunes:summary>
    <![CDATA[<p>We welcome David Cavallo an entrepreneur in using technologies to improve learning and promote social equitable development. Our topic this week is equitable computation learning and the reasons and methods for it.</p><p>Special Guest: David Cavallo.</p><p><a rel="payment" href="https://www.patreon.com/teachingpython">Support Teaching Python</a></p><p>Links:</p><ul><li><a title="Amazon - Twenty Things to Do with a Computer Forward 50: Future Visions of Education Inspired by Seymour Papert and Cynthia Solomon’s Seminal Work: Stager, Gary S., Solomon, Cynthia: 9781955604000: Books" rel="nofollow" href="https://www.amazon.com/dp/1955604002/ref=nosim?tag=teachingpython-20">Amazon - Twenty Things to Do with a Computer Forward 50: Future Visions of Education Inspired by Seymour Papert and Cynthia Solomon’s Seminal Work: Stager, Gary S., Solomon, Cynthia: 9781955604000: Books
</a> &mdash; In 1971, Cynthia Solomon and Seymour Papert published Twenty Things to Do with a Computer, a revolutionary document that would set the course of education for the next fifty years and beyond. This book, Twenty Things to Do with a Computer Forward 50, is a celebration of the vision set forth by Papert and Solomon a half-century ago.
</li><li><a title="The Honor Code: How Moral Revolutions Happen - Kindle edition by Appiah, Kwame Anthony. Politics &amp; Social Sciences Kindle eBooks @ Amazon.com." rel="nofollow" href="https://www.amazon.com/dp/B00403NO3I/ref=nosim?tag=teachingpython-20">The Honor Code: How Moral Revolutions Happen - Kindle edition by Appiah, Kwame Anthony. Politics &amp; Social Sciences Kindle eBooks @ Amazon.com.
</a> &mdash; In this groundbreaking work, Kwame Anthony Appiah, hailed as "one of the most relevant philosophers today" (New York Times Book Review), changes the way we understand human behavior and the way social reform is brought about. In brilliantly arguing that new democratic movements over the last century have not been driven by legislation from above, Appiah explores the end of the duel in aristocratic England, the tumultuous struggles over footbinding in nineteenth-century China, the uprising of ordinary people against Atlantic slavery, and the horrors of "honor killing" in contemporary Pakistan. 
</li><li><a title="One Laptop per Child - Wikipedia" rel="nofollow" href="https://en.wikipedia.org/wiki/One_Laptop_per_Child">One Laptop per Child - Wikipedia
</a> &mdash; One Laptop per Child (OLPC) was a non-profit initiative established with the goal of transforming education for children around the world; this goal was to be achieved by creating and distributing educational devices for the developing world, and by creating software and content for those devices.
</li><li><a title="The Math(s) Fix: An Education Blueprint for the AI Age , Wolfram, Conrad - Amazon.com" rel="nofollow" href="https://www.amazon.com/dp/B088TTFTDR/ref=nosim?tag=teachingpython-20">The Math(s) Fix: An Education Blueprint for the AI Age , Wolfram, Conrad - Amazon.com
</a> &mdash; The Math(s) Fix: An Education Blueprint for the AI Age is a groundbreaking book that exposes why maths education is in crisis worldwide and how the only fix is a fundamentally new mainstream subject.
</li></ul>]]>
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