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    <title>Teaching Python - Episodes Tagged with “Abstraction”</title>
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    <pubDate>Mon, 22 Apr 2019 00:45:00 -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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  <title>Episode 17: Abstraction and Analytical Thinking</title>
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  <pubDate>Mon, 22 Apr 2019 00:45:00 -0400</pubDate>
  <author>Sean Tibor and Kelly Paredes</author>
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  <itunes:episode>17</itunes:episode>
  <itunes:title>Abstraction and Analytical Thinking</itunes:title>
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  <itunes:author>Sean Tibor and Kelly Paredes</itunes:author>
  <itunes:subtitle>Kelly and Sean get motivation from Michael Kennedy’s podcast Beginners and Experts. Where Michaels and the panelists discuss, how do you go about attacking a problem?  In this episode, Kelly and Sean digest abstraction and analytical thinking in the school setting and how computational thinking plays a part in all this. They discuss the activities that are used to help promote these skills.</itunes:subtitle>
  <itunes:duration>47:29</itunes:duration>
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  <description>&lt;p&gt;Kelly and Sean get motivation from &lt;a href="https://twitter.com/mkennedy" rel="nofollow noopener"&gt;Michael Kennedy’s&lt;/a&gt; &lt;a href="https://talkpython.fm" rel="nofollow noopener"&gt;Talk Python to Me&lt;/a&gt; podcast episode &lt;a href="https://talkpython.fm/episodes/show/203/beginners-and-experts-in-software-development" rel="nofollow noopener"&gt;Beginners and Experts&lt;/a&gt;. Where Michaels and the panelists discuss, how do you go about attacking a problem?  In this episode, Kelly and Sean digest abstraction and analytical thinking in the school setting and how computational thinking plays a part in all this. They discuss the activities that are used to help promote these skills. &lt;/p&gt;
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    <![CDATA[<p>Kelly and Sean get motivation from <a href="https://twitter.com/mkennedy" rel="nofollow noopener">Michael Kennedy’s</a> <a href="https://talkpython.fm" rel="nofollow noopener">Talk Python to Me</a> podcast episode <a href="https://talkpython.fm/episodes/show/203/beginners-and-experts-in-software-development" rel="nofollow noopener">Beginners and Experts</a>. Where Michaels and the panelists discuss, how do you go about attacking a problem?  In this episode, Kelly and Sean digest abstraction and analytical thinking in the school setting and how computational thinking plays a part in all this. They discuss the activities that are used to help promote these skills.</p><p>Sponsored By:</p><ul><li><a rel="nofollow" href="https://www.patreon.com/teachingpython">Patreon</a>: <a rel="nofollow" href="https://www.patreon.com/teachingpython">Want to hear more episodes from Kelly and Sean? Support us on Patreon so we can hire an audio editor!
</a></li></ul><p><a rel="payment" href="https://www.patreon.com/teachingpython">Support Teaching Python</a></p><p>Links:</p><ul><li><a title="Information Fluency | Global Digital Citizen Foundation" rel="nofollow" href="http://globaldigitalcitizen.org/21st-century-fluencies/information-fluency?__hstc=71880012.2a569b2df097fb10432f814ed74713ae.1553627642220.1553627642220.1553627642220.1&amp;__hssc=71880012.1.1553627642221&amp;__hsfp=3680054032">Information Fluency | Global Digital Citizen Foundation
</a> &mdash; The 5As of Information Fluency are Ask, Acquire, Analyze, Apply, and Assess. This video shows how they can help you master the staggering quantity of online information we face every day.
</li><li><a title="Homepage" rel="nofollow" href="https://www.wabisabilearning.com/">Homepage
</a> &mdash; WE TRANSFORM LEARNING AROUND THE WORLD THROUGH
OUR APPS, RESOURCES, PROFESSIONAL LEARNING,
CONSULTANCY AND FOUNDATION.
</li><li><a title="Abstraction | Teaching London Computing: A RESOURCE HUB from CAS LONDON &amp; CS4FN" rel="nofollow" href="https://teachinglondoncomputing.org/resources/developing-computational-thinking/abstraction/">Abstraction | Teaching London Computing: A RESOURCE HUB from CAS LONDON &amp; CS4FN
</a> &mdash; Abstraction is a&nbsp;way to make problems or systems easier to think about. It simply involves hiding detail – removing unnecessary complexity. The skill is in choosing the right detail to hide so that the problem becomes easier without losing anything that is important. It is used as a way to make it easier to create complex algorithms, as well as whole systems. A key part of it is in choosing a good representation of a system. Different representations make different things easy to do.
</li><li><a title="The 5th ‘C’ of 21st Century Skills? Try Computational Thinking (Not Coding) | EdSurge News" rel="nofollow" href="https://www.edsurge.com/news/2018-02-25-the-5th-c-of-21st-century-skills-try-computational-thinking-not-coding">The 5th ‘C’ of 21st Century Skills? Try Computational Thinking (Not Coding) | EdSurge News
</a> &mdash; Does current K-12 education equip every student with the requisite skills to become innovators and problem-solvers, or even informed citizens, to succeed in this world with pervasive computing?
</li><li><a title="Support Teaching Python on Patreon" rel="nofollow" href="https://www.patreon.com/teachingpython">Support Teaching Python on Patreon
</a> &mdash; We set up this Patreon to help offset website fees and to hire a professional audio editor to ensure that our episodes sound great and get posted quickly. When we reach $100 per month, we're going to set up a monthly Teaching Python conference call for patrons.
</li></ul>]]>
  </content:encoded>
  <itunes:summary>
    <![CDATA[<p>Kelly and Sean get motivation from <a href="https://twitter.com/mkennedy" rel="nofollow noopener">Michael Kennedy’s</a> <a href="https://talkpython.fm" rel="nofollow noopener">Talk Python to Me</a> podcast episode <a href="https://talkpython.fm/episodes/show/203/beginners-and-experts-in-software-development" rel="nofollow noopener">Beginners and Experts</a>. Where Michaels and the panelists discuss, how do you go about attacking a problem?  In this episode, Kelly and Sean digest abstraction and analytical thinking in the school setting and how computational thinking plays a part in all this. They discuss the activities that are used to help promote these skills.</p><p>Sponsored By:</p><ul><li><a rel="nofollow" href="https://www.patreon.com/teachingpython">Patreon</a>: <a rel="nofollow" href="https://www.patreon.com/teachingpython">Want to hear more episodes from Kelly and Sean? Support us on Patreon so we can hire an audio editor!
</a></li></ul><p><a rel="payment" href="https://www.patreon.com/teachingpython">Support Teaching Python</a></p><p>Links:</p><ul><li><a title="Information Fluency | Global Digital Citizen Foundation" rel="nofollow" href="http://globaldigitalcitizen.org/21st-century-fluencies/information-fluency?__hstc=71880012.2a569b2df097fb10432f814ed74713ae.1553627642220.1553627642220.1553627642220.1&amp;__hssc=71880012.1.1553627642221&amp;__hsfp=3680054032">Information Fluency | Global Digital Citizen Foundation
</a> &mdash; The 5As of Information Fluency are Ask, Acquire, Analyze, Apply, and Assess. This video shows how they can help you master the staggering quantity of online information we face every day.
</li><li><a title="Homepage" rel="nofollow" href="https://www.wabisabilearning.com/">Homepage
</a> &mdash; WE TRANSFORM LEARNING AROUND THE WORLD THROUGH
OUR APPS, RESOURCES, PROFESSIONAL LEARNING,
CONSULTANCY AND FOUNDATION.
</li><li><a title="Abstraction | Teaching London Computing: A RESOURCE HUB from CAS LONDON &amp; CS4FN" rel="nofollow" href="https://teachinglondoncomputing.org/resources/developing-computational-thinking/abstraction/">Abstraction | Teaching London Computing: A RESOURCE HUB from CAS LONDON &amp; CS4FN
</a> &mdash; Abstraction is a&nbsp;way to make problems or systems easier to think about. It simply involves hiding detail – removing unnecessary complexity. The skill is in choosing the right detail to hide so that the problem becomes easier without losing anything that is important. It is used as a way to make it easier to create complex algorithms, as well as whole systems. A key part of it is in choosing a good representation of a system. Different representations make different things easy to do.
</li><li><a title="The 5th ‘C’ of 21st Century Skills? Try Computational Thinking (Not Coding) | EdSurge News" rel="nofollow" href="https://www.edsurge.com/news/2018-02-25-the-5th-c-of-21st-century-skills-try-computational-thinking-not-coding">The 5th ‘C’ of 21st Century Skills? Try Computational Thinking (Not Coding) | EdSurge News
</a> &mdash; Does current K-12 education equip every student with the requisite skills to become innovators and problem-solvers, or even informed citizens, to succeed in this world with pervasive computing?
</li><li><a title="Support Teaching Python on Patreon" rel="nofollow" href="https://www.patreon.com/teachingpython">Support Teaching Python on Patreon
</a> &mdash; We set up this Patreon to help offset website fees and to hire a professional audio editor to ensure that our episodes sound great and get posted quickly. When we reach $100 per month, we're going to set up a monthly Teaching Python conference call for patrons.
</li></ul>]]>
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