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    <title>Teaching Python - Episodes Tagged with “Physics”</title>
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    <pubDate>Mon, 19 Sep 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>
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    <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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  <title>Episode 97: Beyond Computer Science Classrooms</title>
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  <pubDate>Mon, 19 Sep 2022 00:00:00 -0400</pubDate>
  <author>Sean Tibor and Kelly Paredes</author>
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  <itunes:episode>97</itunes:episode>
  <itunes:title>Beyond Computer Science Classrooms</itunes:title>
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  <itunes:author>Sean Tibor and Kelly Paredes</itunes:author>
  <itunes:subtitle>Sri Kundarthy, a student and EuroPython speaker joins Kelly and Sean to talk about bringing Python to other subject areas. From physics models to data manipulation to advanced algorithms, we talk about a wide range of applications for computer science outside of the computer science classroom.</itunes:subtitle>
  <itunes:duration>46:22</itunes:duration>
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  <description>&lt;p&gt;Sri Kundurthy, a student and EuroPython speaker joins Kelly and Sean to talk about bringing Python to other subject areas. From physics models to data manipulation to advanced algorithms, we talk about a wide range of applications for computer science outside of the computer science classroom Special Guest: Srivatsa Kundurthy.&lt;/p&gt;
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    <![CDATA[<p>Sri Kundurthy, a student and EuroPython speaker joins Kelly and Sean to talk about bringing Python to other subject areas. From physics models to data manipulation to advanced algorithms, we talk about a wide range of applications for computer science outside of the computer science classroom</p><p>Special Guest: Srivatsa Kundurthy.</p><p><a rel="payment" href="https://www.patreon.com/teachingpython">Support Teaching Python</a></p><p>Links:</p><ul><li><a title="Revolutionizing Education: How Python is Essential Beyond Computer Science - Srivatsa Kundurthy - EuroPython 2022 | July 11th-17th 2022 | Dublin Ireland &amp; Remote" rel="nofollow" href="https://ep2022.europython.eu/session/revolutionizing-education-how-python-is-essential-beyond-computer-science">Revolutionizing Education: How Python is Essential Beyond Computer Science - Srivatsa Kundurthy - EuroPython 2022 | July 11th-17th 2022 | Dublin Ireland &amp; Remote
</a> &mdash; Python has had a transformational effect on countless fields so far, but its permeation can be accelerated through the integration of Python into non-computing coursework. Currently, Python’s presence within secondary and post-secondary schools varies greatly between different institutions, but the continuity in the lack of interdisciplinary coursework is a key limiting factor in the widespread growth of computing education. 
</li><li><a title="The Missing README: A Guide for the New Software Engineer: Riccomini, Chris, Ryaboy, Dmitriy: 9781718501836: Amazon.com: Books" rel="nofollow" href="https://www.amazon.com/dp/1718501838/ref=nosim?tag=teachingpython-20">The Missing README: A Guide for the New Software Engineer: Riccomini, Chris, Ryaboy, Dmitriy: 9781718501836: Amazon.com: Books
</a> &mdash; Key concepts and best practices for new software engineers&nbsp;— stuff critical to your workplace success that you weren’t taught in school.
</li><li><a title="srivatsa-kundurthy (Srivatsa Kundurthy)" rel="nofollow" href="https://github.com/srivatsa-kundurthy">srivatsa-kundurthy (Srivatsa Kundurthy)
</a></li><li><a title="Teaching Python: Overview | LinkedIn" rel="nofollow" href="https://www.linkedin.com/company/teaching-python/">Teaching Python: Overview | LinkedIn
</a> &mdash; Our new Teaching Python LinkedIn Page!
</li></ul>]]>
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  <itunes:summary>
    <![CDATA[<p>Sri Kundurthy, a student and EuroPython speaker joins Kelly and Sean to talk about bringing Python to other subject areas. From physics models to data manipulation to advanced algorithms, we talk about a wide range of applications for computer science outside of the computer science classroom</p><p>Special Guest: Srivatsa Kundurthy.</p><p><a rel="payment" href="https://www.patreon.com/teachingpython">Support Teaching Python</a></p><p>Links:</p><ul><li><a title="Revolutionizing Education: How Python is Essential Beyond Computer Science - Srivatsa Kundurthy - EuroPython 2022 | July 11th-17th 2022 | Dublin Ireland &amp; Remote" rel="nofollow" href="https://ep2022.europython.eu/session/revolutionizing-education-how-python-is-essential-beyond-computer-science">Revolutionizing Education: How Python is Essential Beyond Computer Science - Srivatsa Kundurthy - EuroPython 2022 | July 11th-17th 2022 | Dublin Ireland &amp; Remote
</a> &mdash; Python has had a transformational effect on countless fields so far, but its permeation can be accelerated through the integration of Python into non-computing coursework. Currently, Python’s presence within secondary and post-secondary schools varies greatly between different institutions, but the continuity in the lack of interdisciplinary coursework is a key limiting factor in the widespread growth of computing education. 
</li><li><a title="The Missing README: A Guide for the New Software Engineer: Riccomini, Chris, Ryaboy, Dmitriy: 9781718501836: Amazon.com: Books" rel="nofollow" href="https://www.amazon.com/dp/1718501838/ref=nosim?tag=teachingpython-20">The Missing README: A Guide for the New Software Engineer: Riccomini, Chris, Ryaboy, Dmitriy: 9781718501836: Amazon.com: Books
</a> &mdash; Key concepts and best practices for new software engineers&nbsp;— stuff critical to your workplace success that you weren’t taught in school.
</li><li><a title="srivatsa-kundurthy (Srivatsa Kundurthy)" rel="nofollow" href="https://github.com/srivatsa-kundurthy">srivatsa-kundurthy (Srivatsa Kundurthy)
</a></li><li><a title="Teaching Python: Overview | LinkedIn" rel="nofollow" href="https://www.linkedin.com/company/teaching-python/">Teaching Python: Overview | LinkedIn
</a> &mdash; Our new Teaching Python LinkedIn Page!
</li></ul>]]>
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