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    <title>Teaching Python - Episodes Tagged with “Web”</title>
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    <pubDate>Mon, 30 Sep 2024 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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  <title>Episode 138: Innovative Coding Education with Pamela Fox</title>
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  <pubDate>Mon, 30 Sep 2024 00:00:00 -0400</pubDate>
  <author>Sean Tibor and Kelly Paredes</author>
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  <itunes:episode>138</itunes:episode>
  <itunes:title>Innovative Coding Education with Pamela Fox</itunes:title>
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  <itunes:author>Sean Tibor and Kelly Paredes</itunes:author>
  <itunes:subtitle>Pamela Fox, Principal Developer Advocate at Microsoft, joins hosts Sean Tibor and Kelly Schuster-Paredes in episode 138 to discuss the intersection of teaching, coding, and creating. They delve into Python in the cloud, static website, functional and recursive programming, and the impact of making programming accessible and engaging for all learners.</itunes:subtitle>
  <itunes:duration>56:11</itunes:duration>
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  <description>&lt;p&gt;In episode 138 of Teaching Python, hosts Sean Tibor and Kelly Schuster-Paredes welcome Pamela Fox, a Principal Developer Advocate at Microsoft, to discuss the dynamic world of teaching, coding, and creating. Pamela shares her experiences working with Python in the cloud, emphasizing the various applications from serverless functions to web application backends using frameworks like Flask and Django. This episode provides a comprehensive look at how cloud-based environments like GitHub CodeSpaces and CoLab make programming more accessible and reduce the friction often associated with setting up development environments.&lt;/p&gt;

&lt;p&gt;Pamela dives into her approach to teaching and the unique challenges posed by different educational formats. Drawing from her work at institutions like UC Berkeley and her development of AP Computer Science Principles content for Khan Academy, she highlights the importance of making learning engaging and personalized. Pamela shares insights into the design of interactive and project-based curricula, touching on how tools like Parsons problems can scaffold learning effectively and make complex concepts like recursion more approachable.&lt;/p&gt;

&lt;p&gt;The conversation also explores the significance of visualizations in learning programming, as exemplified by Pamela's recursion visualizer tool. The episode concludes with reflections on the breadth of topics covered in AP CSP and the value of exposing students to a wide array of programming experiences. Listeners gain a deeper understanding of the balance between teaching fundamental concepts and encouraging creative expression through code, along with practical tips for educators at all levels. Special Guest: Pamela Fox.&lt;/p&gt;
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  <itunes:keywords>Education, Technology, Programming, Python, Coding, STEM Education, Tech Learning, Digital Literacy, Tech Tutorials, Python Programming, Computer Science, EdTech, Coding for Beginners, DIY Projects, Interactive Learning, Software Development, Teaching Technology</itunes:keywords>
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    <![CDATA[<p>In episode 138 of Teaching Python, hosts Sean Tibor and Kelly Schuster-Paredes welcome Pamela Fox, a Principal Developer Advocate at Microsoft, to discuss the dynamic world of teaching, coding, and creating. Pamela shares her experiences working with Python in the cloud, emphasizing the various applications from serverless functions to web application backends using frameworks like Flask and Django. This episode provides a comprehensive look at how cloud-based environments like GitHub CodeSpaces and CoLab make programming more accessible and reduce the friction often associated with setting up development environments.</p>

<p>Pamela dives into her approach to teaching and the unique challenges posed by different educational formats. Drawing from her work at institutions like UC Berkeley and her development of AP Computer Science Principles content for Khan Academy, she highlights the importance of making learning engaging and personalized. Pamela shares insights into the design of interactive and project-based curricula, touching on how tools like Parsons problems can scaffold learning effectively and make complex concepts like recursion more approachable.</p>

<p>The conversation also explores the significance of visualizations in learning programming, as exemplified by Pamela's recursion visualizer tool. The episode concludes with reflections on the breadth of topics covered in AP CSP and the value of exposing students to a wide array of programming experiences. Listeners gain a deeper understanding of the balance between teaching fundamental concepts and encouraging creative expression through code, along with practical tips for educators at all levels.</p><p>Special Guest: Pamela Fox.</p><p><a rel="payment" href="https://www.patreon.com/teachingpython">Support Teaching Python</a></p><p>Links:</p><ul><li><a title="GitHub - pamelafox/recursive-visualizations: An online tool to visualize recursive JS functions step-by-step as a tree." rel="nofollow" href="https://github.com/pamelafox/recursive-visualizations">GitHub - pamelafox/recursive-visualizations: An online tool to visualize recursive JS functions step-by-step as a tree.
</a> &mdash; A way to visualize the call graph of recursive functions.

Uses Pyodide to run rcviz.py and then a WASM PyDot/GraphViz port to build an SVG graph. Finally, some JavaScript adds a slider for stepping through the calls.
</li><li><a title="GitHub - pamelafox/faded-parsons-static: A way to run Python Faded Parsons problems entirely in the browser." rel="nofollow" href="https://github.com/pamelafox/faded-parsons-static">GitHub - pamelafox/faded-parsons-static: A way to run Python Faded Parsons problems entirely in the browser.
</a> &mdash; This website allows you to run Faded Parsons Problems in the browser. It uses Pyodide for executing Python doctests and localStorage for storing user progress.
</li></ul>]]>
  </content:encoded>
  <itunes:summary>
    <![CDATA[<p>In episode 138 of Teaching Python, hosts Sean Tibor and Kelly Schuster-Paredes welcome Pamela Fox, a Principal Developer Advocate at Microsoft, to discuss the dynamic world of teaching, coding, and creating. Pamela shares her experiences working with Python in the cloud, emphasizing the various applications from serverless functions to web application backends using frameworks like Flask and Django. This episode provides a comprehensive look at how cloud-based environments like GitHub CodeSpaces and CoLab make programming more accessible and reduce the friction often associated with setting up development environments.</p>

<p>Pamela dives into her approach to teaching and the unique challenges posed by different educational formats. Drawing from her work at institutions like UC Berkeley and her development of AP Computer Science Principles content for Khan Academy, she highlights the importance of making learning engaging and personalized. Pamela shares insights into the design of interactive and project-based curricula, touching on how tools like Parsons problems can scaffold learning effectively and make complex concepts like recursion more approachable.</p>

<p>The conversation also explores the significance of visualizations in learning programming, as exemplified by Pamela's recursion visualizer tool. The episode concludes with reflections on the breadth of topics covered in AP CSP and the value of exposing students to a wide array of programming experiences. Listeners gain a deeper understanding of the balance between teaching fundamental concepts and encouraging creative expression through code, along with practical tips for educators at all levels.</p><p>Special Guest: Pamela Fox.</p><p><a rel="payment" href="https://www.patreon.com/teachingpython">Support Teaching Python</a></p><p>Links:</p><ul><li><a title="GitHub - pamelafox/recursive-visualizations: An online tool to visualize recursive JS functions step-by-step as a tree." rel="nofollow" href="https://github.com/pamelafox/recursive-visualizations">GitHub - pamelafox/recursive-visualizations: An online tool to visualize recursive JS functions step-by-step as a tree.
</a> &mdash; A way to visualize the call graph of recursive functions.

Uses Pyodide to run rcviz.py and then a WASM PyDot/GraphViz port to build an SVG graph. Finally, some JavaScript adds a slider for stepping through the calls.
</li><li><a title="GitHub - pamelafox/faded-parsons-static: A way to run Python Faded Parsons problems entirely in the browser." rel="nofollow" href="https://github.com/pamelafox/faded-parsons-static">GitHub - pamelafox/faded-parsons-static: A way to run Python Faded Parsons problems entirely in the browser.
</a> &mdash; This website allows you to run Faded Parsons Problems in the browser. It uses Pyodide for executing Python doctests and localStorage for storing user progress.
</li></ul>]]>
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