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    <title>Teaching Python - Episodes Tagged with “Anaconda”</title>
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    <pubDate>Mon, 01 Aug 2022 12:00:00 -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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  <title>Episode 94: Anaconda in Education</title>
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  <pubDate>Mon, 01 Aug 2022 12:00:00 -0400</pubDate>
  <author>Sean Tibor and Kelly Paredes</author>
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  <itunes:episode>94</itunes:episode>
  <itunes:title>Anaconda in Education</itunes:title>
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  <itunes:author>Sean Tibor and Kelly Paredes</itunes:author>
  <itunes:subtitle>Sean and Kelly speak with Anaconda and their outreach program. Anaconda supports educators and learners with the ability to understand and interpret data. This leads to better decision-making and a world where people are empowered to create positive change.</itunes:subtitle>
  <itunes:duration>1:03:55</itunes:duration>
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  <description>&lt;p&gt;Sean and Kelly speak with Anaconda and their outreach program. Anaconda supports educators and learners with the ability to understand and interpret data. This leads to better decision-making and a world where people are empowered to create positive change.&lt;/p&gt;

&lt;p&gt;Episode Errata: &lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;The hackday event referenced in the episode was related to Pyscript and more information will come out on that shortly.&lt;/li&gt;
&lt;li&gt;The data science competition for high school students referenced in the episode is called Data Science Expo and will be piloted in the 2022-2023 school year.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;Note: we had to go to the cloud-based recording backup for this episode, so you may notice a few issues with audio quality. Our editor did his best to clean it up, but there are a few rough spots.&lt;/p&gt;&lt;p&gt;Special Guests: Albert Defusco and Sophia Yang.&lt;/p&gt;</description>
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    <![CDATA[<p>Sean and Kelly speak with Anaconda and their outreach program. Anaconda supports educators and learners with the ability to understand and interpret data. This leads to better decision-making and a world where people are empowered to create positive change.</p>

<p>Episode Errata: </p>

<ul>
<li>The hackday event referenced in the episode was related to Pyscript and more information will come out on that shortly.</li>
<li>The data science competition for high school students referenced in the episode is called Data Science Expo and will be piloted in the 2022-2023 school year.</li>
</ul>

<p>Note: we had to go to the cloud-based recording backup for this episode, so you may notice a few issues with audio quality. Our editor did his best to clean it up, but there are a few rough spots.</p><p>Special Guests: Albert Defusco and Sophia Yang.</p><p><a rel="payment" href="https://www.patreon.com/teachingpython">Support Teaching Python</a></p><p>Links:</p><ul><li><a title="Anaconda Nucleus" rel="nofollow" href="https://anaconda.cloud/">Anaconda Nucleus
</a> &mdash; Find content in the Anaconda library, support, and more!
</li><li><a title="Anaconda | The World&#39;s Most Popular Data Science Platform" rel="nofollow" href="https://www.anaconda.com/">Anaconda | The World's Most Popular Data Science Platform
</a> &mdash; Anaconda offers the easiest way to perform Python/R data science and machine learning on a single machine. Start working with thousands of open-source packages and libraries today.
</li><li><a title="Getting started with Anaconda — Anaconda documentation" rel="nofollow" href="https://docs.anaconda.com/anaconda/user-guide/getting-started/">Getting started with Anaconda — Anaconda documentation
</a> &mdash; Anaconda Distribution contains conda and Anaconda Navigator, as well as Python and hundreds of scientific packages. When you installed Anaconda, you installed all these too.
</li><li><a title="PyScript | Run Python in your HTML" rel="nofollow" href="https://pyscript.net/">PyScript | Run Python in your HTML
</a> &mdash; Run Python in Your HTML
</li></ul>]]>
  </content:encoded>
  <itunes:summary>
    <![CDATA[<p>Sean and Kelly speak with Anaconda and their outreach program. Anaconda supports educators and learners with the ability to understand and interpret data. This leads to better decision-making and a world where people are empowered to create positive change.</p>

<p>Episode Errata: </p>

<ul>
<li>The hackday event referenced in the episode was related to Pyscript and more information will come out on that shortly.</li>
<li>The data science competition for high school students referenced in the episode is called Data Science Expo and will be piloted in the 2022-2023 school year.</li>
</ul>

<p>Note: we had to go to the cloud-based recording backup for this episode, so you may notice a few issues with audio quality. Our editor did his best to clean it up, but there are a few rough spots.</p><p>Special Guests: Albert Defusco and Sophia Yang.</p><p><a rel="payment" href="https://www.patreon.com/teachingpython">Support Teaching Python</a></p><p>Links:</p><ul><li><a title="Anaconda Nucleus" rel="nofollow" href="https://anaconda.cloud/">Anaconda Nucleus
</a> &mdash; Find content in the Anaconda library, support, and more!
</li><li><a title="Anaconda | The World&#39;s Most Popular Data Science Platform" rel="nofollow" href="https://www.anaconda.com/">Anaconda | The World's Most Popular Data Science Platform
</a> &mdash; Anaconda offers the easiest way to perform Python/R data science and machine learning on a single machine. Start working with thousands of open-source packages and libraries today.
</li><li><a title="Getting started with Anaconda — Anaconda documentation" rel="nofollow" href="https://docs.anaconda.com/anaconda/user-guide/getting-started/">Getting started with Anaconda — Anaconda documentation
</a> &mdash; Anaconda Distribution contains conda and Anaconda Navigator, as well as Python and hundreds of scientific packages. When you installed Anaconda, you installed all these too.
</li><li><a title="PyScript | Run Python in your HTML" rel="nofollow" href="https://pyscript.net/">PyScript | Run Python in your HTML
</a> &mdash; Run Python in Your HTML
</li></ul>]]>
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