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    <title>Teaching Python - Episodes Tagged with “Computerscience”</title>
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    <pubDate>Fri, 22 Jan 2021 10:00:00 -0500</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 59: Crossover with PyBites!</title>
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  <pubDate>Fri, 22 Jan 2021 10:00:00 -0500</pubDate>
  <author>Sean Tibor and Kelly Paredes</author>
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  <itunes:episode>59</itunes:episode>
  <itunes:title>Crossover with PyBites!</itunes:title>
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  <itunes:author>Sean Tibor and Kelly Paredes</itunes:author>
  <itunes:subtitle>Kelly and Sean team up with Bob Belderbos and Julian Sequeira from @PyBites to answer questions about how our students learn Python using the PyBites platform with small code challenges.</itunes:subtitle>
  <itunes:duration>45:19</itunes:duration>
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  <description>&lt;p&gt;Kelly and Sean team up with Bob Belderbos and Julian Sequeira from @PyBites to answer questions about how our students learn Python using the PyBites platform with small code challenges. In this special crossover episode, we cover everything from how students learn to the way they learn Pytest reporting output to the mindset and chemistry of learning something new.&lt;/p&gt;&lt;p&gt;Special Guests: Bob Belderbos and Julian Sequeira.&lt;/p&gt;</description>
  <itunes:keywords>python, teaching, programming, computerscience, learning</itunes:keywords>
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    <![CDATA[<p>Kelly and Sean team up with Bob Belderbos and Julian Sequeira from @PyBites to answer questions about how our students learn Python using the PyBites platform with small code challenges. In this special crossover episode, we cover everything from how students learn to the way they learn Pytest reporting output to the mindset and chemistry of learning something new.</p><p>Special Guests: Bob Belderbos and Julian Sequeira.</p><p><a rel="payment" href="https://www.patreon.com/teachingpython">Support Teaching Python</a></p><p>Links:</p><ul><li><a title="PyBites Platform | Real World Python Exercises" rel="nofollow" href="https://codechalleng.es/">PyBites Platform | Real World Python Exercises
</a> &mdash; Our Pythonistas love how our platform expands their Python skills, picking up new features like ABCs, decorators, regexes, the collections module, and much much more.

Once they start coding on our platform, before they know it, list comprehensions have become second nature, and they finally wrap their heads around lambdas and context managers.
</li><li><a title="JavaScript for Kids: A Playful Introduction to Programming: Morgan, Nick: 9781593274085: Amazon.com: Books" rel="nofollow" href="https://www.amazon.com/dp/1593274084/ref=nosim?tag=teachingpython-20">JavaScript for Kids: A Playful Introduction to Programming: Morgan, Nick: 9781593274085: Amazon.com: Books
</a> &mdash; JavaScript for Kids is a lighthearted introduction that teaches programming essentials through patient, step-by-step examples paired with funny illustrations. You’ll begin with the basics, like working with strings, arrays, and loops, and then move on to more advanced topics, like building interactivity with jQuery and drawing graphics with Canvas.
</li><li><a title="Real-World Python: A Hacker&#39;s Guide to Solving Problems with Code: Vaughan, Lee: 9781718500624: Amazon.com: Books" rel="nofollow" href="https://www.amazon.com/dp/1718500629/ref=nosim?tag=teachingpython-20">Real-World Python: A Hacker's Guide to Solving Problems with Code: Vaughan, Lee: 9781718500624: Amazon.com: Books
</a> &mdash; You've mastered the basics. Now you're ready to explore some of Python's more powerful tools. Real-World Python will show you how.

Through a series of hands-on projects, you'll investigate and solve real-world problems using sophisticated computer vision, machine learning, data analysis, and language processing tools. You'll be introduced to important modules like OpenCV, NumPy, Pandas, NLTK, Bokeh, Beautiful Soup, Requests, HoloViews, Tkinter, turtle, matplotlib, and more. 
</li><li><a title="Amazon.com: High Expectations Teaching: How We Persuade Students to Believe and Act on &quot;Smart Is Something You Can Get&quot; eBook: Saphier, Jon: Kindle Store" rel="nofollow" href="https://www.amazon.com/dp/B07C6P1YR7/ref=nosim?tag=teachingpython-20">Amazon.com: High Expectations Teaching: How We Persuade Students to Believe and Act on "Smart Is Something You Can Get" eBook: Saphier, Jon: Kindle Store
</a> &mdash; For all the productive conversation around "mindsets," what’s missing are the details of how to convince our discouraged and underperforming students that "smart is something you can get." Until now. 

With the publication of High-Expectations Teaching, Jon Saphier reveals once and for all evidence that the bell curve of ability is plain wrong—that ability is something that can be grown significantly if we can first help students to believe in themselves. 
</li></ul>]]>
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  <itunes:summary>
    <![CDATA[<p>Kelly and Sean team up with Bob Belderbos and Julian Sequeira from @PyBites to answer questions about how our students learn Python using the PyBites platform with small code challenges. In this special crossover episode, we cover everything from how students learn to the way they learn Pytest reporting output to the mindset and chemistry of learning something new.</p><p>Special Guests: Bob Belderbos and Julian Sequeira.</p><p><a rel="payment" href="https://www.patreon.com/teachingpython">Support Teaching Python</a></p><p>Links:</p><ul><li><a title="PyBites Platform | Real World Python Exercises" rel="nofollow" href="https://codechalleng.es/">PyBites Platform | Real World Python Exercises
</a> &mdash; Our Pythonistas love how our platform expands their Python skills, picking up new features like ABCs, decorators, regexes, the collections module, and much much more.

Once they start coding on our platform, before they know it, list comprehensions have become second nature, and they finally wrap their heads around lambdas and context managers.
</li><li><a title="JavaScript for Kids: A Playful Introduction to Programming: Morgan, Nick: 9781593274085: Amazon.com: Books" rel="nofollow" href="https://www.amazon.com/dp/1593274084/ref=nosim?tag=teachingpython-20">JavaScript for Kids: A Playful Introduction to Programming: Morgan, Nick: 9781593274085: Amazon.com: Books
</a> &mdash; JavaScript for Kids is a lighthearted introduction that teaches programming essentials through patient, step-by-step examples paired with funny illustrations. You’ll begin with the basics, like working with strings, arrays, and loops, and then move on to more advanced topics, like building interactivity with jQuery and drawing graphics with Canvas.
</li><li><a title="Real-World Python: A Hacker&#39;s Guide to Solving Problems with Code: Vaughan, Lee: 9781718500624: Amazon.com: Books" rel="nofollow" href="https://www.amazon.com/dp/1718500629/ref=nosim?tag=teachingpython-20">Real-World Python: A Hacker's Guide to Solving Problems with Code: Vaughan, Lee: 9781718500624: Amazon.com: Books
</a> &mdash; You've mastered the basics. Now you're ready to explore some of Python's more powerful tools. Real-World Python will show you how.

Through a series of hands-on projects, you'll investigate and solve real-world problems using sophisticated computer vision, machine learning, data analysis, and language processing tools. You'll be introduced to important modules like OpenCV, NumPy, Pandas, NLTK, Bokeh, Beautiful Soup, Requests, HoloViews, Tkinter, turtle, matplotlib, and more. 
</li><li><a title="Amazon.com: High Expectations Teaching: How We Persuade Students to Believe and Act on &quot;Smart Is Something You Can Get&quot; eBook: Saphier, Jon: Kindle Store" rel="nofollow" href="https://www.amazon.com/dp/B07C6P1YR7/ref=nosim?tag=teachingpython-20">Amazon.com: High Expectations Teaching: How We Persuade Students to Believe and Act on "Smart Is Something You Can Get" eBook: Saphier, Jon: Kindle Store
</a> &mdash; For all the productive conversation around "mindsets," what’s missing are the details of how to convince our discouraged and underperforming students that "smart is something you can get." Until now. 

With the publication of High-Expectations Teaching, Jon Saphier reveals once and for all evidence that the bell curve of ability is plain wrong—that ability is something that can be grown significantly if we can first help students to believe in themselves. 
</li></ul>]]>
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