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    <title>Teaching Python - Episodes Tagged with “Object Oriented”</title>
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    <pubDate>Mon, 15 Feb 2021 00:00:00 -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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  <title>Episode 61: Object-Oriented Thinking</title>
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  <pubDate>Mon, 15 Feb 2021 00:00:00 -0500</pubDate>
  <author>Sean Tibor and Kelly Paredes</author>
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  <itunes:episode>61</itunes:episode>
  <itunes:title>Object-Oriented Thinking</itunes:title>
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  <itunes:author>Sean Tibor and Kelly Paredes</itunes:author>
  <itunes:subtitle>Kelly and Sean try to figure out the role of object-oriented programming in teaching. From how much to focus on objects and methods, to whether it makes sense to teach classes, this is a journey through the opinionated topic of object-oriented thinking.</itunes:subtitle>
  <itunes:duration>40:15</itunes:duration>
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  <description>&lt;p&gt;Kelly and Sean try to figure out the role of object-oriented programming in teaching. From how much to focus on objects and methods, to whether it makes sense to teach classes, this is a journey through the opinionated topic of object-oriented thinking. &lt;/p&gt;
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    <![CDATA[<p>Kelly and Sean try to figure out the role of object-oriented programming in teaching. From how much to focus on objects and methods, to whether it makes sense to teach classes, this is a journey through the opinionated topic of object-oriented thinking.</p><p><a rel="payment" href="https://www.patreon.com/teachingpython">Support Teaching Python</a></p><p>Links:</p><ul><li><a title="AWS DeepRacer - the fastest way to get rolling with machine learning" rel="nofollow" href="https://aws.amazon.com/deepracer/">AWS DeepRacer - the fastest way to get rolling with machine learning
</a> &mdash; Developers of all skill levels can get hands on with machine learning through a cloud based 3D racing simulator, fully autonomous 1/18th scale race car driven by reinforcement learning, and global racing league.
</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="tiangolo/typer: Typer, build great CLIs. Easy to code. Based on Python type hints." rel="nofollow" href="https://github.com/tiangolo/typer">tiangolo/typer: Typer, build great CLIs. Easy to code. Based on Python type hints.
</a> &mdash; Typer is a library for building CLI applications that users will love using and developers will love creating. Based on Python 3.6+ type hints.
</li><li><a title="{placekitten} - Placeholder kitten images for developers" rel="nofollow" href="https://placekitten.com/">{placekitten} - Placeholder kitten images for developers
</a> &mdash; A quick and simple service for getting pictures of kittens for use as placeholders in your designs or code. Just put your image size (width &amp; height) after our URL and you'll get a placeholder.
</li><li><a title="Mars Weather | InSight Mission – NASA&#39;s InSight Mars Lander" rel="nofollow" href="https://mars.nasa.gov/insight/weather/">Mars Weather | InSight Mission – NASA's InSight Mars Lander
</a> &mdash; InSight has temporarily suspended daily weather measurements. As more data becomes available, it will appear below. Meanwhile, get the latest Mars weather from the Curiosity Rover.
</li><li><a title="Who&#39;s on First? - YouTube" rel="nofollow" href="https://www.youtube.com/watch?v=sShMA85pv8M">Who's on First? - YouTube
</a> &mdash; Abbott and Costello perform the classic "Who's on first?" baseball sketch in their 1945 film "The Naughty Nineties" first performed as part of their stage act. Still find this really funny
</li></ul>]]>
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  <itunes:summary>
    <![CDATA[<p>Kelly and Sean try to figure out the role of object-oriented programming in teaching. From how much to focus on objects and methods, to whether it makes sense to teach classes, this is a journey through the opinionated topic of object-oriented thinking.</p><p><a rel="payment" href="https://www.patreon.com/teachingpython">Support Teaching Python</a></p><p>Links:</p><ul><li><a title="AWS DeepRacer - the fastest way to get rolling with machine learning" rel="nofollow" href="https://aws.amazon.com/deepracer/">AWS DeepRacer - the fastest way to get rolling with machine learning
</a> &mdash; Developers of all skill levels can get hands on with machine learning through a cloud based 3D racing simulator, fully autonomous 1/18th scale race car driven by reinforcement learning, and global racing league.
</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="tiangolo/typer: Typer, build great CLIs. Easy to code. Based on Python type hints." rel="nofollow" href="https://github.com/tiangolo/typer">tiangolo/typer: Typer, build great CLIs. Easy to code. Based on Python type hints.
</a> &mdash; Typer is a library for building CLI applications that users will love using and developers will love creating. Based on Python 3.6+ type hints.
</li><li><a title="{placekitten} - Placeholder kitten images for developers" rel="nofollow" href="https://placekitten.com/">{placekitten} - Placeholder kitten images for developers
</a> &mdash; A quick and simple service for getting pictures of kittens for use as placeholders in your designs or code. Just put your image size (width &amp; height) after our URL and you'll get a placeholder.
</li><li><a title="Mars Weather | InSight Mission – NASA&#39;s InSight Mars Lander" rel="nofollow" href="https://mars.nasa.gov/insight/weather/">Mars Weather | InSight Mission – NASA's InSight Mars Lander
</a> &mdash; InSight has temporarily suspended daily weather measurements. As more data becomes available, it will appear below. Meanwhile, get the latest Mars weather from the Curiosity Rover.
</li><li><a title="Who&#39;s on First? - YouTube" rel="nofollow" href="https://www.youtube.com/watch?v=sShMA85pv8M">Who's on First? - YouTube
</a> &mdash; Abbott and Costello perform the classic "Who's on first?" baseball sketch in their 1945 film "The Naughty Nineties" first performed as part of their stage act. Still find this really funny
</li></ul>]]>
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