app01 Fri, 23 Oct 2026 06:45:43 +0000 Fireside (https://fireside.fm) Teaching Python - Episodes Tagged with “Futurism” https://www.teachingpython.fm/tags/futurism Sun, 06 Mar 2022 22:00:00 -0500 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. en-us episodic We're two computer science educators learning and teaching Python Sean Tibor and Kelly Paredes 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. no 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 Sean Tibor and Kelly Paredes sean.tibor@gmail.com Episode 86: Thinking Globally https://www.teachingpython.fm/86 acaca7e8-3285-4060-bf27-d25e99a48d40 Sun, 06 Mar 2022 22:00:00 -0500 Sean Tibor and Kelly Paredes 86 Thinking Globally full Sean Tibor and Kelly Paredes In this episode, Sean and Kelly talk about the future. Looking into the past 20 years+ years of teaching and looking back at how we were taught as children, what has changed? Just as our teachers prepared us for our present, how are we preparing our students? 56:15 no <p>In this episode, Sean and Kelly talk about the future. Looking into the past 20 years+ years of teaching and looking back at how we were taught as children, what has changed? Just as our teachers prepared us for our present, how are we preparing our students? </p> <p>We should no longer try to prepare our students for jobs that may not be there when they enter the workforce. Instead, we should focus our preparation on how they can take advantage of the emerging technologies that are coming into existence. How are we teaching them to look out for the both the dangers and the benefits of Big Data, Machine Learning, social media and robots? What skills are we focusing on that wil lallow them to pivot and prosper in this exponentially changing world?</p> <p>The future is reliant on what our students of today will create.</p> python,future,global,technology,teaching In this episode, Sean and Kelly talk about the future. Looking into the past 20 years+ years of teaching and looking back at how we were taught as children, what has changed? Just as our teachers prepared us for our present, how are we preparing our students?

We should no longer try to prepare our students for jobs that may not be there when they enter the workforce. Instead, we should focus our preparation on how they can take advantage of the emerging technologies that are coming into existence. How are we teaching them to look out for the both the dangers and the benefits of Big Data, Machine Learning, social media and robots? What skills are we focusing on that wil lallow them to pivot and prosper in this exponentially changing world?

The future is reliant on what our students of today will create.

Support Teaching Python

Links:

]]> In this episode, Sean and Kelly talk about the future. Looking into the past 20 years+ years of teaching and looking back at how we were taught as children, what has changed? Just as our teachers prepared us for our present, how are we preparing our students?

We should no longer try to prepare our students for jobs that may not be there when they enter the workforce. Instead, we should focus our preparation on how they can take advantage of the emerging technologies that are coming into existence. How are we teaching them to look out for the both the dangers and the benefits of Big Data, Machine Learning, social media and robots? What skills are we focusing on that wil lallow them to pivot and prosper in this exponentially changing world?

The future is reliant on what our students of today will create.

Support Teaching Python

Links:

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