app02 Sun, 28 Jun 2026 16:55:35 +0000 Fireside (https://fireside.fm) Teaching Python - Episodes Tagged with “Coding Education” https://www.teachingpython.fm/tags/coding%20education Mon, 22 Jun 2026 00:00:00 -0400 Welcome to "Teaching Python Podcast,” the go-to podcast for anyone interested in the intersection of education and coding. Hosted by Kelly Paredes and Sean Tibor, this podcast dives into the thrills and challenges of teaching computer science through the engaging and versatile Python programming language. About the Hosts: Kelly Paredes brings a wealth of global experience in curriculum design and currently inspires sixth and eighth graders at Pine Crest School in Fort Lauderdale, Florida. Celebrating her seventh year of integrating Python into her teaching, Kelly has a knack for making complex concepts accessible and exciting. Sean Tibor, a Cloud, Infrastructure, and Networks leader at Pfizer, draws from a rich background that spans marketing, database design, and digital agency leadership. Having taught Python to seventh and eighth graders at Pine Crest School, Sean now extends his expertise by supporting interns and tutoring students in Python. Explore with Us: Engaging Lessons: Discover how we make Python programming both fun and accessible for young learners, equipping them with the skills to tackle real-world problems. Classroom Insights: Experience our journey through both triumphs and trials in the classroom, and learn what it takes to foster a vibrant learning environment. Expert Interviews: Gain valuable perspectives from interviews with fellow educators and industry experts, who share their top strategies and success stories in coding education. en-us episodic We're two computer science educators learning and teaching Python Sean Tibor and Kelly Paredes Welcome to "Teaching Python Podcast,” the go-to podcast for anyone interested in the intersection of education and coding. Hosted by Kelly Paredes and Sean Tibor, this podcast dives into the thrills and challenges of teaching computer science through the engaging and versatile Python programming language. About the Hosts: Kelly Paredes brings a wealth of global experience in curriculum design and currently inspires sixth and eighth graders at Pine Crest School in Fort Lauderdale, Florida. Celebrating her seventh year of integrating Python into her teaching, Kelly has a knack for making complex concepts accessible and exciting. Sean Tibor, a Cloud, Infrastructure, and Networks leader at Pfizer, draws from a rich background that spans marketing, database design, and digital agency leadership. Having taught Python to seventh and eighth graders at Pine Crest School, Sean now extends his expertise by supporting interns and tutoring students in Python. Explore with Us: Engaging Lessons: Discover how we make Python programming both fun and accessible for young learners, equipping them with the skills to tackle real-world problems. Classroom Insights: Experience our journey through both triumphs and trials in the classroom, and learn what it takes to foster a vibrant learning environment. Expert Interviews: Gain valuable perspectives from interviews with fellow educators and industry experts, who share their top strategies and success stories in coding education. no Digital Literacy, Coding for Kids ,Tech Integration in Education, 21st Century Skills, Blended Learning, Remote Learning, Adaptive Learning Technologies, Student Engagement Strategies, Flipped Classroom, Inquiry-Based Learning,education, python, computer science, teaching, pedagogy, STEM education, programming languages, educational technology, curriculum development, instructional design, e-learning, teacher training, data science, machine learning, higher education, tech education, innovative teaching, lesson planning, edtech tools, professional development Sean Tibor and Kelly Paredes sean.tibor@gmail.com Episode 159: Big Lessons from Small Models with Gwyneth Peña‑Siguenza https://www.teachingpython.fm/159 3ad72582-1a89-4d55-8e24-a6799da8a5a9 Mon, 22 Jun 2026 00:00:00 -0400 Sean Tibor and Kelly Paredes 159 Big Lessons from Small Models with Gwyneth Peña‑Siguenza full Sean Tibor and Kelly Paredes Small language models may be the best way to learn AI. Microsoft Cloud Advocate Gwyneth Peña-Sigüenza joins us to discuss Python, cloud computing, security, and why the limitations of smaller models can build stronger developers. 56:15 no <p>What can small language models teach us that the largest AI models cannot?</p> <p>Kelly and Julian are joined by Microsoft Cloud Advocate Gwyneth Peña-Sigüenza to explore why working with small language models (SLMs) may be one of the best ways to understand AI. Rather than relying on increasingly capable models that hide complexity, Gwyneth argues that constraints build stronger fundamentals. From prompt engineering and context management to deployment and security, SLMs force learners to think more carefully about how AI actually works.</p> <p>The conversation extends beyond AI models into learning itself. Gwyneth shares her self-taught journey from growing up on a remote farm in Ecuador with limited internet access to becoming a Microsoft Cloud Advocate and creator of the Learn to Cloud platform. Along the way, the group discusses productive struggle, mentorship, cloud engineering, Python, security, and what educators should prioritize as AI becomes part of every student's learning experience.</p> <p>The episode closes with a thoughtful discussion about AI dependency, judgment, and whether we would actually flip the switch and turn AI off if given the choice.</p> <h2>Show Notes</h2> <h3>Wins of the Week</h3> <ul> <li> Gwyneth celebrates the New York Knicks reaching the NBA Finals after more than 50 years.</li> <li> Julian shares that he has accepted a new role as a Fractional CTO.</li> <li> Kelly reflects on taking her first real vacation in over a year—and how stepping away from work sparked unexpected ideas.</li> </ul> <h3>Small Language Models</h3> <ul> <li> Why SLMs are valuable teaching tools</li> <li> Learning prompt engineering through constraints</li> <li> Running models locally on everyday hardware</li> <li> When local AI makes sense for classrooms</li> <li> Understanding tokens, context windows, and model limitations</li> <li> Why bigger models can sometimes hide important lessons</li> </ul> <h3>Learning Through Constraints</h3> <ul> <li> Learning to drive in an old manual pickup truck as a metaphor for learning AI fundamentals</li> <li> Why difficult learning experiences often create lasting understanding</li> <li> Building strong habits before relying on more capable tools</li> <li> Consistency versus constantly chasing the newest resource</li> </ul> <h3>Self-Taught Learning</h3> <ul> <li> Growing up without reliable internet in rural Ecuador</li> <li> Downloading YouTube playlists to learn programming offline</li> <li> Developing discipline through limited access</li> <li> The value of repetition and focused practice</li> <li> Why mentorship accelerates learning</li> </ul> <h3>Python Journey</h3> <ul> <li> Transitioning from cloud engineering to Python advocacy</li> <li> Learning Python beyond scripting</li> <li> Discovering what "Pythonic" really means</li> <li> Wrestling with list comprehensions and other advanced syntax</li> <li> Favorite learning resources: <ul> <li> <em>Fluent Python</em></li> <li> <em>Effective Python</em></li> </ul></li> </ul> <h3>Learn to Cloud</h3> <ul> <li> Building an open-source cloud engineering curriculum</li> <li> Hands-on labs and automated verification</li> <li> AI-assisted assessment</li> <li> Supporting self-taught learners around the world</li> <li> Creating accessible technical education</li> </ul> <h3>Cloud, AI, and Security</h3> <ul> <li> Deploying AI applications to the cloud</li> <li> Containers, virtual machines, and serverless deployments</li> <li> Why operations and security deserve more classroom attention</li> <li> Introducing secure development practices early</li> <li> The importance of authentication, secrets management, and responsible deployment</li> </ul> <h3>Teaching in the AI Era</h3> <ul> <li> Helping students understand how AI works instead of simply using it</li> <li> Why productive struggle still matters</li> <li> The changing role of educators</li> <li> Balancing AI assistance with independent thinking</li> <li> Preparing students for a future where AI is always available</li> </ul> <h3>Final Thoughts</h3> <ul> <li> AI dependency versus capability</li> <li> Judgment as the skill that matters most</li> <li> Human connection in an AI-driven world</li> <li> Would we actually turn AI off?</li> <li> Finding balance between technological progress and intentional learning </li> </ul> 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 What can small language models teach us that the largest AI models cannot?

Kelly and Julian are joined by Microsoft Cloud Advocate Gwyneth Peña-Sigüenza to explore why working with small language models (SLMs) may be one of the best ways to understand AI. Rather than relying on increasingly capable models that hide complexity, Gwyneth argues that constraints build stronger fundamentals. From prompt engineering and context management to deployment and security, SLMs force learners to think more carefully about how AI actually works.

The conversation extends beyond AI models into learning itself. Gwyneth shares her self-taught journey from growing up on a remote farm in Ecuador with limited internet access to becoming a Microsoft Cloud Advocate and creator of the Learn to Cloud platform. Along the way, the group discusses productive struggle, mentorship, cloud engineering, Python, security, and what educators should prioritize as AI becomes part of every student's learning experience.

The episode closes with a thoughtful discussion about AI dependency, judgment, and whether we would actually flip the switch and turn AI off if given the choice.

Show Notes

Wins of the Week

  • Gwyneth celebrates the New York Knicks reaching the NBA Finals after more than 50 years.
  • Julian shares that he has accepted a new role as a Fractional CTO.
  • Kelly reflects on taking her first real vacation in over a year—and how stepping away from work sparked unexpected ideas.

Small Language Models

  • Why SLMs are valuable teaching tools
  • Learning prompt engineering through constraints
  • Running models locally on everyday hardware
  • When local AI makes sense for classrooms
  • Understanding tokens, context windows, and model limitations
  • Why bigger models can sometimes hide important lessons

Learning Through Constraints

  • Learning to drive in an old manual pickup truck as a metaphor for learning AI fundamentals
  • Why difficult learning experiences often create lasting understanding
  • Building strong habits before relying on more capable tools
  • Consistency versus constantly chasing the newest resource

Self-Taught Learning

  • Growing up without reliable internet in rural Ecuador
  • Downloading YouTube playlists to learn programming offline
  • Developing discipline through limited access
  • The value of repetition and focused practice
  • Why mentorship accelerates learning

Python Journey

  • Transitioning from cloud engineering to Python advocacy
  • Learning Python beyond scripting
  • Discovering what "Pythonic" really means
  • Wrestling with list comprehensions and other advanced syntax
  • Favorite learning resources:
    • Fluent Python
    • Effective Python

Learn to Cloud

  • Building an open-source cloud engineering curriculum
  • Hands-on labs and automated verification
  • AI-assisted assessment
  • Supporting self-taught learners around the world
  • Creating accessible technical education

Cloud, AI, and Security

  • Deploying AI applications to the cloud
  • Containers, virtual machines, and serverless deployments
  • Why operations and security deserve more classroom attention
  • Introducing secure development practices early
  • The importance of authentication, secrets management, and responsible deployment

Teaching in the AI Era

  • Helping students understand how AI works instead of simply using it
  • Why productive struggle still matters
  • The changing role of educators
  • Balancing AI assistance with independent thinking
  • Preparing students for a future where AI is always available

Final Thoughts

  • AI dependency versus capability
  • Judgment as the skill that matters most
  • Human connection in an AI-driven world
  • Would we actually turn AI off?
  • Finding balance between technological progress and intentional learning

Support Teaching Python

]]> What can small language models teach us that the largest AI models cannot?

Kelly and Julian are joined by Microsoft Cloud Advocate Gwyneth Peña-Sigüenza to explore why working with small language models (SLMs) may be one of the best ways to understand AI. Rather than relying on increasingly capable models that hide complexity, Gwyneth argues that constraints build stronger fundamentals. From prompt engineering and context management to deployment and security, SLMs force learners to think more carefully about how AI actually works.

The conversation extends beyond AI models into learning itself. Gwyneth shares her self-taught journey from growing up on a remote farm in Ecuador with limited internet access to becoming a Microsoft Cloud Advocate and creator of the Learn to Cloud platform. Along the way, the group discusses productive struggle, mentorship, cloud engineering, Python, security, and what educators should prioritize as AI becomes part of every student's learning experience.

The episode closes with a thoughtful discussion about AI dependency, judgment, and whether we would actually flip the switch and turn AI off if given the choice.

Show Notes

Wins of the Week

  • Gwyneth celebrates the New York Knicks reaching the NBA Finals after more than 50 years.
  • Julian shares that he has accepted a new role as a Fractional CTO.
  • Kelly reflects on taking her first real vacation in over a year—and how stepping away from work sparked unexpected ideas.

Small Language Models

  • Why SLMs are valuable teaching tools
  • Learning prompt engineering through constraints
  • Running models locally on everyday hardware
  • When local AI makes sense for classrooms
  • Understanding tokens, context windows, and model limitations
  • Why bigger models can sometimes hide important lessons

Learning Through Constraints

  • Learning to drive in an old manual pickup truck as a metaphor for learning AI fundamentals
  • Why difficult learning experiences often create lasting understanding
  • Building strong habits before relying on more capable tools
  • Consistency versus constantly chasing the newest resource

Self-Taught Learning

  • Growing up without reliable internet in rural Ecuador
  • Downloading YouTube playlists to learn programming offline
  • Developing discipline through limited access
  • The value of repetition and focused practice
  • Why mentorship accelerates learning

Python Journey

  • Transitioning from cloud engineering to Python advocacy
  • Learning Python beyond scripting
  • Discovering what "Pythonic" really means
  • Wrestling with list comprehensions and other advanced syntax
  • Favorite learning resources:
    • Fluent Python
    • Effective Python

Learn to Cloud

  • Building an open-source cloud engineering curriculum
  • Hands-on labs and automated verification
  • AI-assisted assessment
  • Supporting self-taught learners around the world
  • Creating accessible technical education

Cloud, AI, and Security

  • Deploying AI applications to the cloud
  • Containers, virtual machines, and serverless deployments
  • Why operations and security deserve more classroom attention
  • Introducing secure development practices early
  • The importance of authentication, secrets management, and responsible deployment

Teaching in the AI Era

  • Helping students understand how AI works instead of simply using it
  • Why productive struggle still matters
  • The changing role of educators
  • Balancing AI assistance with independent thinking
  • Preparing students for a future where AI is always available

Final Thoughts

  • AI dependency versus capability
  • Judgment as the skill that matters most
  • Human connection in an AI-driven world
  • Would we actually turn AI off?
  • Finding balance between technological progress and intentional learning

Support Teaching Python

]]> Episode 153: 2025 Holiday Gift Guide https://www.teachingpython.fm/153 4e68172d-860d-4658-8425-423da077b84e Sun, 14 Dec 2025 00:00:00 -0500 Sean Tibor and Kelly Paredes 153 2025 Holiday Gift Guide full Sean Tibor and Kelly Paredes Sean, Kelly, and special guest Julian Sequeira from PyBites share their favorite gift ideas for coders, makers, educators, and curious kids. From hoverboards and 3D printers to coding platforms and chess-teaching apps, this episode covers gifts at every price point. The trio discusses hands-on tools like LED pucks and calipers for makers, educational picks like the Secret Coders book series and Dr. Fei-Fei Li's memoir "The Worlds I See," plus tech toys including the Spydroid Loco Hex robot and Hugging Face's Richtie Mini. Whether you're shopping for a student, a fellow teacher, or yourself, there's something here for everyone. 40:12 no <p>Julian Sequeira from PyBites joins Sean and Kelly to share their top holiday gift picks for coders, makers, and educators. This episode features 15+ gift ideas ranging from budget-friendly maker tools to classroom robots—plus book recommendations, coding platforms, and a few surprises.</p> <h2>Show Notes</h2> <h3>Wins of the Week</h3> <ul> <li><strong>Julian:</strong> Staying focused on "the one thing" at PyBites, plus 3D printing a custom cappuccino stencil for his local café</li> <li><strong>Kelly:</strong> Surviving a muddy, clay-covered hill in North Carolina while on vacation</li> <li><strong>Sean:</strong> Designing and 3D printing a custom bracket for his screen door using Fusion 360</li> </ul> <h3>Holiday Gift Ideas</h3> <h4>Julian's Picks</h4> <ol> <li><p><strong>Hoverboard with Go-Kart Attachment</strong> (~$299 AUD) - Two-wheeled self-balancing boards that can convert to a go-kart with a third wheel attachment. Available at <a href="https://hoveroo.com.au" rel="nofollow noopener">Hoveroo</a> in Australia.</p></li> <li><p><strong>Secret Coders Book Series</strong> (~$10-20 USD each) - A six-book graphic novel series that wraps coding puzzles and concepts into mystery stories. Recommended by Faye Shaw from the Boston PyLadies community. Great for ages 8-15.</p></li> <li><p><strong>3D Printer</strong> (~$200-300 USD) - Entry-level printers like the Bambu Lab A1 Mini or Elegoo Neptune 4 Pro have dropped significantly in price. Look for auto bed leveling as a key feature.</p></li> <li><p><strong>Duolingo Chess</strong> (~$13/month with subscription) - A new addition to Duolingo that teaches chess tactics, strategy, and formal terminology through structured lessons. Great for building problem-solving skills.</p></li> <li><p><strong>Classic Video Games (Zelda, Pokémon)</strong> - Story-driven games that build resilience and problem-solving skills, as an alternative to dopamine-heavy platforms like Roblox.</p></li> </ol> <h4>Kelly's Picks</h4> <ol> <li><p><strong>Soccer Bot</strong> (~$59.99) - An indoor soccer training robot that challenges footwork skills. Works best on hard floors.</p></li> <li><p><strong>"The Worlds I See" by Dr. Fei-Fei Li</strong> - Memoir of the computer scientist behind ImageNet and modern image recognition, covering her immigrant journey and rise in AI. A must-read for anyone interested in AI.</p></li> <li><p><strong>LEGO Retro Radio Building Set</strong> (~$99) - A 1970s-style radio that you build, then insert your phone to play music. Features working dials that create authentic radio crackle sounds.</p></li> <li><p><strong>Spydroid Loco Hex Robot</strong> (classroom investment) - A large spider-shaped robot that codes in Python and block programming. Features LIDAR and AI-based mapping. Seen at ISTE.</p></li> <li><p><strong>Richtie Mini from Hugging Face</strong> ($299-$449) - An adorable AI desktop companion robot with onboard models. Two versions: one that connects to your computer and one that's self-contained.</p></li> </ol> <h4>Sean's Picks</h4> <ol> <li><p><strong>LED Pucks (LED 001 Kit)</strong> (~$6-13) - Small USB-powered LED discs perfect for 3D printed projects like planet lamps. Available from Bambu Labs or Amazon. RGB versions include remote controls.</p></li> <li><p><strong>Daily Desk Calendar</strong> (~$15-20) - A throwback gift that provides daily doses of humor, trivia, or inspiration. Suggestions include The Far Side, "They Can Talk," or "How to Win Friends and Influence People."</p></li> <li><p><strong>PyBites Coding Platform</strong> (subscription) - Bite-sized Python challenges for sharpening coding skills. Great for teachers, students, and professionals looking for practical coding practice.</p></li> <li><p><strong>Digital Calipers</strong> (~$40-50) - USB-rechargeable precision measuring tools essential for 3D printing and maker projects. Great for teaching geometry and measurement concepts.</p></li> <li><p><strong>Deburring Tool</strong> (~$10) - A small tool with a curved swiveling blade for cleaning up 3D prints. A quality-of-life improvement for any maker's toolkit.</p></li> </ol> <h3>Links Mentioned</h3> <ul> <li><a href="https://pybit.es" rel="nofollow noopener">PyBites</a> - Python coaching and coding challenges</li> <li><a href="https://hoveroo.com.au" rel="nofollow noopener">Hoveroo</a> - Hoverboards (Australia)</li> <li><a href="https://bambulab.com" rel="nofollow noopener">Bambu Lab</a> - 3D printers and LED pucks</li> <li><a href="https://www.printables.com" rel="nofollow noopener">Printables</a> - 3D printing models</li> <li><a href="https://makerworld.com" rel="nofollow noopener">MakerWorld</a> - 3D printing models</li> <li><a href="https://huggingface.co" rel="nofollow noopener">Hugging Face Richtie Mini</a> - AI companion robot</li> <li><a href="https://duolingo.com" rel="nofollow noopener">Duolingo</a> - Language learning app with chess</li> <li>Secret Coders book series - Available on Amazon</li> <li>"The Worlds I See" by Dr. Fei-Fei Li - Available at bookstores</li> </ul> <h3>Upcoming Events</h3> <ul> <li><strong>PyCon US 2026</strong> - Long Beach, California</li> <li><strong>Education Summit</strong> - Proposals open after the holidays, deadline around March/April</li> <li>Submit proposals when the website opens! Special Guest: Julian Sequeira.</li> </ul> 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 Julian Sequeira from PyBites joins Sean and Kelly to share their top holiday gift picks for coders, makers, and educators. This episode features 15+ gift ideas ranging from budget-friendly maker tools to classroom robots—plus book recommendations, coding platforms, and a few surprises.

Show Notes

Wins of the Week

  • Julian: Staying focused on "the one thing" at PyBites, plus 3D printing a custom cappuccino stencil for his local café
  • Kelly: Surviving a muddy, clay-covered hill in North Carolina while on vacation
  • Sean: Designing and 3D printing a custom bracket for his screen door using Fusion 360

Holiday Gift Ideas

Julian's Picks

  1. Hoverboard with Go-Kart Attachment (~$299 AUD) - Two-wheeled self-balancing boards that can convert to a go-kart with a third wheel attachment. Available at Hoveroo in Australia.

  2. Secret Coders Book Series (~$10-20 USD each) - A six-book graphic novel series that wraps coding puzzles and concepts into mystery stories. Recommended by Faye Shaw from the Boston PyLadies community. Great for ages 8-15.

  3. 3D Printer (~$200-300 USD) - Entry-level printers like the Bambu Lab A1 Mini or Elegoo Neptune 4 Pro have dropped significantly in price. Look for auto bed leveling as a key feature.

  4. Duolingo Chess (~$13/month with subscription) - A new addition to Duolingo that teaches chess tactics, strategy, and formal terminology through structured lessons. Great for building problem-solving skills.

  5. Classic Video Games (Zelda, Pokémon) - Story-driven games that build resilience and problem-solving skills, as an alternative to dopamine-heavy platforms like Roblox.

Kelly's Picks

  1. Soccer Bot (~$59.99) - An indoor soccer training robot that challenges footwork skills. Works best on hard floors.

  2. "The Worlds I See" by Dr. Fei-Fei Li - Memoir of the computer scientist behind ImageNet and modern image recognition, covering her immigrant journey and rise in AI. A must-read for anyone interested in AI.

  3. LEGO Retro Radio Building Set (~$99) - A 1970s-style radio that you build, then insert your phone to play music. Features working dials that create authentic radio crackle sounds.

  4. Spydroid Loco Hex Robot (classroom investment) - A large spider-shaped robot that codes in Python and block programming. Features LIDAR and AI-based mapping. Seen at ISTE.

  5. Richtie Mini from Hugging Face ($299-$449) - An adorable AI desktop companion robot with onboard models. Two versions: one that connects to your computer and one that's self-contained.

Sean's Picks

  1. LED Pucks (LED 001 Kit) (~$6-13) - Small USB-powered LED discs perfect for 3D printed projects like planet lamps. Available from Bambu Labs or Amazon. RGB versions include remote controls.

  2. Daily Desk Calendar (~$15-20) - A throwback gift that provides daily doses of humor, trivia, or inspiration. Suggestions include The Far Side, "They Can Talk," or "How to Win Friends and Influence People."

  3. PyBites Coding Platform (subscription) - Bite-sized Python challenges for sharpening coding skills. Great for teachers, students, and professionals looking for practical coding practice.

  4. Digital Calipers (~$40-50) - USB-rechargeable precision measuring tools essential for 3D printing and maker projects. Great for teaching geometry and measurement concepts.

  5. Deburring Tool (~$10) - A small tool with a curved swiveling blade for cleaning up 3D prints. A quality-of-life improvement for any maker's toolkit.

Links Mentioned

  • PyBites - Python coaching and coding challenges
  • Hoveroo - Hoverboards (Australia)
  • Bambu Lab - 3D printers and LED pucks
  • Printables - 3D printing models
  • MakerWorld - 3D printing models
  • Hugging Face Richtie Mini - AI companion robot
  • Duolingo - Language learning app with chess
  • Secret Coders book series - Available on Amazon
  • "The Worlds I See" by Dr. Fei-Fei Li - Available at bookstores

Upcoming Events

  • PyCon US 2026 - Long Beach, California
  • Education Summit - Proposals open after the holidays, deadline around March/April
  • Submit proposals when the website opens!

Special Guest: Julian Sequeira.

Support Teaching Python

]]> Julian Sequeira from PyBites joins Sean and Kelly to share their top holiday gift picks for coders, makers, and educators. This episode features 15+ gift ideas ranging from budget-friendly maker tools to classroom robots—plus book recommendations, coding platforms, and a few surprises.

Show Notes

Wins of the Week

  • Julian: Staying focused on "the one thing" at PyBites, plus 3D printing a custom cappuccino stencil for his local café
  • Kelly: Surviving a muddy, clay-covered hill in North Carolina while on vacation
  • Sean: Designing and 3D printing a custom bracket for his screen door using Fusion 360

Holiday Gift Ideas

Julian's Picks

  1. Hoverboard with Go-Kart Attachment (~$299 AUD) - Two-wheeled self-balancing boards that can convert to a go-kart with a third wheel attachment. Available at Hoveroo in Australia.

  2. Secret Coders Book Series (~$10-20 USD each) - A six-book graphic novel series that wraps coding puzzles and concepts into mystery stories. Recommended by Faye Shaw from the Boston PyLadies community. Great for ages 8-15.

  3. 3D Printer (~$200-300 USD) - Entry-level printers like the Bambu Lab A1 Mini or Elegoo Neptune 4 Pro have dropped significantly in price. Look for auto bed leveling as a key feature.

  4. Duolingo Chess (~$13/month with subscription) - A new addition to Duolingo that teaches chess tactics, strategy, and formal terminology through structured lessons. Great for building problem-solving skills.

  5. Classic Video Games (Zelda, Pokémon) - Story-driven games that build resilience and problem-solving skills, as an alternative to dopamine-heavy platforms like Roblox.

Kelly's Picks

  1. Soccer Bot (~$59.99) - An indoor soccer training robot that challenges footwork skills. Works best on hard floors.

  2. "The Worlds I See" by Dr. Fei-Fei Li - Memoir of the computer scientist behind ImageNet and modern image recognition, covering her immigrant journey and rise in AI. A must-read for anyone interested in AI.

  3. LEGO Retro Radio Building Set (~$99) - A 1970s-style radio that you build, then insert your phone to play music. Features working dials that create authentic radio crackle sounds.

  4. Spydroid Loco Hex Robot (classroom investment) - A large spider-shaped robot that codes in Python and block programming. Features LIDAR and AI-based mapping. Seen at ISTE.

  5. Richtie Mini from Hugging Face ($299-$449) - An adorable AI desktop companion robot with onboard models. Two versions: one that connects to your computer and one that's self-contained.

Sean's Picks

  1. LED Pucks (LED 001 Kit) (~$6-13) - Small USB-powered LED discs perfect for 3D printed projects like planet lamps. Available from Bambu Labs or Amazon. RGB versions include remote controls.

  2. Daily Desk Calendar (~$15-20) - A throwback gift that provides daily doses of humor, trivia, or inspiration. Suggestions include The Far Side, "They Can Talk," or "How to Win Friends and Influence People."

  3. PyBites Coding Platform (subscription) - Bite-sized Python challenges for sharpening coding skills. Great for teachers, students, and professionals looking for practical coding practice.

  4. Digital Calipers (~$40-50) - USB-rechargeable precision measuring tools essential for 3D printing and maker projects. Great for teaching geometry and measurement concepts.

  5. Deburring Tool (~$10) - A small tool with a curved swiveling blade for cleaning up 3D prints. A quality-of-life improvement for any maker's toolkit.

Links Mentioned

  • PyBites - Python coaching and coding challenges
  • Hoveroo - Hoverboards (Australia)
  • Bambu Lab - 3D printers and LED pucks
  • Printables - 3D printing models
  • MakerWorld - 3D printing models
  • Hugging Face Richtie Mini - AI companion robot
  • Duolingo - Language learning app with chess
  • Secret Coders book series - Available on Amazon
  • "The Worlds I See" by Dr. Fei-Fei Li - Available at bookstores

Upcoming Events

  • PyCon US 2026 - Long Beach, California
  • Education Summit - Proposals open after the holidays, deadline around March/April
  • Submit proposals when the website opens!

Special Guest: Julian Sequeira.

Support Teaching Python

]]> Episode 142: Middle School Magic: Integrating AI, Data Science, and Computational Thinking with Kelly Powers https://www.teachingpython.fm/142 28ac0fd5-3b5f-46c2-9dae-56480c23a1d2 Sun, 22 Dec 2024 14:00:00 -0500 Sean Tibor and Kelly Paredes 142 Middle School Magic: Integrating AI, Data Science, and Computational Thinking with Kelly Powers full Sean Tibor and Kelly Paredes In Episode 142 of Teaching Python, hosts Sean Tibor and Kelly Schuster-Paredes converse with Kelly Powers, a middle school educator and curriculum designer. They delve into a myriad of engaging topics, including the intricacies of teaching computational thinking skills, the integration of AI and data science into the middle school curriculum, and the unique challenges and joys of teaching middle school students. The episode is packed with insights on fostering creativity, collaboration, and critical thinking in the classroom. Don't miss this enlightening discussion for educators and tech enthusiasts alike! 1:00:01 no <p>In Episode 142 of Teaching Python, hosts Sean Tibor and Kelly Schuster-Paredes are joined by Kelly Powers, a fellow middle school educator and curriculum designer, to explore the dynamic world of middle school instruction. As a passionate advocate for computational thinking, Powers shares valuable insights on introducing students to the concepts of AI, data science, and cybersecurity in a way that is both rigorous and joyful.</p> <h2>Topics Covered</h2> <ul> <li><strong>Engaging Middle School Students</strong>: Strategies for capturing and maintaining student interest.</li> <li><strong>Creativity and Collaboration</strong>: How to foster a collaborative environment that inspires creativity.</li> <li><strong>Core Computational Concepts</strong>: Real-world applications that make these concepts accessible and interesting.</li> <li><strong>Data Science Projects</strong>: Practical advice on integrating data science into your curriculum.</li> <li><strong>Generative AI Ethics</strong>: Discussing the ethical use of AI in education.</li> <li><strong>Python as a Teaching Tool</strong>: Exploring the versatility of Python for various projects.</li> </ul> <h2>Key Takeaways</h2> <ul> <li><strong><em>Integrating Computational Thinking Skills</em></strong>: Tips on how to weave these skills into everyday classroom routines.</li> <li><strong><em>Teamwork and Communication</em></strong>: The importance of teamwork and effective communication in coding projects.</li> <li><strong><em>Engaging Lessons with Python</em></strong>: How Python can be used to create engaging and meaningful projects for students.</li> </ul> <h2>About Kelly Powers</h2> <p>Kelly Powers transitioned from the business world to education, bringing a fresh perspective on teaching computational thinking. She offers invaluable insights into making rigorous and joyful learning experiences for middle school students.</p> <p>Whether you are an experienced teacher or new to the field, this episode is packed with actionable ideas and inspirational moments that will help you create a more engaging and effective learning environment.</p> <p>Tune in for a lively conversation that celebrates the magic of middle school teaching and the endless possibilities of computer science education.</p> <p><strong>Listen to the episode</strong>: <a href="https://www.teachingpython.fm/142" rel="nofollow noopener">Teaching Python Podcast</a></p> <p><strong>Follow us on Social Media</strong>:</p> <ul> <li><a href="https://twitter.com/teachingpython" rel="nofollow noopener">Twitter</a></li> <li><a href="https://www.facebook.com/teachingpython" rel="nofollow noopener">Facebook</a></li> <li><a href="https://www.linkedin.com/company/teaching-python" rel="nofollow noopener">LinkedIn</a> ``` Special Guest: Kelly Powers.</li> </ul> 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 In Episode 142 of Teaching Python, hosts Sean Tibor and Kelly Schuster-Paredes are joined by Kelly Powers, a fellow middle school educator and curriculum designer, to explore the dynamic world of middle school instruction. As a passionate advocate for computational thinking, Powers shares valuable insights on introducing students to the concepts of AI, data science, and cybersecurity in a way that is both rigorous and joyful.

Topics Covered

  • Engaging Middle School Students: Strategies for capturing and maintaining student interest.
  • Creativity and Collaboration: How to foster a collaborative environment that inspires creativity.
  • Core Computational Concepts: Real-world applications that make these concepts accessible and interesting.
  • Data Science Projects: Practical advice on integrating data science into your curriculum.
  • Generative AI Ethics: Discussing the ethical use of AI in education.
  • Python as a Teaching Tool: Exploring the versatility of Python for various projects.

Key Takeaways

  • Integrating Computational Thinking Skills: Tips on how to weave these skills into everyday classroom routines.
  • Teamwork and Communication: The importance of teamwork and effective communication in coding projects.
  • Engaging Lessons with Python: How Python can be used to create engaging and meaningful projects for students.

About Kelly Powers

Kelly Powers transitioned from the business world to education, bringing a fresh perspective on teaching computational thinking. She offers invaluable insights into making rigorous and joyful learning experiences for middle school students.

Whether you are an experienced teacher or new to the field, this episode is packed with actionable ideas and inspirational moments that will help you create a more engaging and effective learning environment.

Tune in for a lively conversation that celebrates the magic of middle school teaching and the endless possibilities of computer science education.

Listen to the episode: Teaching Python Podcast

Follow us on Social Media:

Special Guest: Kelly Powers.

Support Teaching Python

Links:

]]> In Episode 142 of Teaching Python, hosts Sean Tibor and Kelly Schuster-Paredes are joined by Kelly Powers, a fellow middle school educator and curriculum designer, to explore the dynamic world of middle school instruction. As a passionate advocate for computational thinking, Powers shares valuable insights on introducing students to the concepts of AI, data science, and cybersecurity in a way that is both rigorous and joyful.

Topics Covered

  • Engaging Middle School Students: Strategies for capturing and maintaining student interest.
  • Creativity and Collaboration: How to foster a collaborative environment that inspires creativity.
  • Core Computational Concepts: Real-world applications that make these concepts accessible and interesting.
  • Data Science Projects: Practical advice on integrating data science into your curriculum.
  • Generative AI Ethics: Discussing the ethical use of AI in education.
  • Python as a Teaching Tool: Exploring the versatility of Python for various projects.

Key Takeaways

  • Integrating Computational Thinking Skills: Tips on how to weave these skills into everyday classroom routines.
  • Teamwork and Communication: The importance of teamwork and effective communication in coding projects.
  • Engaging Lessons with Python: How Python can be used to create engaging and meaningful projects for students.

About Kelly Powers

Kelly Powers transitioned from the business world to education, bringing a fresh perspective on teaching computational thinking. She offers invaluable insights into making rigorous and joyful learning experiences for middle school students.

Whether you are an experienced teacher or new to the field, this episode is packed with actionable ideas and inspirational moments that will help you create a more engaging and effective learning environment.

Tune in for a lively conversation that celebrates the magic of middle school teaching and the endless possibilities of computer science education.

Listen to the episode: Teaching Python Podcast

Follow us on Social Media:

Special Guest: Kelly Powers.

Support Teaching Python

Links:

]]> Episode 114: The EduBlocks Evolution and Josh Lowe https://www.teachingpython.fm/114 64a4578e-e53f-4d7c-b5eb-be420b096638 Sun, 06 Aug 2023 09:00:00 -0400 Sean Tibor and Kelly Paredes 114 The EduBlocks Evolution and Josh Lowe full Sean Tibor and Kelly Paredes The Teaching Python podcast speaks with returning guest Josh Lowe, creator of Edublocks and newly installed Software Engineer at Anaconda. 51:02 no <p>Way back on <a href="https://www.teachingpython.fm/13" rel="nofollow noopener">Episode 13</a>, we interviewed Josh Lowe, then 15 years old and the creator of <a href="https://edublocks.org/" rel="nofollow noopener">EduBlocks</a>. When Josh was 12, he started a Saturday afternoon project to make a block-based coding IDE that generated Python code. Flash forward seven years and Josh still maintains EduBlocks as a software engineer on behalf of <a href="https://www.anaconda.com/" rel="nofollow noopener">Anaconda</a>. </p> <p>This week, Kelly and Sean caught up with Josh to learn about his educational journey since we last spoke with him, the latest developments on EduBlocks, as well as the new direction enabled by Anaconda's <a href="https://www.anaconda.com/press/anaconda-acquires-edublocks-to-empower-k-12-data-literacy-and-expand-educational-offerings" rel="nofollow noopener">purchase of EduBlocks in May 2023</a>. Special Guest: Josh Lowe.</p> EduBlocks, EdTech, Education Technology, Coding for Kids, Anaconda Acquisition, Young Creator, Teen Entrepreneur, Learning Innovation, Coding Education, Student Empowerment, Education Revolution, Inspirational Journey, Young Visionary, Creative Learning, Curriculum Enhancement, Transformative Education, Student-Centric Learning, Tech Industry Impact, Educational Empowerment, Innovation in Education Way back on Episode 13, we interviewed Josh Lowe, then 15 years old and the creator of EduBlocks. When Josh was 12, he started a Saturday afternoon project to make a block-based coding IDE that generated Python code. Flash forward seven years and Josh still maintains EduBlocks as a software engineer on behalf of Anaconda.

This week, Kelly and Sean caught up with Josh to learn about his educational journey since we last spoke with him, the latest developments on EduBlocks, as well as the new direction enabled by Anaconda's purchase of EduBlocks in May 2023.

Special Guest: Josh Lowe.

Support Teaching Python

Links:

  • Edublocks — EduBlocks is a free tool by Anaconda that helps anyone learn how to code with text-based languages like Python or HTML using a familiar drag-and-drop blocks system
  • Anaconda
  • Anaconda Press Release Announcing Purchase of EduBlocks — Anaconda Inc., provider of the world’s most popular data science platform, today announced the acquisition of EduBlocks, a free, web-based, drag-and-drop coding platform built to help K-12 students learn fundamental skills. With EduBlocks, Anaconda expands its reach and offerings for K-12 schools as well as for beginner-level professionals.
]]> Way back on Episode 13, we interviewed Josh Lowe, then 15 years old and the creator of EduBlocks. When Josh was 12, he started a Saturday afternoon project to make a block-based coding IDE that generated Python code. Flash forward seven years and Josh still maintains EduBlocks as a software engineer on behalf of Anaconda.

This week, Kelly and Sean caught up with Josh to learn about his educational journey since we last spoke with him, the latest developments on EduBlocks, as well as the new direction enabled by Anaconda's purchase of EduBlocks in May 2023.

Special Guest: Josh Lowe.

Support Teaching Python

Links:

  • Edublocks — EduBlocks is a free tool by Anaconda that helps anyone learn how to code with text-based languages like Python or HTML using a familiar drag-and-drop blocks system
  • Anaconda
  • Anaconda Press Release Announcing Purchase of EduBlocks — Anaconda Inc., provider of the world’s most popular data science platform, today announced the acquisition of EduBlocks, a free, web-based, drag-and-drop coding platform built to help K-12 students learn fundamental skills. With EduBlocks, Anaconda expands its reach and offerings for K-12 schools as well as for beginner-level professionals.
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