The discussion covers the current landscape of LLMs in coding education, from the benefits of faster iteration cycles to the risks of students losing that crucial "aha moment" when they solve problems independently. Simon shares insights on prompt injection vulnerabilities, the importance of local models for privacy, and why he believes LLMs are much harder to use effectively than most people realize.

Key topics include:

• Educational Strategy: When to introduce AI tools vs. building foundational skills first
• Security Concerns: Prompt injection attacks and their implications for educational tools
• Student Engagement: Maintaining motivation and problem-solving skills in an AI world
  
• Practical Applications: Using LLMs for code review, debugging, and rapid prototyping
• Privacy Issues: Understanding data collection and training practices of major AI companies
• Local Models: Running AI tools privately on personal devices
• The "Jagged Frontier": Why LLMs excel at some tasks while failing at others

Simon brings 20 years of Django experience and deep expertise in both web development and AI tooling to discuss how educators can thoughtfully integrate these powerful but unpredictable tools into their classrooms. The conversation balances excitement about AI's potential with realistic assessments of its limitations and risks.

Whether you're a coding educator trying to navigate the AI revolution or a developer interested in the intersection of education and technology, this episode provides practical insights for working with LLMs responsibly and effectively.

Resources mentioned:

• Simon's blog: simonwillison.net
• Mission Encodable curriculum
• Datasette and LLM tools
• GitHub Codespaces for safe AI experimentation

Special Guest: Simon Willison.

Support Teaching Python

Support Teaching Python

Special Guest: Cecilia Celeste Danesi.

Support Teaching Python

Links:

• The Empire of Algorithms — In today's world, Artificial Intelligence (AI) is playing an increasingly central role in our lives.
• Abstract, ubiquitous and opaque: The challenges of AI regulation — Prof Cecilia Danesi discusses the ethical governance of AI and the difficulty of balance in AI regulation.
• El imperio de los algoritmos | Cecilia Danesi
• Inteligencia Artificial y Derecho | Cecilia Danesi

1. Personal Updates
   • Sean Tibor shares his excitement about meeting his overseas team members for the first time.
   • He also expresses pride at watching his first batch of students graduate and choose to study in computer science and related fields.
2. Future Learning Journeys
   • Kelly Schuster-Paredes reflects on the exciting learning opportunities the students will undertake.
   • She expresses hope that these students will return to share their experiences and insights (Teaching Python website).
3. Inviting Past Students on the Podcast
   • Both hosts discuss the possibility of inviting former students to the podcast as guests.
4. Current Students Excelling
   • Kelly shares an anecdote about a 6th grader surpassing her knowledge in Python's Turtle module.
5. Plans for the Podcast
   • Return in June with the first guest speaker of the year.
   • Considering a summer sabbatical to prepare for the upcoming school year.
   • Plans to enhance their Patreon community with exclusive benefits.
6. Reach Out!
   • Sean invites listeners to reach out via social platforms such as Twitter, Facebook, and LinkedIn.
   • He also encourages feedback on potential topics or guests for future podcast episodes through their website contact form.
7. Signing Off
   • The hosts sign off, promising more Python learning insights and experiences in the next episodes.

For more details, visit the Teaching Python Podcast website.

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One of the recommended books is "The Missing ReadMe" which is a guide for new engineers to understand and navigate open-source projects. Another book recommended is "Fundamentals of Artificial Intelligence" which is a comprehensive introduction to the field of artificial intelligence and its underlying algorithms and techniques. They also recommend "Accelerate: The Science of Lean Software and DevOps" which is a practical guide with industry data about the benefits of DevOps. "Fluent Python" is another book they recommend which is a guide to writing better and more idiomatic Python code. Finally, they recommend the new edition of "Python Crash Course" by Eric Matthes which is a fast-paced, thorough introduction to Python programming for beginners.

It's a great episode for anyone who is interested in learning more about the Python programming language, and the PyCon Education Summit, as well as reading some great books on the topic. The episode is available on the Teaching Python podcast website, and the links to the books can also be found there.

Support Teaching Python

Links:

• Amazon.com: Storytelling with Data: A Data Visualization Guide for Business Professionals eBook : Knaflic, Cole Nussbaumer: Kindle Store — Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story.
• How Charts Lie: Getting Smarter about Visual Information , Cairo, Alberto - Amazon.com — Today, public conversations are increasingly driven by numbers. While charts, infographics, and diagrams can make us smarter, they can also deceive—intentionally or unintentionally. To be informed citizens, we must all be able to decode and use the visual information that politicians, journalists, and even our employers present us with each day. Demystifying an essential new literacy for our data-driven world, How Charts Lie examines contemporary examples ranging from election result infographics to global GDP maps and box office record charts, as well as an updated afterword on the graphics of the COVID-19 pandemic.
• Amazon.com: Truthful Art, The: Data, Charts, and Maps for Communication (Voices That Matter) eBook : Cairo, Alberto: Books — Every day, at work, home, and school, we are bombarded with vast amounts of free data collected and shared by everyone and everything from our co-workers to our calorie counters. In this highly anticipated follow-up to The Functional Art—Alberto Cairo’s foundational guide to understanding information graphics and visualization—the respected data visualization professor explains in clear terms how to work with data, discover the stories hidden within, and share those stories with the world in the form of charts, maps, and infographics. 
• Functional Art, The: An introduction to information graphics and visualization (Voices That Matter) 1, Cairo, Alberto, eBook - Amazon.com — Unlike any time before in our lives, we have access to vast amounts of free information. With the right tools, we can start to make sense of all this data to see patterns and trends that would otherwise be invisible to us. By transforming numbers into graphical shapes, we allow readers to understand the stories those numbers hide. In this practical introduction to understanding and using information graphics, you’ll learn how to use data visualizations as tools to see beyond lists of numbers and variables and achieve new insights into the complex world around us.
• The Missing README: A Guide for the New Software Engineer , Riccomini, Chris, Ryaboy, Dmitriy, eBook - Amazon.com — Key concepts and best practices for new software engineers — stuff critical to your workplace success that you weren’t taught in school.
• Amazon.com: Fundamentals of Artificial Intelligence: Volume 1 (Introduction to Artificial Intelligence) eBook : Talagala, Nisha, Ghanta, Sindhu: Kindle Store — This book is for K12 students who want to learn AI, for teachers who want to teach AI and bring AI into the classroom, and for any individual who wants to understand AI in a simple and effective way.
• Accelerate: The Science of Lean Software and DevOps: Building and Scaling High Performing Technology Organizations 1, Forsgren PhD, Nicole, Humble, Jez, Kim, Gene, eBook - Amazon.com — How can we apply technology to drive business value? For years, we've been told that the performance of software delivery teams doesn't matter―that it can't provide a competitive advantage to our companies. Through four years of groundbreaking research to include data collected from the State of DevOps reports conducted with Puppet, Dr. Nicole Forsgren, Jez Humble, and Gene Kim set out to find a way to measure software delivery performance―and what drives it―using rigorous statistical methods. This book presents both the findings and the science behind that research, making the information accessible for readers to apply in their own organizations.
• Amazon.com: Leading with AI and Analytics: Build Your Data Science IQ to Drive Business Value eBook : Anderson, Eric, Zettelmeyer, Florian: Kindle Store — Data. It’s the benchmark that informs corporate projections, decision-making, and analysis. But, why do many organizations that see themselves as data-driven fail to thrive? In Leading with AI and Analytics, two renowned experts from the Kellogg School of Management show business leaders how to transform their organization to become evidence-driven, which leads to real, measurable changes that can help propel their companies to the top of their industries.
• Fluent Python 2, Ramalho, Luciano, eBook - Amazon.com — Don't waste time bending Python to fit patterns you've learned in other languages. Python's simplicity lets you become productive quickly, but often this means you aren't using everything the language has to offer. With the updated edition of this hands-on guide, you'll learn how to write effective, modern Python 3 code by leveraging its best ideas.
• Amazon.com: Limitless: Upgrade Your Brain, Learn Anything Faster, and Unlock Your Exceptional Life eBook : Kwik, Jim: Kindle Store — JIM KWIK, the world's #1 brain coach, has written the owner's manual for mental expansion and brain fitness. Limitless gives people the ability to accomplish more--more productivity, more transformation, more personal success, and business achievement, by changing their Mindset, Motivation, and Methods.
• Python Crash Course, 3rd Edition: A Hands-On, Project-Based Introduction to Programming , Matthes, Eric, eBook - Amazon.com — Python Crash Course is the world’s best-selling guide to the Python programming language. This fast-paced, thorough introduction will have you writing programs, solving problems, and developing functioning applications in no time.
• The Book of Dash: Build Dashboards with Python and Plotly , Schroeder, Adam, Mayer, Christian, Ward, Ann Marie, eBook - Amazon.com — A swift and practical introduction to building interactive data visualization apps in Python, known as dashboards. You’ve seen dashboards before; think election result visualizations you can update in real time, or population maps you can filter by demographic. With the Python Dash library you’ll create analytic dashboards that present data in effective, usable, elegant ways in just a few lines of code.

“Machine learning systems are all around us. We all use, interact with, or are affected by, machine learning systems every day. If our goal is to help children to understand how the world around them works, then understanding machine learning is an important topic. Also, the impact machine learning systems will have on our lives will only continue to increase. There is a growing need for society to make decisions about how we want such systems to be managed, controlled, and regulated. Understanding machine learning is an essential topic to help the next generation engage in that societal debate.”
Dale Lane IBM Interview

Special Guest: Dale Lane.

Support Teaching Python

Links:

• Machine Learning for Kids — This free tool introduces machine learning by providing hands-on experiences for training machine learning systems and building things with them.
• You Look Like a Thing and I Love You: How Artificial Intelligence Works and Why It's Making the World a Weirder Place: Shane, Janelle: 9780316525244: Amazon.com: Books — "You look like a thing and I love you" is one of the best pickup lines ever... according to an artificial intelligence trained by scientist Janelle Shane, creator of the popular blog AI Weirdness. She creates silly AIs that learn how to name paint colors, create the best recipes, and even flirt (badly) with humans--all to understand the technology that governs so much of our daily lives.
• Amazon.com: Explain the Cloud Like I'm 10 (9780979707117): Hoff, Todd: Books — What is the cloud? Discover the secrets of the cloud through simple explanations that use lots of pictures and lots of examples. Why learn about the cloud? It's the future. The cloud is the future of software, the future of computing, and the future of business. If you're not up on the cloud the future will move on without you. Don't miss out. Not a geek? Don't worry. I wrote this book for you! After reading Explain Cloud Like I'm 10,

Support Teaching Python

Links:

• Pine Crest Innovation Institute
• Department of Philosophy - Dietrich College of Humanities and Social Sciences - Carnegie Mellon University — Our vision of philosophy is interdisciplinary, rigorous, applied and relevant. We do research on the foundations of science, computation, mathematics, rationality, causation, cognitive science, and other disciplines. We publish in philosophy, mathematics, computer science, biology, medicine, neuroscience, statistics, social science, educational research, linguistics, and other disciplines.
• Kelly's Jupyter Notebook
• About the MPCR | Machine Perception and Cognitive Robotics — The Machine Perception and Cognitive Robotic Lab (MPCR) is dedicated to applying, creating, and merging cutting edge technology across all disciplines.
• micro:bit holder by geekmomprojects - Thingiverse — This stand holds 20 micro:bit boards vertically. It's a good way to organize and quickly count the micro:bit boards in a classroom setting.