Teaching Python26 Nov 2025

Episode 152: High School CS with Quincy Tennyson

In this episode, we sit down with Quincy Tennyson, who teaches an impressive four-year computer science pathway at Fern Creek High School. Quincy's background in the Marine Corps and as a network engineer brings a unique perspective to CS education. He discusses his curriculum progression from introductory courses through AP Computer Science Principles (heavily inspired by UC Berkeley's CS61A), AP Computer Science A (Java), and a culminating Project-Based Programming course. We dive deep into his philosophy of being a "warm demander" - setting high expectations while providing intensive coaching and support.

The conversation touches on several compelling topics including teaching agile methodology to high school students, the importance of transparency about failure, and how behavioral economics concepts (from thinkers like Daniel Kahneman) inform his approach to helping students understand their own thinking processes. Quincy also shares insights on supporting underserved students, running a successful Girls Who Code chapter, and navigating the integration of AI tools in the classroom. His students' enthusiasm at PyCon 2024 was infectious, and this episode reveals the thoughtful pedagogy behind their success.

Key resources mentioned include CS61A from UC Berkeley, CodeHS, Code.org, Sandra McGuire's book "Teach Students How to Learn," Eric Matthes' Python Crash Course, and Al Sweigart's educational resources including his new Buttonpad library for Tkinter.

Special Guest: Quincy Tennyson.

Denne episoden er hentet fra en åpen RSS-feed og er ikke publisert av Podme. Den kan derfor inneholde annonser.

Episoder(164)

Episode 163: How Do You Find Time to Keep Learning?

How do you keep learning when there never seems to be enough time? The answer may be less about finding more time and more about building learning into the way you already work, solve problems, use A...

2 Okt 52min

Episode 162: What Does “Teaching Python” Mean in 2026?

What does teaching Python mean in 2026, when AI can generate code and programming sits inside a much larger computing landscape? Teaching Python started as a podcast about teaching programming in the ...

19 Sep 29min

Episode 161: Teaching Hard Things Simply

In this episode of Teaching Python, Kelly and Julian welcome IBM Distinguished Engineer Jeff Crume to talk about teaching hard things simply. The conversation begins with Jeff’s short, visually driv...

7 Aug 1h 3min

Episode 160: Data Science, Math and Python, Oh My!

In this episode, Kelly Schuster-Paredes speaks with Mahmoud Harding about his work in data science education and the way he thinks about teaching Python, R, and statistics. Mahmoud explains that he is...

16 Jul 1h

Episode 159: Big Lessons from Small Models with Gwyneth Peña‑Siguenza

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 mod...

22 Jun 56min

Episode 158: Will Vincent on Django, AI Coding, and Why Fundamentals Still Matter

In this episode, Python Developer Advocate and author Will Vincent joins the hosts to discuss the lasting appeal of Django, changes in how people learn web development, and the ways AI is reshaping so...

10 Jun 1h 12min

Episode 157: Philip Guo: The Code Runs. But Do You Understand It?

Kelly talks with Philip Guo, creator of Python Tutor, about how the tool helps students trace code and understand programming basics. They also discuss the challenges AI-generated code creates in the ...

30 Mai 53min

Episode 156: When Code Leaves the Screen

In this episode of Teaching Python, Kelly Schuster-Paredes and Julian Sequeira are joined by engineer and maker Todd Kurt to discuss what happens when code leaves the screen and starts interacting wit...

23 Mai 56min