Teaching Python

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 driven videos and the studio setup behind them, including the lightboard format, the editing process, and the amount of planning needed to turn a 15-minute explanation into something clear and usable. They then turn to the challenge of explaining complex ideas in a way that fits the audience. Jeff describes how he chooses topics from his work with clients, why he thinks teaching deepens his own understanding, and how he adapts for YouTube, classrooms, and conference talks. He emphasizes brevity, structure, and using visuals so viewers are not faced with a talking head and a blank background. A major part of the discussion focuses on AI, the humanities, and education. Jeff explains why he believes the humanities are essential for understanding meaning, purpose, truth, and context, and why those questions matter when using AI. He argues that AI should be treated as a tool to augment learning rather than something to exclude from classrooms. The conversation also covers cybersecurity and practical AI risks. Jeff discusses passwords versus passkeys, phishing, public chatbots, data privacy, cloud services, and the security concerns around agents and connected tools. He argues for private instances, stronger security practices, and doing security earlier in the process. Near the end, Jeff highlights communication, curiosity, and critical thinking as key skills for students. He also points listeners to IBM SkillsBuild and Coursera for training, and closes by encouraging lifelong learning in a fast-changing field.Special Guest: Jeff Crume.Support Teaching Python

In episode 145 of Teaching Python, Sean Tibor and Kelly Schuster-Paredes celebrate their six-year podcast anniversary and discuss the shifts within computer science education and the growing influence of AI. They both reflect on the podcast’s journey, their experiences with Blue Sky, and the milestone of over 500,000 downloads. The conversation delves into the changing landscape of tech roles, emphasizing the importance of foundational coding skills and computational thinking, regardless of emerging technologies like AI. They underline how coding remains a key skill that enables personal growth and opens vast opportunities, even in the face of fast-evolving tech sectors. Our hosts also highlight their exciting upcoming engagements, including the FETC conference and the Pine Crest Innovation Institute, encouraging listeners to remain adaptable and open to new learning avenues. Furthermore, they discuss the concept of adapting computer science curriculums to reflect real-world applications and evolving job markets, focusing on how to better prepare students for future careers. With a mix of personal anecdotes and professional insights, this episode offers a heartfelt look at the impact of teaching coding and the continuous evolution in education and technology.Support Teaching PythonLinks:Learn VIM while playing a game - VIM Adventures — Learning VIM while playing a game Teaching Python Podcast (@teachingpython.fm) — Bluesky — Teaching Python on Bluesky Sean Tibor (@seantibor.com) — Bluesky — Sean's profile on Bluesky Kelly Paredes (@kellypared.bsky.social) — Bluesky — Kelly's profile on Bluesky Future of Education Technology Conference | FETC 2025 Pine Crest School's Innovation Institute Bett UK: Leading EdTech Event | 22-24 Jan 2025, ExCeL London Top announcements of AWS re:Invent 2024 | AWS News Blog

In Episode 143 of Teaching Python, hosts Sean Tibor and Kelly Schuster-Paredes engage in a compelling conversation with Dr. John Chapin, a renowned computer science educator and presenter at CSTA. As the CS Pathway Leader at the Academies of Loudoun, Dr. Chapin brings over a decade of experience in primary and secondary education, creating and implementing rigorous curricula for post-AP CS students. He shares insights into the transformative power of Computational Thinking 2.0, emphasizing the importance of Python and data science in today's educational landscape. Listeners will gain a deeper understanding of how integrating machine learning, data analytics, and mobile app development into CS education can foster a culture of inquiry, creativity, and collaboration among students and educators. Throughout the episode, Dr. Chapin discusses his recent research on the impact of whiteboarding on student self-efficacy in CS1 classes, as presented at the Association for Computing Machinery's Global Computer Education Conference (CompEd2023). He also shares his experiences conducting professional development workshops for CS teachers across Virginia and his efforts to align CS programs with the evolving needs of the workforce and society. This episode is a must-listen for educators, administrators, and anyone passionate about the future of computer science education, offering actionable ideas and inspiration to enhance their teaching practices and curriculum design.Special Guest: Dr. John Chapin.Support Teaching PythonLinks:(PDF) CT 2.0 A Neural Network Playground — Tinker With a Neural Network Right Here in Your Browser. Don’t Worry, You Can’t Break It. We Promise. Teach, learn, and make with the Raspberry Pi Foundation — Discover world-leading curricula, resources, and professional development to support the teaching and learning of AI literacy. We bring together original research, industry expertise, and practical classroom experience to help you bring the excitement of AI into your classroom. Machine Learning for Kids ACM CompEd Home - ACM CompEd About The Coalition | Data Science for Everyone AI by Hand ✍️ | Tom Yeh | Substack

Join hosts Kelly Schuster-Paredes and Sean Tibor as they welcome esteemed Python expert Trey Hunner to the show. This episode is a delightful mix of practical insights, engaging stories, and thought-provoking discussions about Python and teaching. Trey shares his experiences with listeners, starting with his recent venture into launching a 10-week Python course called Python High Five. He talks about the excitement and challenges of teaching across different time zones with this unique setup, highlighting the importance of accountability and the fun of learning alongside his students. Throughout the episode, Sean and Kelly discuss the evolving landscape of AI and its impact on learning. Trey emphasizes the critical skill of asking the right questions, saying, "Knowing how to use that tool is a really valuable thing, but also knowing what to stick into the tool and how to evaluate the output of the tool is a really valuable thing." The conversation transitions into the heart of Python programming, where Trey, Sean, and Kelly share their favorite features and nuances of Python. They explore the value of looping helpers and marvel at the elegance and simplicity of Python's tools and functions. Sean recalls a memorable teaching moment about Python turtle graphics, reflecting on the joy and discovery that comes with coding: "It was so cool that this sixth grader showed me how to do it." This episode is not just about technical insights but also about the joy of teaching and learning. Trey, Kelly, and Sean discuss strategies for balancing the basics with advanced learning and the importance of having fun in the process. Join them for a warm, inclusive conversation that invites you to be part of their journey through the wonders of Python programming.Special Guest: Trey Hunner.Support Teaching PythonLinks:Python Morsels: Write better Python code — Learning efficiently requires planning a path that repeatedly answers the question what skill should I learn next and how best can I learn it? Instead of wading through blog posts and YouTube videos in search of the next thing to learn, I can guide you. My name is Trey Hunner and I created Python Morsels to give life-long learners a low-stress way to improve their Python skills. PEP 636 – Structural Pattern Matching: Tutorial | peps.python.org — As an example to motivate this tutorial, you will be writing a text adventure. That is a form of interactive fiction where the user enters text commands to interact with a fictional world and receives text descriptions of what happens. Commands will be simplified forms of natural language like get sword, attack dragon, go north, enter shop or buy cheese. Amazon.com: The Worlds I See: Curiosity, Exploration, and Discovery at the Dawn of AI eBook : Li, Fei-Fei: Kindle Store — The Worlds I See is a story of science in the first person, documenting one of the century’s defining moments from the inside. It provides a riveting story of a scientist at work and a thrillingly clear explanation of what artificial intelligence actually is—and how it came to be. Emotionally raw and intellectually uncompromising, this book is a testament not only to the passion required for even the most technical scholarship but also to the curiosity forever at its heart. Blog Archive - Trey Hunner

In Episode 139 of Teaching Python, hosts Sean Tibor and Kelly Schuster-Paredes welcome back Brianne Caplan, the dynamic founder of Code Your Dreams. The conversation explores the exciting advancements in coding education since Brianne's last appearance in 2019. They delve into the importance of blending play and learning, the impact of generative AI, and the power of community-driven innovation. Brianne shares inspiring success stories from students of all ages, from first graders creating mindfulness apps to adults developing solutions for police transparency. The episode also examines the role of failures in the learning process and the opportunities for growth they present. Tune in for an uplifting discussion about leveraging technology to create positive change in diverse communities and fostering an environment where everyone has the opportunity to innovate.Special Guest: Brianne Caplan.Support Teaching PythonLinks:Code Your Dreams | Teaching Inner-City Chicago Kids To Code — Where Every Dream Counts: Embracing Innovation Through Education for a Brighter Future

In this insightful episode of Teaching Python, hosts Sean Tibor and Kelly Schuster-Paredes engage in a dynamic conversation with the eminent Kelsey Hightower. The episode delves into Hightower's journey from self-taught programmer to distinguished engineer at Google, touching on the significance of lifelong learning and the non-traditional paths that many successful technologists follow. Hightower's anecdotes are not only inspiring but also provide valuable lessons on perseverance and the importance of staying curious. The episode tackles key themes around the entrepreneurial mindset, advising both students and educators on how to take calculated risks and break away from conventional norms. Hightower shares his unique insights on how thinking like an entrepreneur can lead to personal and professional growth, and how these principles can be applied even in structured educational environments. His stories about facing and overcoming challenges offer a blueprint for anyone looking to innovate within their current roles. For educators, Hightower's discussion emphasizes the need to look beyond the standard curriculum and foster an environment where students feel empowered to explore and experiment. The episode is rich with ideas on how to cultivate a nurturing yet challenging atmosphere that encourages students to think independently and embrace failure as a stepping stone to success. Whether you are a teacher, student, or tech enthusiast, this episode provides a wealth of wisdom on nurturing potential and achieving excellence.Special Guest: Kelsey Hightower.Support Teaching PythonLinks:Kubernetes: Up and Running: Dive into the Future of Infrastructure: Burns, Brendan, Beda, Joe, Hightower, Kelsey, Evenson, Lachlan: 9781098110208: Amazon.com: Books — In just five years, Kubernetes has radically changed the way developers and ops personnel build, deploy, and maintain applications in the cloud. With this book's updated third edition, you'll learn how this popular container orchestrator can help your company achieve new levels of velocity, agility, reliability, and efficiency--whether you're new to distributed systems or have been deploying cloud native apps for some time. Brendan Burns, Joe Beda, Kelsey Hightower, and Lachlan Evenson--who have worked on Kubernetes at Google and beyond--explain how this system fits into the life cycle of a distributed application. Software developers, engineers, and architects will learn ways to use tools and APIs to automate scalable distributed systems for online services, machine learning applications, or even a cluster of Raspberry Pi computers. Great Software & Storytelling Is Emotional | Kelsey Hightower (Legendary Developer) | CRAFTED. - YouTube — Kelsey Hightower is a legend. He’s a Kubernetes pioneer and recently retired (at 42!) from Google where he was a distinguished engineer. He still regularly gives live software demos in front of tens of thousands of people, improvising them like it’s jazz. He’s a master storyteller and a master craftsman. Kelsey Hightower (@kelseyhightower) / X kelseyhightower (Kelsey Hightower) · GitHub