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    Education

    Teaching Python

    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.

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    Latest Episodes:
    Episode 4: Top Python Books For Teachers Dec 24, 2018
    Show notes

    This week, Kelly and Sean review their top Python books for teachers. They cover everything from classics like Automate the Boring Stuff with Python and Invent Your Own Computer Games to the newest books like Impractical Python Projects and Coffee Break Python. If you're looking for a good book for your winter break, there's bound to be one that will suit you here. Brew up a nice cup of tea or coffee and take a paper-based break this week.

    Your co-hosts this week are middle school computer science teachers Kelly Schuster-Paredes and Sean Tibor. Kelly is an experienced international teacher who's learning coding and Python for the first time. Sean is a technology professional that's teaching middle school for the first time. Each week, they explore resources, approaches, and best practices for teaching Python to beginner students.

    Support Teaching Python

    Links:

    • Automate the Boring Stuff with Python: Practical Programming for Total Beginners — If you’ve ever spent hours renaming files or updating hundreds of spreadsheet cells, you know how tedious tasks like these can be. But what if you could have your computer do them for you? In Automate the Boring Stuff with Python, you’ll learn how to use Python to write programs that do in minutes what would take you hours to do by hand—no prior programming experience required. Once you’ve mastered the basics of programming, you’ll create Python programs that effortlessly perform useful and impressive feats of automation.
    • Coding Projects in Python — Using fun graphics and easy-to-follow instructions, this straightforward, this visual guide shows young learners how to build their own computer projects using Python, an easy yet powerful free programming language available for download.
    • Coffee Break Python: 50 Workouts to Kickstart Your Rapid Code Understanding in Python — Coffee Break Python is a new step-by-step system to teach you how to learn Python faster, smarter, and better. You do nothing but solving one practical Python puzzle as you enjoy your morning coffee.
    • Doing Math with Python: Use Programming to Explore Algebra, Statistics, Calculus, and More! — Doing Math with Python shows you how to use Python to delve into high school–level math topics like statistics, geometry, probability, and calculus. You’ll start with simple projects, like a factoring program and a quadratic-equation solver, and then create more complex projects once you’ve gotten the hang of things.
    • Impractical Python Projects: Playful Programming Activities to Make You Smarter — Impractical Python Projects is a collection of fun and educational projects designed to entertain programmers while enhancing their Python skills. It picks up where the complete beginner books leave off, expanding on existing concepts and introducing new tools that you'll use every day. And to keep things interesting, each project includes a zany twist featuring historical incidents, pop culture references, and literary allusions.
    • Invent Your Own Computer Games with Python, 4E — Invent Your Own Computer Games with Python will teach you how to make computer games using the popular Python programming language—even if you’ve never programmed before! Begin by building classic games like Hangman, Guess the Number, and Tic-Tac-Toe, and then work your way up to more advanced games, like a text-based treasure hunting game and an animated collision-dodging game with sound effects. Along the way, you’ll learn key programming and math concepts that will help you take your game programming to the next level.
    • Kaggle Pandas Tutorial — Pandas - Short hands-on challenges to perfect your data manipulation skills.
    • Programming the BBC micro:bit: Getting Started with MicroPython — This easy-to-follow guide shows, step-by-step, how to quickly get started with programming and creating fun applications on your micro:bit. Written in the straightforward style that Dr. Simon Monk is famous for, Programming the BBC micro:bit: Getting Started with MicroPython begins with basic concepts and gradually progresses to more advanced techniques. You will discover how to use the micro:bit's built-in hardware, use the LED display, accept input from sensors, attach external electronics, and handle wireless communication.
    • Python for Kids: A Playful Introduction To Programming — Python for Kids brings Python to life and brings you (and your parents) into the world of programming. The ever-patient Jason R. Briggs will guide you through the basics as you experiment with unique (and often hilarious) example programs that feature ravenous monsters, secret agents, thieving ravens, and more. New terms are defined; code is colored, dissected, and explained; and quirky, full-color illustrations keep things on the lighter side.
    • Python for Tweens and Teens: Learn Computational And Algorithmic Thinking — Algorithmic Thinking involves more than just learning code. It is a problem solving process that involves learning how to code! This book teaches computational and algorithmic thinking by taking very seriously one thing for granted—that the reader knows absolutely nothing about computer programming!
    Episode 3: Anticipating the Click and Flow Dec 17, 2018
    Show notes

    We've noticed that many of our students have a moment where everything 'clicks' and they make a leap forward in their knowledge of Python. Kelly and Sean discuss strategies to ensure that this happens, including coding challenges, metacognitive discussion, and formative assessments.

    Flow states are another phenomenon that indicates deep learning and knowledge acquisition. We've defined that as a state of increased productivity, focus, and absorption.

    Support Teaching Python

    Episode 2: The First Week of Python Dec 10, 2018
    Show notes

    What does the first week of Python look like for new coders? Where do you start? Is it better to jump right in or give them a softer start? We'll talk about everything from what exercises work best, how to get new Python coders started with an IDE like Mu Editor, and more.

    In this episode, Kelly and Sean talk about starting the first week of teaching Python. We take a look why we choose to teach Python in our Computer Science Course. We also give a few tips on how we set expectations, establish routine, develop a coding mindset, and choosing the first tool to use in the first week of teaching a computer class.

    Support Teaching Python

    Links:

    • Mu Editor (the beginner Python IDE)
    • Micro:bit
    Episode 1: Hello World Dec 05, 2018
    Show notes

    Support Teaching Python

    Links:

    • Tynker
    • Talk Python To Me
    • Mu Editor
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