app03 Mon, 05 Oct 2026 09:37:53 +0000 Fireside (https://fireside.fm) Teaching Python - Episodes Tagged with “Projects” https://www.teachingpython.fm/tags/projects Mon, 19 Feb 2024 00:00:00 -0500 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. en-us episodic We're two computer science educators learning and teaching Python Sean Tibor and Kelly Paredes 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. no Python, Python programming, learn Python, teaching Python, computer science education, coding education, programming for beginners, Python for beginners, computational thinking, code literacy, debugging, software development, software engineering, data science, artificial intelligence, AI literacy, AI-assisted coding, generative AI, machine learning, cybersecurity, cloud computing, cloud infrastructure, APIs, databases, systems thinking, technical education, STEM education, educational technology, edtech, curriculum design, instructional design, professional learning, teacher professional development, coding for students, computer science curriculum, physical computing, robotics, responsible AI, digital literacy, data literacy, technology leadership, developer education, technical coaching, lifelong learning, learning to code, teaching programming, real-world programming, coding with AI, Python podcast, computer science podcast, technology education podcast, programming podcast Sean Tibor and Kelly Paredes sean.tibor@gmail.com Episode 126: Projects and Portfolios https://www.teachingpython.fm/126 2f9e6642-4339-473e-82a6-f2b9234dd081 Mon, 19 Feb 2024 00:00:00 -0500 Sean Tibor and Kelly Paredes 126 Projects and Portfolios full Sean Tibor and Kelly Paredes In this episode of the "Teaching Python" podcast, hosts Sean Tibor and Kelly Schuster-Paredes dive into the world of projects and portfolios for young coders. They explore the significance of showcasing coding skills, creativity, and personal growth through portfolios, offering invaluable insights for students and educators alike. Tune in to gain valuable tips on standing out in college admissions and job applications! 25:42 no <p>In Episode 126 of the "Teaching Python" podcast, hosts Sean Tibor and Kelly Schuster-Paredes delve into the fascinating realm of projects and portfolios for young coders. Expanding on the importance of showcasing coding skills, they explore how portfolios act as a powerful tool to demonstrate creativity, discipline, and coding standards. By creating a portfolio, students can present a comprehensive view of their work, allowing others to peek into their coding thought process and evaluate their unique voice as programmers.</p> <p>Sean and Kelly discuss how portfolios can give young coders a competitive edge when it comes to college admissions and job applications. They emphasize the significance of going beyond traditional academic achievements, such as grades and test scores, and highlight the value of tangible evidence of their coding prowess. By curating a collection of their projects, students not only provide a window into their technical abilities but also provide important context about their inspirations, intentions, and the thought process behind each project.</p> <p>Moreover, the hosts discuss the benefits of contributing to open-source projects and sharing code on platforms like GitHub. They acknowledge the initial discomfort, but encourage young coders to take the leap and submit contributions, highlighting how these experiences can enhance their portfolios and provide valuable talking points in interviews. Additionally, they discuss the emerging trend of universities and employers conducting online background checks, making a well-crafted online presence, including portfolios and LinkedIn profiles, essential for young coders.</p> <p>In this insightful episode, Sean and Kelly provide practical advice, personal anecdotes, and valuable insights, helping young coders understand the significance of projects and portfolios in their educational and professional journeys. Tune in to gain valuable tips on standing out, showcasing your skills, and navigating the world of coding portfolios and projects! </p> 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 126 of the "Teaching Python" podcast, hosts Sean Tibor and Kelly Schuster-Paredes delve into the fascinating realm of projects and portfolios for young coders. Expanding on the importance of showcasing coding skills, they explore how portfolios act as a powerful tool to demonstrate creativity, discipline, and coding standards. By creating a portfolio, students can present a comprehensive view of their work, allowing others to peek into their coding thought process and evaluate their unique voice as programmers.

Sean and Kelly discuss how portfolios can give young coders a competitive edge when it comes to college admissions and job applications. They emphasize the significance of going beyond traditional academic achievements, such as grades and test scores, and highlight the value of tangible evidence of their coding prowess. By curating a collection of their projects, students not only provide a window into their technical abilities but also provide important context about their inspirations, intentions, and the thought process behind each project.

Moreover, the hosts discuss the benefits of contributing to open-source projects and sharing code on platforms like GitHub. They acknowledge the initial discomfort, but encourage young coders to take the leap and submit contributions, highlighting how these experiences can enhance their portfolios and provide valuable talking points in interviews. Additionally, they discuss the emerging trend of universities and employers conducting online background checks, making a well-crafted online presence, including portfolios and LinkedIn profiles, essential for young coders.

In this insightful episode, Sean and Kelly provide practical advice, personal anecdotes, and valuable insights, helping young coders understand the significance of projects and portfolios in their educational and professional journeys. Tune in to gain valuable tips on standing out, showcasing your skills, and navigating the world of coding portfolios and projects!

Support Teaching Python

]]> In Episode 126 of the "Teaching Python" podcast, hosts Sean Tibor and Kelly Schuster-Paredes delve into the fascinating realm of projects and portfolios for young coders. Expanding on the importance of showcasing coding skills, they explore how portfolios act as a powerful tool to demonstrate creativity, discipline, and coding standards. By creating a portfolio, students can present a comprehensive view of their work, allowing others to peek into their coding thought process and evaluate their unique voice as programmers.

Sean and Kelly discuss how portfolios can give young coders a competitive edge when it comes to college admissions and job applications. They emphasize the significance of going beyond traditional academic achievements, such as grades and test scores, and highlight the value of tangible evidence of their coding prowess. By curating a collection of their projects, students not only provide a window into their technical abilities but also provide important context about their inspirations, intentions, and the thought process behind each project.

Moreover, the hosts discuss the benefits of contributing to open-source projects and sharing code on platforms like GitHub. They acknowledge the initial discomfort, but encourage young coders to take the leap and submit contributions, highlighting how these experiences can enhance their portfolios and provide valuable talking points in interviews. Additionally, they discuss the emerging trend of universities and employers conducting online background checks, making a well-crafted online presence, including portfolios and LinkedIn profiles, essential for young coders.

In this insightful episode, Sean and Kelly provide practical advice, personal anecdotes, and valuable insights, helping young coders understand the significance of projects and portfolios in their educational and professional journeys. Tune in to gain valuable tips on standing out, showcasing your skills, and navigating the world of coding portfolios and projects!

Support Teaching Python

]]> Episode 66: Designing Projects with Python Libraries https://www.teachingpython.fm/66 9526e6fc-1d57-4628-a642-1b247be44245 Tue, 04 May 2021 12:00:00 -0400 Sean Tibor and Kelly Paredes 66 Designing Projects with Python Libraries full Sean Tibor and Kelly Paredes In this episode, Sean and Kelly, share a brainstorming activity on designing projects with Python libraries. We have a special guest Mike Driscoll, author of several books and the blog "The Mouse vs The Python". In this episode we will use the Python Library Pillow to brainstorm some creative ways that Pillow can and has been used to teach students about Python Libraries. 46:55 no <p>In this episode, Sean and Kelly, share a brainstorming activity on designing projects with Python libraries. We have a special guest Mike Driscoll, author of several books and the blog "The Mouse vs The Python". In this episode we will use the Python Library Pillow to brainstorm some creative ways that Pillow can and has been used to teach students about Python Libraries.</p> <p>Coming up with project ideas that are creative, engaging, and allow students the flexibility to explore is one of the most important activities that Sean and Kelly do daily. We love introducing many different aspects of Python and push the boundaries with our students. We often discuss and brainstorm ideas on how we can incorporate libraries that are new to us in the curriculum. Although we have used Pillow very briefly, with the help of expert Mike Driscoll, Sean and I will explore project ideas for using Pillow from 6th grade to developer.<br> Special Guest: Mike Driscoll.</p> python,teaching,computer science, images, pillow In this episode, Sean and Kelly, share a brainstorming activity on designing projects with Python libraries. We have a special guest Mike Driscoll, author of several books and the blog "The Mouse vs The Python". In this episode we will use the Python Library Pillow to brainstorm some creative ways that Pillow can and has been used to teach students about Python Libraries.

Coming up with project ideas that are creative, engaging, and allow students the flexibility to explore is one of the most important activities that Sean and Kelly do daily. We love introducing many different aspects of Python and push the boundaries with our students. We often discuss and brainstorm ideas on how we can incorporate libraries that are new to us in the curriculum. Although we have used Pillow very briefly, with the help of expert Mike Driscoll, Sean and I will explore project ideas for using Pillow from 6th grade to developer.

Special Guest: Mike Driscoll.

Support Teaching Python

Links:

]]> In this episode, Sean and Kelly, share a brainstorming activity on designing projects with Python libraries. We have a special guest Mike Driscoll, author of several books and the blog "The Mouse vs The Python". In this episode we will use the Python Library Pillow to brainstorm some creative ways that Pillow can and has been used to teach students about Python Libraries.

Coming up with project ideas that are creative, engaging, and allow students the flexibility to explore is one of the most important activities that Sean and Kelly do daily. We love introducing many different aspects of Python and push the boundaries with our students. We often discuss and brainstorm ideas on how we can incorporate libraries that are new to us in the curriculum. Although we have used Pillow very briefly, with the help of expert Mike Driscoll, Sean and I will explore project ideas for using Pillow from 6th grade to developer.

Special Guest: Mike Driscoll.

Support Teaching Python

Links:

]]> Episode 54: Making Projects Happen with Eric Matthes (@ehmatthes) https://www.teachingpython.fm/54 2e298031-26d2-4d4c-a4df-7836b6182f6c Tue, 10 Nov 2020 00:00:00 -0500 Sean Tibor and Kelly Paredes 54 Making Projects Happen with Eric Matthes (@ehmatthes) full Sean Tibor and Kelly Paredes Sean and Kelly invite Eric Matthes, teacher and author of Python Crash Course to discuss student projects in computer science. We talk about starting and completing projects and programming with purpose as a way to help the learning stick with students longer. 1:14:02 no <p>Sean and Kelly invite Eric Matthes, teacher and author of Python Crash Course to discuss student projects in computer science. Eric was with us on <a href="https://www.teachingpython.fm/33" rel="nofollow noopener">Episode 33</a> and we ended the episode with discussions about completing projects and programming with purpose. In this episode we discuss finding a project, separating academic and project success criteria, helping student coders find a project, how to deal with failure, and some examples of great projects for learning. Special Guest: Eric Matthes.</p> projects, computer science, learning, education Sean and Kelly invite Eric Matthes, teacher and author of Python Crash Course to discuss student projects in computer science. Eric was with us on Episode 33 and we ended the episode with discussions about completing projects and programming with purpose. In this episode we discuss finding a project, separating academic and project success criteria, helping student coders find a project, how to deal with failure, and some examples of great projects for learning.

Special Guest: Eric Matthes.

Support Teaching Python

Links:

]]> Sean and Kelly invite Eric Matthes, teacher and author of Python Crash Course to discuss student projects in computer science. Eric was with us on Episode 33 and we ended the episode with discussions about completing projects and programming with purpose. In this episode we discuss finding a project, separating academic and project success criteria, helping student coders find a project, how to deal with failure, and some examples of great projects for learning.

Special Guest: Eric Matthes.

Support Teaching Python

Links:

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