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In episode 104 of the Teaching Python podcast, Kelly and Sean discuss their wins of the week and announce they are co-chairing the PyCon US Education Summit in April 2023. The episode features a segment on book recommendations, where Kelly and Sean share some of their recent reads that they found particularly useful for Python programmers. 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.

This episode description was written by ChatGPT. What do you think? In this episode of the Teaching Python podcast, Kelly and Sean delve into the topic of ChatGPT and its potential impact on computer science education. ChatGPT (https://openai.com/blog/chatgpt/) is a new artificial intelligence tool developed by OpenAI that has generated a lot of buzz in the tech industry. The hosts consider both the potential benefits and drawbacks of using ChatGPT in the classroom, and discuss how it could be used to enhance the learning experience. One of the key points they address is the question of whether ChatGPT will be a helpful or harmful addition to computer science education. On the one hand, ChatGPT has the potential to be a powerful teaching aid, providing students with a unique and engaging way to learn. On the other hand, there are concerns that the use of ChatGPT could lead to a reduction in critical thinking skills, as students may rely too heavily on the tool for solutions. Ultimately, Kelly and Sean argue that ChatGPT has the potential to be a valuable resource for educators, but it is important to use it in a balanced and mindful way. They suggest that incorporating ChatGPT into the curriculum in combination with other teaching methods could be an effective way to maximize its benefits and minimize any negative effects. If you are interested in learning more about ChatGPT and its potential applications in education, be sure to check out the linked resources.

In Episode 102 of the Teaching Python podcast with Kelly and Sean, the topic is learner variability, based on an article by Jessica Jackson of the Digital Promise Project. This episode discusses how to effectively teach programming to a diverse group of learners, and how to adapt to the individual needs and learning styles of each student. One key point discussed in the podcast is that students learn at different times and at different rates, and it is important for teachers to recognize and accommodate this variability. The old theory of learning styles, which suggests that individuals have a preferred style of learning and that teaching should be tailored to these preferences, has been debunked as a myth. Instead, research suggests that the most effective way to teach is to use a variety of methods and approaches, and to allow students to engage with the material in different ways. In addition to incorporating teaching strategies such as scaffolding, differentiation, and formative assessment, it is also important for teachers to consider the various learning factors that may impact their students. This includes designing for students who may be at the margins, such as those who are struggling or those who are advanced. It also involves designing with context in mind, taking into account the unique experiences and background of each student. This can include cultural factors, language barriers, and any prior knowledge or skills that may be relevant to the material being taught. Designing with the whole child in mind involves considering not just the cognitive aspects of learning, but also the social and emotional aspects. This may involve creating a positive and supportive learning environment, and being attuned to the needs and well-being of each student. Finally, designing for powerful experiences involves creating engaging and meaningful learning activities that are likely to have a lasting impact on students. By considering these various learning factors, teachers can create more effective and inclusive learning experiences for their students.

Welcome to Teaching Python, the podcast all about sharing tips, tricks, and insights on teaching and learning the Python programming language. In this episode, Kelly and Sean are giving you a list of 10 gift ideas for computer science teachers and learners. Whether you're a teacher looking for some inspiration for your holiday wishlist, or a student looking for a gift for your favorite computer science teacher, this episode has you covered. From practical tools like an online course about Python, to fun gadgets like a Lego rollercoaster or desktop robot, there's something for everyone on this list. So join Kelly and Sean as they share their top 10 gift ideas for computer science teachers and learners. And as always, if you have any questions, comments, or suggestions for future episodes, be sure to send us an email at info@teachingpython.fm. Happy holiday season and happy coding!

After 100 episodes of Teaching Python, Kelly and Sean invite some friends of the show to share how they stay motivated. We're joined by Michael Kennedy (https://twitter.com/mkennedy) and Brian Okken (twitter.com/brianokken) from the Python Bytes (https://pythonbytes.fm/) podcast to talk about the ways we stay motivated. Listen in for tips and strategies from a variety of sources. How do you stay motivated? Special Guests: Brian Okken and Michael Kennedy.

The Teaching Python podcast speaks about how the Google Cycle can help support learning in Code. Teaching kids to “embrace the research side of Coding (and become great at this skill)” “Now we aren’t talking about googling for solutions. But smart googling with a big perspective.” → Kelly is starting a Boot camp, the prework module actually says and explains: “If you get stuck, remember that you can usually get help by searching online.” THere are guidelines to how to search and how to read Stack Overflow. “A good rule of thumb is to use code you find as a resource, not a solution.” “While google may have many answers, it’s no replacement for your own mind! Avoid relying on google to find out the programming solutions to the bare fundamentals of your chosen programming language.” This means not being tempted to use your search tools as a replacement for memorising the basics of your programming language. While technically you’ll quickly find the answer for the most basic questions to some programming queries (e.g. how to print to console) you certainly don’t want to be reaching for google every time you need to use this!

The Teaching Python podcast speaks with Elad Inbar, founder of RobotLab and Robots for Education and how to improve student engagement by using robots. Special Guest: Elad Inbar.

Sri Kundurthy, a student and EuroPython speaker joins Kelly and Sean to talk about bringing Python to other subject areas. From physics models to data manipulation to advanced algorithms, we talk about a wide range of applications for computer science outside of the computer science classroom Special Guest: Srivatsa Kundurthy.

Kelly and Sean discuss how grading and learning are often confused with each other. We settle in for a chat about everything from intern projects to class challenges to communicating actual learning through grades. Settle in for an episode with just the co-hosts of Teaching Python!

The Teaching Python podcast speaks with Pete Dring and the tools he has created to manage his workload while teaching computer science and Python. Join us to learn more about these tools and how you can use them to shift your workload from boring to exciting! Special Guest: Peter Dring.

Sean and Kelly speak with Anaconda and their outreach program. Anaconda supports educators and learners with the ability to understand and interpret data. This leads to better decision-making and a world where people are empowered to create positive change. Episode Errata: * The hackday event referenced in the episode was related to Pyscript and more information will come out on that shortly. * The data science competition for high school students referenced in the episode is called Data Science Expo and will be piloted in the 2022-2023 school year. Note: we had to go to the cloud-based recording backup for this episode, so you may notice a few issues with audio quality. Our editor did his best to clean it up, but there are a few rough spots. Special Guests: Albert Defusco and Sophia Yang.

Harry and Anna are high-school students who are passionate about coding, engineering, and design. When they’re not doing their homework, they’re busy writing tutorials, designing website wireframes, and planning the next courses for Mission Encodeable. Special Guests: Anna Wake and Harry Wake.

In this episode, Sean and Kelly talk with Computer Science and STEM teachers about our wins, our failures, and all about teaching Python. We're joined by teachers Dottie Holland, Andre Chmielewski, and Andy Colley to talk about everything from our favorite teaching resources, what it's like to teach after the exams are over, why Python over other languages, and more.

In this episode, we will learn about the new features of this great alpha product for the micro:bit. Its main goals are to make coding with Python per se and Python on the micro:bit more accessible: * An appealing user interface with bright colours * Contextual help and autocomplete * Example snippets of code you can browse and insert, like browsing blocks in MakeCode or Scratch * Simple code structure highlighting to aid understanding about indents in Python * Explanation of features of MicroPython useful in CS teaching, but not covered in device-oriented documentation * Built-in serial console and REPL so you can do more traditional Python coding using your keyboard input and printing to the screen – the micro:bit is your Python runtime! Special Guest: Giles Booth.

We welcome David Cavallo an entrepreneur in using technologies to improve learning and promote social equitable development. Our topic this week is equitable computation learning and the reasons and methods for it. Special Guest: David Cavallo.

Kelly and Sean debrief on PyCon US 2022 on Sunday morning before flying home. From the Education Summit to the Expo Hall to the Talk Track, we cover it all. Most importantly, we cover the best food and coffee to check out for next year in Salt Lake City! Note - this is a live debrief with no editing. Enjoy!

In the 2007 film, Shift Happens, Carl Fisch (later modified by Scott Mcleod) stated that “The top 10 in-demand jobs in 2010 did not exist in 2004. We are currently preparing students for jobs that don’t exist yet, using technologies that haven’t been invented, in order to solve problems we don’t even know are problems yet.” Although the 65% figure has been debunked quite often and the data that was used during the video cannot always be verified, it is safe to say that the jobs of today, have evolved quite a bit since 2004. In addition, a lot of these fields are Global, rely a lot on technology and the use of code, like Python. In this podcast series, we will speak to professionals in the field that have jobs in industries including Fintech 3.0, Cybertechnology, Ethical AI, and Data Science We welcome Xavier De Pauw Founder & co-CEO of lendX, a B2B fintech that is looking to revolutionize the alternative credit sector with its SaaS Enabled Marketplace. Xavier started his career at Merrill Lynch in London as a Fixed income capital markets & structured finance banker. After 10 years, he co-founded a challenger banking group and was CEO of the digital challenger bank in the group. Again 10 years later, Xavier joined a €75bln private bank and asset manager as their head of strategic innovation. In 2020, Xavier went back to entrepreneurship, became a member of the advisory board at several fintechs and launched lendX with two other founders. Special Guest: Xavier De Pauw.

In the 2007 film, Shift Happens, Carl Fisch (later modified by Scott Mcleod) stated that “The top 10 in-demand jobs in 2010 did not exist in 2004. We are currently preparing students for jobs that don’t exist yet, using technologies that haven’t been invented, in order to solve problems we don’t even know are problems yet.” Although the 65% figure has been debunked quite often and the data that was used during the video cannot always be verified, it is safe to say that the jobs of today, have evolved quite a bit since 2004. In addition, a lot of these fields are Global, rely a lot on technology and the use of code, like Python. In this podcast series, we will speak to professionals in the field that have jobs in industries including Fintech 3.0, Cybertechnology, Ethical AI, and Data Science We welcome Michael Galarnyk. Michael currently teaches Python for Data Visualization for LinkedIn Learning, Data Analytics using Python for UCSD Extension, Machine Learning Fundamentals for UCSD Extension, and Machine Learning with Python for Stanford Continuing Studies. I have previously taught Essential Python for Global Knowledge and Data Science (Python) at General Assembly. Special Guest: Michael Galarnyk.

In the 2007 film, Shift Happens, Carl Fisch stated that “The top 10 in-demand jobs in 2010 did not exist in 2004. We are currently preparing students for jobs that don’t exist yet, using technologies that haven’t been invented, in order to solve problems we don’t even know are problems yet.” While the data that was used during the video cannot be completely verifiable, it is safe to say that the jobs of today have evolved quite a bit since 2004. In addition, a lot of these fields are global, rely heavily on technology and the use of code skills like Python programming. In this podcast series, we will speak to professionals in the field that have jobs in industries including Fintech 3.0, Cybertechnology, and Data Science. We welcome Michele Darayanani, Nevena Lazarevic and Joe Farajallah to discuss the basics of Cybersecurity, what it is, what all does it involve, and how Python can be used to secure platforms from cyber attacks. Michele leads the Cyber offerings for Pharmaceutical, Life Sciences, and Medical Device Manufacturing clients. An avid advocate for usable security that drives business value through Cyber; he supports clients as a sounding board for the CISO, CISO coaching, Secure Cloud Transformations, Cyber Due Diligence, and Security Architecture. Nevena is a passionate and proactive Cyber Security consultant with a Software Engineering background. Her focus within this area has been Cyber Defense, Security Transformation and Information Security. Joe is a Cyber Security consultant focusing on ethical hacking and red team testing. He has a background in electrical engineering and networks. Special Guests: Joe Farajallah, Michele Daryanani, and Nevena Lazarevic.

In this episode, Sean and Kelly talk about the future. Looking into the past 20 years+ years of teaching and looking back at how we were taught as children, what has changed? Just as our teachers prepared us for our present, how are we preparing our students? We should no longer try to prepare our students for jobs that may not be there when they enter the workforce. Instead, we should focus our preparation on how they can take advantage of the emerging technologies that are coming into existence. How are we teaching them to look out for the both the dangers and the benefits of Big Data, Machine Learning, social media and robots? What skills are we focusing on that wil lallow them to pivot and prosper in this exponentially changing world? The future is reliant on what our students of today will create.