Episode 136: Learning Python with Dr. Chuck
Teaching Python - En podkast av Sean Tibor and Kelly Paredes
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Summary This episode features a conversation with Dr. Chuck Severance about making programming accessible to everyone, the importance of practical applications in learning, and the potential of remote internships in programming education. Description In this episode of Teaching Python, hosts Kelly Schuster-Paredes and Sean Tibor chat with Dr. Chuck Severance, widely known as Dr. Chuck, about his innovative approaches to make Python and programming accessible to everyone. They discuss Dr. Chuck's methods for engaging learners of all ages, the critical role of practical application in education, and how creating connections can help students retain complex concepts. The conversation also delves into the potential for scalable, remote internships and how empowering students with programming skills at a younger age can have far-reaching effects on their future careers. Dr. Chuck shares his experiences, strategies, and vision for the future of programming education, making this episode a must-listen for educators and learners alike. Sections Introduction Wins of the Week Guest Introduction The Making of a Viral Python Course Importance of Practical Applications Empowering the Future with Python Closing Remarks Special Guest: Dr. Charles Severance aka "Dr. Chuck".Support Teaching PythonLinks:PY4E - Python for Everybody — This web site is building a set of free materials, lectures, book and assignments to help students learn how to program in Python. You can take this course and receive a certificate at: Coursera: Python for Everybody Specialization edX: Python for Everybody FreeCodeCamp Free certificates for University of Michigan students and staff CodeKidzPY4E - Python for Everybody — The goal of this book is to provide an Informatics-oriented introduction to programming. The primary difference between a computer science approach and the Informatics approach taken in this book is a greater focus on using Python to solve data analysis problems common in the world of Informatics.
