#80 - Python, Pandas, MIT & Teaching Programming with Reuven Lerner

#80 - Python, Pandas, MIT & Teaching Programming with Reuven Lerner

If you're into mastering Python, enhancing your data analysis skills, or exploring innovative teaching methods, then this episode is for you! I had an amazing time with Reuven Lerner !

??? Who is Reuven Lerner?

Reuven Lerner is a seasoned Python and Pandas instructor with over 30 years of experience in programming and teaching. He is dedicated to helping individuals enhance their careers through the Python language. With a background that includes an 美国麻省理工学院 education in computer science and a PhD in learning sciences, Reuven combines his industry experience with innovative teaching methods to empower learners.

?? In this episode...

... Reuven shares insights from his extensive career, discussing his current projects that focus on improving online courses and engaging learners through newsletters. He emphasizes the importance of project-based learning and understanding deeper concepts in technology, rather than just syntax. Reuven reflects on the challenges of traditional education and the need for innovative teaching methods. He also addresses the impact of AI on learning and the significance of hands-on experience in skill development. Listeners will find encouragement to embrace programming as a journey and learn how acquiring these skills can lead to fulfilling career opportunities.

Most valuable lessons

  1. Embrace project-based learning to apply knowledge practically and develop a deeper understanding of programming concepts.
  2. Understanding the underlying principles of technology is crucial for effective learning and application.
  3. AI tools like large language models can enhance learning but should not replace hands-on experience and foundational understanding.
  4. Python is a versatile language that can be both easy to learn and powerful, making it accessible for beginners and advanced users alike.
  5. Overcoming programming anxiety is key; with patience and practice, anyone can learn to code.
  6. Structured learning paths in Python can lead to greater fluency and effectiveness in problem-solving.
  7. Engaging with the Python community can enrich your learning experience and open up new opportunities.

?? Listen to this episode now!

??? Podcast ?? https://smartlink.ausha.co/let-s-talk-ai/

?? Youtube ?? https://www.youtube.com/@lets-talk-ai

Keep learning & building!

Warm regards,

Thomas


Great insights on project-based learning and Python!

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