Python Workshops – The Good, Bad and Ugly

The good:

  • If making programming more accessible is the name of the game, in that sense most python workshops do an excellent job to pull learners with beginner-friendly design.
  • In-detail learning, in the beginning, is extremely useful for avid learners.
  • Since by design most of the workshops are low stakes, learners never feel intimidated by the content.
  • Low-stakes nature ensures participants from diverse communities and backgrounds.

          The bad:

          • Doesn’t address the different learning rates of the learners.
          • For programming workshops, motivation is often proportionate to the challenge presented. Because of the low stake nature and lack of challenge, motivation curbs down significantly after the initial session.

                The Ugly:

                • Doesn’t teach real-world concepts like debugging and computational thinking. Who writes raw codes nowadays? More often than not, Developers go to stack overflow to seek solutions and ended up debugging thousands of lines of code suggested by the others developer communities.

                Utopia or the Future of Programming?

                Since the inception of artificial intelligence, it has been just a moment away when some genius computer scientist will come up with the idea of teaching an inherently dumb machine how to speak its language. Yes, I am referring to training an artificial neural network (ANN) with codes that community-like stake overflow has built over time. What an ingenious idea to make programmers obsolete! I call it the next evolution. Hey, if the machine running GitHub Copilot can generate code to generate solutions that are meant to help us rather than extinguish us. Programmers will always be involved in guiding the machines and evaluating what they have produced. However, the role will change. I assume the programmers will have to debug more codes in the future rather than write raw codes. The future is not far away when entry-level programming jobs are replaced by bots and neural networks.