Using AI Tools to Learn Python & Identify Coding Mistakes

 This week, I’ve been thinking a lot about how AI tools like ChatGPT are changing the way we learn to code. As someone who’s pretty new to Python and programming in general, having an AI assistant has made the process feel a lot less intimidating. Instead of feeling stuck when I don’t understand something, I can ask ChatGPT to explain a concept in simpler terms, give examples, or even walk me through writing a line of code. It’s kind of like having a tutor who’s always available and doesn’t make you feel embarrassed for asking questions. This has helped me focus more on understanding how things work instead of just memorizing.

What I’ve found especially helpful is how ChatGPT can troubleshoot code or help me debug errors. When I get an error message in Google Colab, I don’t always know what it means or how to fix it. But I can copy and paste the code into ChatGPT, explain what I was trying to do, and usually get a clear explanation of what went wrong and how to fix it. It’s also great for learning syntax or seeing different ways to solve the same problem. Over time, I’ve noticed that I’m getting a bit more confident and independent, even though I still lean on AI support a lot. It feels like I’m learning in a way that’s actually personalized to me.

Overall, AI tools like ChatGPT have made learning Python a lot more accessible for everyone, especially for beginners like me. They’re not perfect, but they’re a great starting point when you need help understanding tough concepts, experimenting with new code, or practicing skills outside of class. I’m excited to keep using these tools as I improve my coding abilities. I think AI is not just a subject we’re learning about in class—it’s also something that’s helping us learn better and faster.