Hi everyone! 👋 As someone trying to move from basic Docker/CI-CD into more data science and MLOps, I've been using Jupyter notebooks a lot. I just learned about Codeium and that it has free tiers for individuals.
My question: For a beginner in data science, how does Codeium compare to something like Jupyter AI (the official AI extension for JupyterLab)? I'm mostly doing data cleaning, visualization, and some basic model training in Python.
I tried Jupyter AI a bit and it can generate code cells for me, which is helpful. But I'm wondering about Codeium's integration. Does it work directly inside a `.ipynb` file, or is it better for scripting in `.py` files? I'm looking for something that explains errors and suggests fixes in simple terms.
A concrete example: if I'm stuck writing a pandas operation to group data, which tool gives more beginner-friendly, actionable help? Also, does Codeium support data science libraries well (like pandas, numpy, scikit-learn)?
Thanks so much for any guidance! Still learning the ropes here.