New post: The Technical Guide to Jupyter Setup (Part 2 of my series).
If you're still doing pip install jupyter and committing JSON blobs to Git, there's a better way.
I'm diving into:
✅ Using #uv for fast envs.
✅ #Jupytext for pairing notebooks with .py files.
✅ Professional project hierarchies.
✅ #VSCode integration for #Copilot users.
Treat your research like production code.
Read more: https://g.omid.dev/FpT0kTO

Jupyter, ChatGPT, Copilot (Part 2): The Technical Guide to Jupyter Setup
This is Part 2 of a three-part series. In Part 1: The Strategic Value of Thinking in Notebooks, we discussed why and when to use Jupyter. Here, we dive into the technical implementation. Part 3: Real-World Code Examples covers practical use cases. The Modern Jupyter Stack For a software engineer, the “standard” way of installing Jupyter (global pip install) is often the wrong way. It leads to dependency hell and “it works on my machine” syndrome.
