It’s like running Node inside Notion.
Having a notebook helps think aloud
Good writing is good thinking. When you write code using a notebook tool, it is like thinking aloud in code.
Better yet, you can rerun single parts or the entirety of your script once you want to trail back and rethink something.
It is like having a time machine, where you can go back, change an event and see how the future changes.
If you have written Python, chances are you have used Jupyter. If not, check it out. Jupyter is excellent for data science. Using libraries like pandas makes it dead simple to parse files, query data and output some results.
Do you want to try it with different inputs, just tweak it and run again? It’s like a step-by-step debugger in your favourite IDE, but you can also go backwards.
How ObservableHQ works
You sign up/in. Probably using your GitHub account. Then you add notebooks. You add some markdown where needed or just lines of code, one by one.
Execute your entire script or rerun a single step, and the outputs of that step will be used to rerun the following steps.
Check out my published notebooks or perhaps an implementation mergesort
There are so many examples available on ObservableHQ or from ObservableHQ themselves, for example, their d3 visualization gallery.
Other alternative notebooks
I wanted to highlight ObservableHQ here because I only got a few hits when I googled for this exact title. Only this quora thread, was where I found ObservableHQ.
ObservableHQ is a hidden gem. Perhaps it is more well known in other circles (data scientists).
I hope you’ll try it and that it helps shortcut your scripting experience.