Now I open the existing notebook, which will serve as a template.

and that, if you want to pair all the notebook in the current directory to percent scripts, you can simply run jupytext -set-formats ipynb,py:percent *.ipynb.

the search experience is much improved when you restrict the search to *.py files, and add .ipynb_checkpoints to Ignore Files and Folders in P圜harm Settings/Editor/File Types.

So I open P圜harm, and use the Find in Path search window to identify, among my collection of .py notebooks, which can get me started on today's question: Since I use Jupytext, all my .ipynb notebooks have a paired .py representation. So, to begin, I search which of my existing notebooks is the closest to yield the answer to today’s question.

It turns out that I already answered a similar question in the past. Today, I have to answer a new question about our data and algorithms. I will take the example of a typical day at work. Is the experience of using notebooks in those IDEs better than in Jupyter? Will I make the switch? In this article, I describe my current workflow with notebooks, then I compare it to what P圜harm and Visual Studio Code make possible now. I was curious to see how well that works. And the two editors that I most use, P圜harm and Visual Studio Code, now let you open your .ipynb notebooks directly in the IDE! Hydrogen is a plugin for the Atom editor that lets you run these scripts interactively. Spyder has a long history of offering an interactive mode on scripts with double percent cell markers. Jupytext offers one way of accessing your notebook from the IDE. a Python script, can be edited (using any text editor or IDE), and then you get the changes back in Jupyter when you reload the notebook. If you’ve not heard of Jupytext, then let me just mention that Jupytext is a plugin for Jupyter that lets you pair your traditional .ipynb notebooks with one or more text files. If you know me as the author of Jupytext, you already know that I think there’s a lot of added value of being able to edit your Jupyter notebooks in your favorite IDE. Now, did you ever wonder… outside of using Jupyter for the notebooks and IDEs for the libraries, could we do otherwise?

And libraries are a safe investment in the long-term as they make your code reusable. Notebooks are a great way to document and explain your findings.

And every day I use and edit Python libraries.

Vscode vs pycharm