Jupyter notebooks in the IDE: VS Code vs. PyCharm
11–20 of 62 posts
Re: Jupyter notebooks in the IDE: VS Code vs. PyCharm
#12Why are you using a notebook and an IDE? I thought the notebook UI was an alternative to the IDE UI.
Re: Jupyter notebooks in the IDE: VS Code vs. PyCharm
#13Why are you using a notebook and an IDE? I thought the notebook UI was an alternative to the IDE UI.
Re: Jupyter notebooks in the IDE: VS Code vs. PyCharm
#14Needs more mention of emacs and org mode... :) I am curious to see the general workflow expanded on. I hesitate to think there is a single correct way to keep a notebook. Seems flexibility is the key feature. And is why text is so well used.
Re: Jupyter notebooks in the IDE: VS Code vs. PyCharm
#15It's an approach that I think has somes pros and cons relative to integrating these features into an IDE. The main argument for moving them to a separate app, is that IDEs are already really complicated.
Re: Jupyter notebooks in the IDE: VS Code vs. PyCharm
#16Why are you using a notebook and an IDE? I thought the notebook UI was an alternative to the IDE UI.
In my work (data engineering and training deep neural nets) I also happen to use both. It's unwieldy, but I can't get rid of either one (pycharms or jupyter lab)
Re: Jupyter notebooks in the IDE: VS Code vs. PyCharm
#17Why are you using a notebook and an IDE? I thought the notebook UI was an alternative to the IDE UI.
Re: Jupyter notebooks in the IDE: VS Code vs. PyCharm
#18KDE's Cantor isn't too bad either, but I am not sure how well it interoperates with Jupyter notebooks.
Re: Jupyter notebooks in the IDE: VS Code vs. PyCharm
#19Strangely, it uses a different jupyter notebook implementation to VS Code. I found it avoids some of the annoying bugs mentioned in another comment.
It also introduces a SQL kernel which I’ve found useful for organising my queries.
Re: Jupyter notebooks in the IDE: VS Code vs. PyCharm
#20Why are you using a notebook and an IDE? I thought the notebook UI was an alternative to the IDE UI.
In my case? pycharm for code completion, debugging, refactoring, etc and notebooks for recording reproducible data analysis steps.