4 ms·

IMO data scientists often are used to the jupyter form factor instead of the editor form factor, so I see why they would prefer this thing.

stared 2y ago
I am a data scientist myself, one who moved from academia, vide https://p.migdal.pl/blog/2016/03/data-science-intro-for-math-phys-background https://p.migdal.pl/blog/2016/03/data-science-intro-for-math.... I used Jupyter Notebook before it was popular and back when I was a PhD student. I pushed in a few places for the unorthodox way of exploring data in a browser. Now, I am back - but only thanks to wonderful code editors and their good support of Jupyter Notebooks. I recommend VSC (or, this year, Cursor) as the default environment for data sci.
- prasoonds 2y ago
  That's a cool blogpost! I'm mostly using Cursor now (just waiting until someone makes a kick-ass Emacs package so I can switch back!) so I can definitely see your perspective. I'd be curious to hear a bit more about the kind of work you do that made you switch. Also if there's anything you miss in VSC/Cursor vs Jupyter. If you don't mind a small email exchange, let me know and I'll drop you a message :)
  - stared 2y ago
    Thank you! If it is of public interest, I am happy to discuss it here. If you want to shoot me an email, that would be great. My path is in "What I do or: science to data science" (https://p.migdal.pl/blog/2015/12/sci-to-data-sci https://p.migdal.pl/blog/2015/12/sci-to-data-sci)... and well, a bit more recent one in "Embodiment for nerds" (https://p.migdal.pl/blog/2021/09/embodiment-for-nerds https://p.migdal.pl/blog/2021/09/embodiment-for-nerds). Regarding the shortcomings of the Jupyter Notebook, I made a few notes in "How I learned to stop worrying and love the types & tests" (https://p.migdal.pl/blog/2020/03/types-tests-typescript https://p.migdal.pl/blog/2020/03/types-tests-typescript).

stared 2y ago

I am a data scientist myself, one who moved from academia, vide https://p.migdal.pl/blog/2016/03/data-science-intro-for-math-phys-background https://p.migdal.pl/blog/2016/03/data-science-intro-for-math.... I used Jupyter Notebook before it was popular and back when I was a PhD student. I pushed in a few places for the unorthodox way of exploring data in a browser. Now, I am back - but only thanks to wonderful code editors and their good support of Jupyter Notebooks. I recommend VSC (or, this year, Cursor) as the default environment for data sci.

prasoonds 2y ago
That's a cool blogpost! I'm mostly using Cursor now (just waiting until someone makes a kick-ass Emacs package so I can switch back!) so I can definitely see your perspective. I'd be curious to hear a bit more about the kind of work you do that made you switch. Also if there's anything you miss in VSC/Cursor vs Jupyter. If you don't mind a small email exchange, let me know and I'll drop you a message :)
- stared 2y ago
  Thank you! If it is of public interest, I am happy to discuss it here. If you want to shoot me an email, that would be great. My path is in "What I do or: science to data science" (https://p.migdal.pl/blog/2015/12/sci-to-data-sci https://p.migdal.pl/blog/2015/12/sci-to-data-sci)... and well, a bit more recent one in "Embodiment for nerds" (https://p.migdal.pl/blog/2021/09/embodiment-for-nerds https://p.migdal.pl/blog/2021/09/embodiment-for-nerds). Regarding the shortcomings of the Jupyter Notebook, I made a few notes in "How I learned to stop worrying and love the types & tests" (https://p.migdal.pl/blog/2020/03/types-tests-typescript https://p.migdal.pl/blog/2020/03/types-tests-typescript).