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JupyterLab is ready for users

blog.jupyter.org

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Re: JupyterLab is ready for users

#21
This is really exciting for the team! However I don't think that I am particularly sold on the notebook style of coding.. its possible that I simply haven't found a good use case for it, can anyone suggest an example where the notebook style outperforms a simple script based style?

For reference, I use Matlab and Mathematica pretty heavily, and python in a text editor like sublime along with a terminal running ipython shell.

Re: JupyterLab is ready for users

#23
So I can now use a decent text editor (emacs) to edit Jupyer notebooks? Great! I do wish it was possible to interleave languages like with org-mode, though. I've yet to find a literate programming/notebook format I'm truly happy with.

Edit: oh.. I misread. It doesn't support using external editors. All I want is some way to edit those text boxes with another program. I can't do any serious work in a web browser. It's awful.

Re: JupyterLab is ready for users

#24

When i checked two weeks ago, there was a bug that when opened a notebook with large number of cells(~200), in firefox, it would freeze for about 10 seconds if the window was resized. The problem, as i know, only occurs in Firefox, not in Chrome. This was problematic, especially for me, as I open documentation on other side of the window and keep resizing the window as part of my habit. But, overall JupyterLab was gr…

Please try it again. In the last few weeks we've made some changes that drastically sped up things in Firefox, and we have plans for more changes in the pipeline.

See https://github.com/jupyterlab/jupyterlab/pull/3805 and https://github.com/jupyterlab/jupyterlab/pull/3802 for more details.

Re: JupyterLab is ready for users

#25
post #21

This is really exciting for the team! However I don't think that I am particularly sold on the notebook style of coding.. its possible that I simply haven't found a good use case for it, can anyone suggest an example where the notebook style outperforms a simple script based style? For reference, I use Matlab and Mathematica pretty heavily, and python in a text editor like sublime along with a terminal running ipytho…

I find notebooks to be great for prototyping longer pipelines or processes. Instead of having to constantly get fresh data, particularly if it's from an external API, the notebook can persist the data in memory and you can iterate on the next piece of the process right there.

I then take that and make it a more formal script/process w/ version control and all that fun stuff. They're also really great for learning. I just wouldn't put them in production :-)

Re: JupyterLab is ready for users

#26
post #21

This is really exciting for the team! However I don't think that I am particularly sold on the notebook style of coding.. its possible that I simply haven't found a good use case for it, can anyone suggest an example where the notebook style outperforms a simple script based style? For reference, I use Matlab and Mathematica pretty heavily, and python in a text editor like sublime along with a terminal running ipytho…

rapid experimentation, and embedding graphs/images. I use it whenever I want to try new things with CV/ML/etc.

Re: JupyterLab is ready for users

#28
Loving Jupyter, I use it every day and for sure I will try this out. What I do miss though is good separation between code and data, it is a pain when someone just takes a look at your notebook and it autosaves, the code block counters reset, this alters the file and GIT reports a lot of alterations.

Re: JupyterLab is ready for users

#29
post #21

This is really exciting for the team! However I don't think that I am particularly sold on the notebook style of coding.. its possible that I simply haven't found a good use case for it, can anyone suggest an example where the notebook style outperforms a simple script based style? For reference, I use Matlab and Mathematica pretty heavily, and python in a text editor like sublime along with a terminal running ipytho…

Using python in an editor next to an ipython console is exactly the sort of workflow that JupyterLab supports. See https://jupyterlab.readthedocs.io/en/stable/user/documents_k... for a walk-through of how this workflow can be used in JupyterLab.
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