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JupyterLab 4.0

blog.jupyter.org

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Re: JupyterLab 4.0

#51

Post by Equiet »

mikepurvis wrote: post #13

I keep experimenting with Jupyter in the context of telemetry/fault analysis and then hitting a wall with it where: - I get an analysis that I like, but there isn't a good way to share it with others, so I end up just taking screenshots. - There isn't a good way to take the same analysis and plug new data into it, other than to copy-paste the entire notebook. - The process to "promote" fragments of a notebook into be…

We looked into many of these issues with Deepnote (YC S19) [https://deepnote.com/]. What we found is that these are not necessarily problems of the underlying medium (a notebook), but more of the specific implementation (Jupyter). We've seen a lot of progress in the Jupyter ecosystem, but unfortunately almost none in the areas you mentioned.

Re: JupyterLab 4.0

#52

Post by bramathon »

rollinDyno wrote: post #22

I have been using VSCode notebooks with .ipynb file extensions, this gives me many advantages as I am able to configure things I'm not able in JupyterLab. I also have access to a very rich ecosystem of plugins. If there is anyone aware of VSCode as a solution but keeps using JupyterLab, could they explain why?

I have tried VSCode many times, but I find the performance of the notebook UI to be terrible. It seems to be popular, so maybe it's just me.

In any case, jupyterlab + jupyter-lsp gets most of the benefits for me.

Re: JupyterLab 4.0

#53

Post by awinter-py »

bityard wrote: post #16
mikepurvis wrote: post #13

I keep experimenting with Jupyter in the context of telemetry/fault analysis and then hitting a wall with it where: - I get an analysis that I like, but there isn't a good way to share it with others, so I end up just taking screenshots. - There isn't a good way to take the same analysis and plug new data into it, other than to copy-paste the entire notebook. - The process to "promote" fragments of a notebook into be…

> There aren't good boundaries between Jupyter's own Python environment, and that of your notebooks— if you have a dependency which conflicts with one of Jupyter's dependencies, then good luck. It's cumbersome, and I'm not totally sure it's the correct way, but I remember getting around this by creating a virtualenv for my projects and then using that virtualenv's python as Jupyter's "kernel".

had a ton of trouble getting jupyterlab to target an arbitrary virtualenv

Re: JupyterLab 4.0

#54

Post by cadr »

nigma wrote: post #25
mikepurvis wrote: post #13

I keep experimenting with Jupyter in the context of telemetry/fault analysis and then hitting a wall with it where: - I get an analysis that I like, but there isn't a good way to share it with others, so I end up just taking screenshots. - There isn't a good way to take the same analysis and plug new data into it, other than to copy-paste the entire notebook. - The process to "promote" fragments of a notebook into be…

I’m using Jupyter Book ( https://jupyterbook.org/ ) to build all kinds of daily reports and it works really well. Individual notebooks can also be converted to HTML or pdf with nbconvert using command line or “download as” menu item.

+1 for Jupyter Book. I had to fight with it a bit for some things around LaTeX/PDF generation, but was very pleased with the result.

Re: JupyterLab 4.0

#55

Post by wenc »

bramathon wrote: post #52
rollinDyno wrote: post #22

I have been using VSCode notebooks with .ipynb file extensions, this gives me many advantages as I am able to configure things I'm not able in JupyterLab. I also have access to a very rich ecosystem of plugins. If there is anyone aware of VSCode as a solution but keeps using JupyterLab, could they explain why?

I have tried VSCode many times, but I find the performance of the notebook UI to be terrible. It seems to be popular, so maybe it's just me. In any case, jupyterlab + jupyter-lsp gets most of the benefits for me.

Would be curious how long ago you tried this and what your setup is? The lowest spec machine I have is a Windows 10 machine with an i7 and 8 GB RAM and it is super responsive on the latest version of VS Code.

Re: JupyterLab 4.0

#57

Post by bjornasm »

mikepurvis wrote: post #13

I keep experimenting with Jupyter in the context of telemetry/fault analysis and then hitting a wall with it where: - I get an analysis that I like, but there isn't a good way to share it with others, so I end up just taking screenshots. - There isn't a good way to take the same analysis and plug new data into it, other than to copy-paste the entire notebook. - The process to "promote" fragments of a notebook into be…

>- There isn't a good way to take the same analysis and plug new data into it, other than to copy-paste the entire notebook.

Cant you just set the parameters in the first cell?

>- I get an analysis that I like, but there isn't a good way to share it with others, so I end up just taking screenshots.

Export to md, pdf or html?

Re: JupyterLab 4.0

#58

Post by singhrac »

mikepurvis wrote: post #13

I keep experimenting with Jupyter in the context of telemetry/fault analysis and then hitting a wall with it where: - I get an analysis that I like, but there isn't a good way to share it with others, so I end up just taking screenshots. - There isn't a good way to take the same analysis and plug new data into it, other than to copy-paste the entire notebook. - The process to "promote" fragments of a notebook into be…

I manage a Jupyter instance where we do ~75% of all of our work, and before that used Jupyter daily as a quant. In response to your comments + sibling's:

Sharing: there hasn't been a good solution, so you have to hack something together. For us (small team) symlinking a "shared_notebooks" network path works fine (but looking forward to the RTC mentioned in the post). It's very important to restart your notebook before sharing.

New data: I've never really run into this in a form that "restart + run all cells" didn't really work. Are you trying to keep older versions?

Reusability: I highly recommend installing a personal Python package in development mode to your kernel (i.e. pip install -e .). Then just move functions from the notebook to the package and reload.

Boundaries: As others have said, I would just make a "user" kernel right away and never touch the Jupyter environment (as TLJH does by default).

I am kind of hopeful that Armin Ronacher's rye fixes Python environment hell and we end up with better solutions for many of these things, but there are definitely some issues with version management in Jupyter.

Re: JupyterLab 4.0

#59

Post by sdenton4 »

abdullahkhalids wrote: post #3

I see no mention of an improved debugger. IMHO, the atrocious debugger in JupyterLab is one of the primary reasons why it is difficult to write good code in this environment. Even a simple improvement like remembering the sizes of various subpanels in the debugger sidebar will make me feel like I am not pulling teeth when I use it. And don't get me started on inspecting the value of variables. If you are looking for…

Eh, print/log debugging works fine. Especially in an interactive environment: you've got direct access to the variables and objects, and can easily inspect them directly.

At some point I felt like I was a bad dev for not using a debugger, but at this point I think I'm more versatile since I'm less dependent on finicky tooling to figure out what some code is doing... Every language has it's own debugger to learn, but logging (and good strategies for logging) works about the same everywhere.

Re: JupyterLab 4.0

#60

Post by nashashmi »

anigbrowl wrote: post #34
nashashmi wrote: post #20

Earlier quoted context omitted.

[flagged]

Please stop doing this. If you have personal experience to share that is valuable. If you are just cutting and pasting from an AI, anyone on HN can do that. It is no more helpful than copying a list of results from a search engine. Your HN contributions should be written by you, not a computer.

That definitely sounds sensible. I had the same question and figured I ask AI. It gave a pretty good answer. So I shared it.

I didn’t think it would get a backlash. But agreed, the answers are too verbose and polite for an HN comment and do not fit with the culture here.

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