Jupyter Notebook 7 • Hacker News Board

Re: Jupyter Notebook 7

#11

Post by williamstein » Thu, Jul 27, 2023, 5:13 AM UTC

nl wrote: post #4

> Both Jupyter Notebook and JupyterLab are widely used across data science, machine learning, computational research, and education. Are they though? Does anyone actually use JupyterLab by choice? From what I've seen people love Jupyter Notebook but find JupyterLab misses the mark (and this is certainly my experience).

Interestingly this new Jupyter Notebook v7 is basically JupyterLab, but extensively configured to have a UI very similar to Jupyter Notebook. Under the hood it is a completely different (and much more modern) codebase than Jupyter Notebook 6.x, and it’s really cool that this finally landed!

Re: Jupyter Notebook 7

#12

Post by kltpacx » Thu, Jul 27, 2023, 5:28 AM UTC

I have never understood the appeal of this. You can generate good looking presentations, but that is all.

Is any real science done with this or is it the Powerpoint for PyCon talks?

Re: Jupyter Notebook 7

#13

Post by f6v » Thu, Jul 27, 2023, 5:29 AM UTC

nl wrote: post #4

> Both Jupyter Notebook and JupyterLab are widely used across data science, machine learning, computational research, and education. Are they though? Does anyone actually use JupyterLab by choice? From what I've seen people love Jupyter Notebook but find JupyterLab misses the mark (and this is certainly my experience).

I run Jupyter lab with R and Python kernels for bioinformatics analysis. I saw it once in some tutorial and kind of liked it more than notebook.

Re: Jupyter Notebook 7

#14

Post by actuallyalys » Thu, Jul 27, 2023, 5:32 AM UTC

nl wrote: post #4

> Both Jupyter Notebook and JupyterLab are widely used across data science, machine learning, computational research, and education. Are they though? Does anyone actually use JupyterLab by choice? From what I've seen people love Jupyter Notebook but find JupyterLab misses the mark (and this is certainly my experience).

I primarily use Jupyter Lab. I have some frustrations but I generally like being able to manage multiple kernels from one notebook, having multiple views into one notebook, having context-sensitive help, and having some of the other features that were only in Lab.

That being said, I'm glad they've switched course and continue to work on Notebook once it became clear some people preferred it to Lab. With some of the added features and the ability to switch between Lab and Notebook more easily, I may give Notebook another try.

Re: Jupyter Notebook 7

#15

Post by tempaccount1234 » Thu, Jul 27, 2023, 5:40 AM UTC

kltpacx wrote: post #12

I have never understood the appeal of this. You can generate good looking presentations, but that is all. Is any real science done with this or is it the Powerpoint for PyCon talks?

I didn‘t „get“ Jupyter the first time it used it. A year later it clicked. A Notebook keeps state while you write it. This is different from IDEs, where programs lose state while you are writing code. Now I use it all the time - next to an open IDE, as a playground to quickly test ideas and algorithms.

Re: Jupyter Notebook 7

#16

Post by wenc » Thu, Jul 27, 2023, 5:52 AM UTC

nl wrote: post #4

> Both Jupyter Notebook and JupyterLab are widely used across data science, machine learning, computational research, and education. Are they though? Does anyone actually use JupyterLab by choice? From what I've seen people love Jupyter Notebook but find JupyterLab misses the mark (and this is certainly my experience).

> Are they though? Does anyone actually use JupyterLab

I always use JupyterLab by choice.

However between JupyterLab and VS Code Jupyter, it’s VS Code every time. It’s just so much better.

Re: Jupyter Notebook 7

#17

Post by mturmon » Thu, Jul 27, 2023, 5:53 AM UTC

kltpacx wrote: post #12

I have never understood the appeal of this. You can generate good looking presentations, but that is all. Is any real science done with this or is it the Powerpoint for PyCon talks?

I have found these notebooks very useful in 2 ways besides presentations: as a final exploratory data analysis front end that loads data from a larger modeling and data reduction system, and as a playground to mature workflows into utilities or modules that will later be integrated into a back end reduction or analysis system.

The models run on a small cluster and/or a supercomputer, and the data reductions of these model runs are done in python code that dumps files of metrics (kind of a GBs -> MBs reduction process). The notebook is at the very tail end of the pipeline, allowing me to make ad hoc graphics to interpret the results.

Re: Jupyter Notebook 7

#18

Post by catsarebetter » Thu, Jul 27, 2023, 5:59 AM UTC

nl wrote: post #4

> Both Jupyter Notebook and JupyterLab are widely used across data science, machine learning, computational research, and education. Are they though? Does anyone actually use JupyterLab by choice? From what I've seen people love Jupyter Notebook but find JupyterLab misses the mark (and this is certainly my experience).

100% tons of DL/ML researchers use Jupyter. I think the problem that most have is deploying the apps in prod.

Re: Jupyter Notebook 7

#19

Post by conkeisterdoor » Thu, Jul 27, 2023, 6:02 AM UTC

tempaccount1234 wrote: post #15

kltpacx wrote: post #12

I have never understood the appeal of this. You can generate good looking presentations, but that is all. Is any real science done with this or is it the Powerpoint for PyCon talks?

I didn‘t „get“ Jupyter the first time it used it. A year later it clicked. A Notebook keeps state while you write it. This is different from IDEs, where programs lose state while you are writing code. Now I use it all the time - next to an open IDE, as a playground to quickly test ideas and algorithms.

I also use it in tandem with my IDE day to day as a data engineer, for basically the same reasons. I really like being able to interactively explore and transform a dataframe while developing new pipelines, or debugging existing ones (all of which are implemented as modules in a Python package, not as Notebooks).

Re: Jupyter Notebook 7

#20

Post by jwilber » Thu, Jul 27, 2023, 6:10 AM UTC

kltpacx wrote: post #12

I have never understood the appeal of this. You can generate good looking presentations, but that is all. Is any real science done with this or is it the Powerpoint for PyCon talks?

Notebooks are chiefly used for scientific exploration and experiments. The “literate programming” environment provides convenient artifacts for distilling research or analytics.

Nowadays they can even be used for running models/analytics in prod with tools like Sagemaker (though I’m not advocating that they should).

Maybe you’re mistaking Jupyter for a different tool like quarto or nbconvert but your dismissive comment misses the mark by miles.