Hacker News Board Hacker News, browsed like a classic message board
Live data from Hacker News

JupyterLab 3.0

blog.jupyter.org

Post reply on HN
Print view View original

1–10 of 145 posts

Re: JupyterLab 3.0

#2

Post by jjcon »

Interesting that they include mamba install instructions before conda.

Is mamba taking off with the recent (and upcoming) license changes that anaconda made? I’m not familiar with mamba though I’ve had my eyes open for an alternative to anaconda (also seen poetry mentioned a few times here).

Re: JupyterLab 3.0

#3

Post by losvedir »

Hmm, what is mamba? I thought I was at least sort of up to date with the various python dependency managers, but that one is new to me.

Relatedly, I have a grand vision of having as part of my development environment a jupyter notebook always at hand, in which to explore data as necessary, whip up scripts, accumulate little helper functions, etc. Basically, any time I have that "hm, I wonder..." itch, I'd like to be able to quickly whip up a solution in my notebook. I'm a skilled developer in terms of larger systems, but have a weakness when it comes to very early stage "throwaway" scripts to answer ad-hoc questions.

I spent a few days trying to set up jupyterlab in an "ideal" way, so that I could have easy access to python libraries within my notebook, and also a reproducible environment since I plan to push my working directory to GitHub and would like to sync across different machines. I got confused by virtualenv vs venv, and tried conda to install libraries, but ran into various problems. Oh, and part of it was trying to have nbdev (from the fastai folks) as part of this toolkit.

Anyone have a setup like this that they use and want to share? Part of me wants to just throw in the towel and learn R and RStudio, since I've heard its ggplot is the best plotting library anyway.

Re: JupyterLab 3.0

#5

Post by nxpnsv »

losvedir wrote: post #3

Hmm, what is mamba? I thought I was at least sort of up to date with the various python dependency managers, but that one is new to me. Relatedly, I have a grand vision of having as part of my development environment a jupyter notebook always at hand, in which to explore data as necessary, whip up scripts, accumulate little helper functions, etc. Basically, any time I have that "hm, I wonder..." itch, I'd like to be…

Mamba is a reimplementation of the conda package manager in C++. (quote from README at https://github.com/mamba-org/mamba, linked to in original post)

Re: JupyterLab 3.0

#6

Post by klelatti »

losvedir wrote: post #3

Hmm, what is mamba? I thought I was at least sort of up to date with the various python dependency managers, but that one is new to me. Relatedly, I have a grand vision of having as part of my development environment a jupyter notebook always at hand, in which to explore data as necessary, whip up scripts, accumulate little helper functions, etc. Basically, any time I have that "hm, I wonder..." itch, I'd like to be…

Have you looked at any of the Jupyter Docker Stacks images? [1]

I've built some personal Docker images based on these with quite a lot of additional features installed including Ruby, OpenCL and lots of additional Python and R packages and JupyterLab extensions. It's been a bit hit and miss - with extension incompatibilities being a bit of an issue. I sync directories on the host machine with the Docker image and so have the benefit of editing in a full text editor (for non-notebook scripts).

I'm not a Python env expert so I've probably missed a few tricks but all seems to be working well now. Happy to help if you want to try this route and have any issues.

Btw after using JupyterLab for over a year now I'm a huge fan.

[1] https://jupyter-docker-stacks.readthedocs.io/en/latest/

Re: JupyterLab 3.0

#7

Post by sgillen »

I was really excited to see the visual debugger there. I tried it myself, it was really easy to get it going. Unfortunately, using it briefly in the notebook I was using I found it pretty buggy, lots of glitches and big slowdowns in the UI. I would also really love to see the option to drop into an interpreter while debugging.

Still, can't complain too much about an open source project, thanks to the team for all their hard work.

Re: JupyterLab 3.0

#9

Post by vlgnat »

nxpnsv wrote: post #5
losvedir wrote: post #3

Hmm, what is mamba? I thought I was at least sort of up to date with the various python dependency managers, but that one is new to me. Relatedly, I have a grand vision of having as part of my development environment a jupyter notebook always at hand, in which to explore data as necessary, whip up scripts, accumulate little helper functions, etc. Basically, any time I have that "hm, I wonder..." itch, I'd like to be…

Mamba is a reimplementation of the conda package manager in C++. (quote from README at https://github.com/mamba-org/mamba , linked to in original post)

Funny, Python is too slow for a package manager and most people who can write fast C extensions have left the scene.

So C++ is the natural choice.

Re: JupyterLab 3.0

#10

Post by roseway4 »

vlgnat wrote: post #9
nxpnsv wrote: post #5

Earlier quoted context omitted.

Mamba is a reimplementation of the conda package manager in C++. (quote from README at https://github.com/mamba-org/mamba , linked to in original post)

Funny, Python is too slow for a package manager and most people who can write fast C extensions have left the scene. So C++ is the natural choice.

> most people who can write fast C extensions have left the scene

Care to elaborate?

Post reply on HN