Jupyter Collaboration has a history slider

https://blog.jupyter.org/exploring-a-documents-timeline-in-jupyterlab-6084f96db263

57•fghorow•3mo ago

Comments

fghorow•3mo ago

This Jupyter (CRDT-based) extension appears to solve the BIGGEST HEADACHE I personally have with Jupyter(lab). Jupyter notebooks allow me to hack code/parameters too fluently, and I can't recover earlier positions in code/parameter space that produced interesting results.

Jupytext and git goes some way towards fixing that, but I don't save to git after every cut/paste of a parameter. This extension is effortless.

As a bonus, the extension appears to allow SubEthaEdit/GoogleDocs style collaboration too. (I haven't personally used that yet.)

Check it out.

cnees•3mo ago

Both collaboration and history are killer features. I'm going to have to try this out at work!

shevy-java•3mo ago

Jupyter is really dominating now at university campus sites. I see it used for almost every course (at the least those that require data analysis via python).

Almondsetat•3mo ago

And rightfully so. It's an interactive programming environment with embedded explanations. Between markdown and latex, you can write an entire class inside it. It's perfect for live demostrations and homework. Bloated as hell? Sure, but a huge step in education IMHO

reubenmorais•3mo ago

Maybe rather an interactive explanation and exploration environment with embedded programming?

jcgl•3mo ago

Like a more specialized, accessible, and graphical Org mode.

heresie-dabord•3mo ago

> it integrates seamlessly with JupyterCAD, JupyterLab’s extension for creating and manipulating 3D models.

Today I learned... Jupyter has an extension for 3d modelling.

Can anyone comment on this extension?

https://github.com/jupytercad/JupyterCAD

doubleg72•3mo ago

Wow that is very interesting, I cannot comment but im definitely going to be checking it out today.

plipt•3mo ago

I haven’t used Jupyter in a few years. Wondering what is the current standard practice of starting a new Jupyter project.

Do users typically have one system-wide Jupyter install that gets reused for each data analysis project that then have their own dependencies in a virtual environment that Jupyter activates?

Or is Jupyter installed inside each project’s virtual environment?

porridgeraisin•3mo ago

ipykernel (jupyter basically) is installed in the virtual environment itself, especially since sometimes different envs are different python versions.

morkalork•3mo ago

I'm definitely guilty of This system-wide install but I've noticed people doing per-project installs more often now and I'm trying to get in the habit.

epistasis•3mo ago

Typically one Jupyter install system wide, and then multiple kernels with each environment.

Personally, I really like the juv model where dependencies are taken from the first cell of the notebook and a new kernel is created to launch the interface, but I haven't seen others using it much yet:

https://github.com/manzt/juv

heisenzombie•3mo ago

The idea is good, but juv is a one-jupyter-per-notebook model which isn't very practical for how my team uses jupyter. My attempt at "juv, but systemwide-jupyter-plus-one-kernel-per-notebook model" is this: https://github.com/tobinjones/uvkernel

epistasis•3mo ago

Very nice, thanks for sharing!

bicepjai•3mo ago

Off topic: Tried to open the link and there seems to be Medium global outage. Have not seen that before.

cnees•3mo ago

Probably related to today's massive AWS outage

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