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JupyterLab is ready for users

blog.jupyter.org

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Re: JupyterLab is ready for users

#231

Post by bosie »

jasongrout wrote: post #153
raymondgh wrote: post #91

I tried Jupyter Lab two weeks ago and found it to run unbearably slow. I'll try it again eventually I suppose, very well could have been a local issue

Please try again. We had some drastic speedups with notebooks, particularly on Firefox, in the last few weeks.

i installed it now (v0.31.8) via pip on centos7 with python 3.6. Switching to a notebook tab takes about two seconds (notebook has 45 python code cells), saving a texteditor with python code in it takes about 1 second. Chrome Version 63.0.3239.132 on macosx (15" macbook pro). "regular" jupyter notebook is instant on both things.

Re: JupyterLab is ready for users

#232

Post by ihnorton »

mistermann wrote: post #85
carreau wrote: post #74

Earlier quoted context omitted.

That's why Jupyter support more than 60 languages ( https://github.com/jupyter/jupyter/wiki/Jupyter-kernels ) which language did you had in mind ?

Perhaps a dumb question, but do those languages tend to have wrappers for common Python libraries like Pandas?

Julia does (Pandas, matplotlib, many others). Swift is getting some language features to make this kind of binding possible/simpler. IIRC xtensor does (or can) wrap Python libraries from c++.

Re: JupyterLab is ready for users

#233

Post by tsaoyu »

esmi wrote: post #150
tsaoyu wrote: post #87

Earlier quoted context omitted.

Mathematica/Python/MATLAB user. Mathematica and MATLAB do both have great documentation and intuitive examples shipped with their product, however, document your own code using their system is surprisingly hard (compared to Sphinx). Jupyter learnt the idea of the notebook from Mathematica (and some other notebook based math software) but the killer point is that it extends itself to more and more general purpose prog…

My workflow is very similar. But I am often forced to use matlab for simulation because the vendors I work with only deliver matlab libraries. They choose matlab because many engineers know how to use it and have licenses for it but also it gives mechanisms to protect IP which is a big deal to many firms. https://www.mathworks.com/help/matlab/matlab_prog/protect-yo...

I assume this situation also holds true for those using LabView to build their virtual instruments. IP wasn't really an issue for us since we have decided to open-source our project to broaden the knowledge of the public: https://github.com/Maritime-Robotics-Student-Society/sailing...

As a note, in Python, there is pyconcrete for code encryption. https://github.com/Falldog/pyconcrete

Re: JupyterLab is ready for users

#235

Post by po84 »

danielvf wrote: post #63
Tenoke wrote: post #55

Earlier quoted context omitted.

The simplest (and still educational) way would be to have the stuff in the different cells as functions, and to collect all the functions that should be re-run in a single cell. To do it more properly, however, you can have a post_save_hook for the whole notebook, which runs the code from whichever cells however often you want outside of the notebooks. Of course, this way you wont see the output in the notebook.

Yeah, output right in the notebook is important. I'm wanting them to be able to do something like this in a cell: for ship in myShip.radarScan(): if ship.is_enemy: display([ship.type, ship.range, ship.bearing]) And then have that cells results always showing the current data as they play the game.

> And then have that cells results always showing the current data as they play the game.

display handles that you can update from elsewhere in the notebook might be of interest. Here's an example:

https://github.com/ipython/ipython/blob/master/examples/IPyt...

Re: JupyterLab is ready for users

#236

Post by danielvf »

psykotic wrote: post #208
danielvf wrote: post #46

I'll be teaching a group of nine and ten years olds to code. I'm planning on using Jupyter. What I'd really like to do is make a multiplayer naval game, with each player controlling their ship from their own notebook. Players would start out by running commands like fire(range=400, bearing=120) right from a cell, but would later be able automate their ship - for example, pick the nearest enemy, get the range, and plu…

Your question relates more to IPython Kernel than Jupyter per se. Fortunately ipykernel has out of the box integration with event loops, e.g. https://github.com/ipython/ipykernel/blob/master/ipykernel/e... for asyncio integration, and you can then schedule cell updates on the asyncio event loop as you would normally. To have events on the Python side generate visible updates in the Jupyter notebook you can use ipywid…

Thanks! This looks like exactly what I was looking for.

Re: JupyterLab is ready for users

#237

Post by simonw »

_coveredInBees wrote: post #107
bitL wrote: post #34

Earlier quoted context omitted.

That's all nice but you go to real-world space/robotics/drones etc. shops and they all use Matlab or similar for their scientific computation and validation and treat Jupyter stack as a toy. Similar to telling a photographer to use Linux because there is GIMP and that should be enough for them.

Yeah, I work at a startup where we specialize in signal processing + ML. We have a robust set of infrastructure in MATLAB (use our own ML libraries rather than MATLAB's libs) and try as we might, we haven't been able to switch altogether to Python (despite a number of us being fans of Python). MATLAB has a TON of things that you don't get with Python + Numpy + Scipy. Complicated plots/graphics with interactivity are…

Have you tried bokeh for interactive visualizations? https://bokeh.pydata.org/en/latest/

Re: JupyterLab is ready for users

#238

Post by franga2000 »

veritas3241 wrote: post #25
sinab wrote: 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…

This is the no. 1 reason I use notebooks. I recently worked on a Python library for an undocumented API that returned broken, non-semantic HTML. Counting spans, parsing inline styles - that kind of hell. I honestly don't think I could've done it without Jupyter.

Re: JupyterLab is ready for users

#240

Post by RunningToMars »

ChrisRackauckas wrote: post #93
mschuetz wrote: post #19

Earlier quoted context omitted.

Last time I've tried Jupyter, about a year or two ago, the user experience wasn't even close to that of Mathematica. I guess I'll give it another chance, but can you tell me in what way Mathematicas notebook interface is outclassed, in your opinion? The only major beef I have with Mathematica are its default stylesheets. They suck, every single one of them. There is no good distinction between input and output fields…

I agree here. Being able to write code in the mathematical rendering is such a beautiful feature of Mathematica that Jupyter is missing. I am not sure how it's outclassed as a notebook because of this. As an IDE? Sure, Mathematica's notebook isn't a good IDE at all. But as a notebook for writing mathematical statements, it's fantastic. It's the one thing I need in order to go to an only Julia workflow.

People often overlook the eclipse IDE for Mathematica...

https://www.wolfram.com/workbench/

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