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JupyterLab is ready for users

blog.jupyter.org

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Re: JupyterLab is ready for users

#171

Post by tda »

RobinL wrote: post #111

Absolutely love JupyterLab. Having used ipython for years, I switched to Jupyter Lab about 6 months ago and never looked back. The things I'm most impressed with (relative to Jupyter Notebooks, which were already amazing): - The ability to render .geojson, .json, markdown, Vega and Vega lite files, and integrate external tools like Voyager. - The new terminal is a joy to use compared to what came before it - The abil…

I am a heavy notebook user, but have just decided to switch to Jupyter Lab 5 minutes ago. This will make working on a remote server so much nicer, just start Jupyter Lab and an ssh tunnel and you have a terminal plus notebooks plus file editors all in one browser window. Great improvement, thanks!!

Re: JupyterLab is ready for users

#172

Post by dragonwriter »

tda wrote: post #170
teekert wrote: post #28

Loving Jupyter, I use it every day and for sure I will try this out. What I do miss though is good separation between code and data, it is a pain when someone just takes a look at your notebook and it autosaves, the code block counters reset, this alters the file and GIT reports a lot of alterations.

This so much. It is my only real complaint about notebooks. Would be so much nicer if a notebook was split in two files, like `my-notebook.input.ipynb` and `my-notebook.output.ipynb`, where `my-notebook.input.ipynb` would only contain code and be editable with any text editor similar to a .md file (and not some verbose xml). The output would contain all outputs, so that would be easily separated from the input if nee…

> Version control is too important to mess with.

Version control is too important to be left to the content-blind tools we typically use for it. In a perfect world, there'd be a core version control engine with content-specific plug-ins.

Re: JupyterLab is ready for users

#173

Post by eesmith »

jcims wrote: post #82
qubex wrote: post #4

Mathematica is wonderful in terms of sheer computational power, but the notebook interface it presents is hopelessly outclassed nowadays by initiatives such as these. I keep hoping Wolfram will spring some impressive new interface on us that will enhance usability for power users (rather than their weird attempts at bringing ‘computation’ to random casual users), but... I'm giving up hope. This looks very impressive.

I first used Mathematica in 1992 in a NeXT lab at Ohio State. It seemed like magic. If I recall correctly it had a notebook interface way back then, it was so cool doing 3D plots and tinkering with values to get a better intuition of the math.

At http://www.mathematica25.com/ you can see that the notebook front-end was in Mathematica in its first release in 1988.

One of the images from 1987 says "The Mathematica front end begins to take shape…" and "(Theo Gray invents cells and groups … and other things still seen today…)".

Re: JupyterLab is ready for users

#174

Post by mav3r1ck »

I love the term "reproducible computational narratives" from their post. This is a great step toward making software accessible for everyone. In addition, imagine how transparent governments and open source communities can be by helping explain the algorithms in use with a clear provided sense of understanding for everyone. On the project level, it can be useful for keeping it simple. It's all good stuff!

Re: JupyterLab is ready for users

#175

Post by dragonwriter »

in9 wrote: post #115
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…

To be totally honest, even though I love Jupyter notebooks, I wouldn't teach someone to code using it. See, as someone who's not, originally a programmer, I believe that teaching someone to code is intertwined with teaching (gradually) workflows and environments. Now, Jupyter is great (I'm a statistician btw) precisely because you have a presentable literate programming tool. That is extremely valuable for data analy…

> Now, If you are teaching programming in it self, I think the terminal + text editor is important since that is a step towards how things are done irl.

Jupyter (and similar) Notebooks are a way things are done "in real life"; they aren't just for entertainment purposes; and JupyterLab blends that into an IDE and the IDE with notebooks approach is also a way things have been done "in real life"; both with third-party tools incorporating Jupyter (and earlier IPython) notebooks, and with other IDE's incorporating notebook-style interaction.

Which isn't to say that there aren't arguments for teaching program outside of the notebook environment rather than within it (though the notebook is kind of a super REPL, and REPLs seem to me to be great tools for teaching), but that not using notebooks is better because it is how things are done "in real life" is just taking a highly selective view of real life.

Re: JupyterLab is ready for users

#176

Post by bguberfain »

Does anybody knows if with JupyterLab I will be able to keep some code running, close the browser, and still get the output of the code afterwards? For what I know, currently I have to keep the browser open if I want to capture the output of a cell.

Re: JupyterLab is ready for users

#177

Post by extr »

minimaxir wrote: post #76
rcthompson wrote: post #45

Earlier quoted context omitted.

I'm using RStudio notebooks heavily in my latest bioinformatics analysis pipeline. They're a great way to produce an HTML report containing code, exposition, results, and plots all in one place. https://github.com/DarwinAwardWinner/CD4-csaw (look at scripts/*.Rmd)

I wrote an article a few months ago on the differences between R Notebooks and Jupyter Notebooks (and why, IMO, R Notebooks are better): http://minimaxir.com/2017/06/r-notebooks/

R notebooks are the bees knees and frankly I'm surprised Jupyter hasn't borrowed more from them. It's so much easier being in plain-text until render time, and the output is easier to manage because you can trivially decide what chunks you want to echo, evaluate, plot at 2x size...etc without any change to the interactive usage. Not to mention you get to retain your nice IDE features like good code-completion, doc lookup, version control...

I am excited for Jupyter Lab and it's a step in the right direction. But it feels a little bit like they're reinventing the wheel with some of this stuff. I would gladly pay money for a python copy of the R ecosystem with RStudio, R markdown, R notebooks, where everything just works great by default.

Re: JupyterLab is ready for users

#180

Post by fizixer »

fizixer wrote: post #108

So let's say I am progressing inside a jupyter notebook top to bottom. I run code blocks, then some markdown, then code blocks, and so on. At some point I need to drop down to the terminal to run something. I run commands in the terminal I collect some results or collect some info and go back to my notebook to resume my work inside it. Later I need to look up something in a text file. I open a certain text file. Brow…

Replying to my own comment, I have a plot and a text file open side by side. I want to change a value in the text file and I want the plot to be updated automatically. The update might not be trivial, behind the scenes maybe the text file is an input to a simulation that runs for a minute, then computes some values in a table that are used for the plot. Can Jupyter allow you to do that?

Point being, offering an IDE in 2018 is not interesting unless you added something "smart" to the IDE that makes the life of the engineer/scientist easier compared to the rest. Otherwise, IDE's are being developed for the last three decades or more.

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