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JupyterLab is ready for users

blog.jupyter.org

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Re: JupyterLab is ready for users

#111

Post by RobinL »

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 ability to set out multiple windows easily, much like an IDE

- The plugin ecosystem means that we can start writing custom components for the analytical platform we're building.

Thanks so much to the team!

Re: JupyterLab is ready for users

#113

Post by eggy »

gh02t wrote: post #44
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.

Mathematica still has some parts that are nice though. Especially interactive plots (which you can do in IPython but not as simply) and some of the neat metaprogramming stuff. A big thing is that Mathematica (the language) is homoiconic, which I think works really well for their interface. But I prefer IPython as well. Mathematica is awesome, but Wolfram is pretty heavy handed with the proprietary stuff. Edit: one th…

I also like Mathematica, and I think the curated data is amazing for impromptu explorations. I guess there are more and more sources of data available online for Jupyter to query, however, the Mathematica API and access to this curated data is effortless.

Re: JupyterLab is ready for users

#114

Post by highesttide »

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…

Related to that idea, there is a game called screeps [0] that has a lot of that general idea and executes it fairly well. The payment model discouraged me from sticking with it, sadly.

[0] https://screeps.com

Re: JupyterLab is ready for users

#115

Post by in9 »

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 analysis and model building.

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. But if you think that the terminal is too much for your audience, just go for IDLE, which has many advantages for python development + teaching, and is already a step towards text editor + terminal or IDE level development.

Re: JupyterLab is ready for users

#117

Post by gd2 »

jorgemf wrote: post #105
Quenty wrote: post #78

Earlier quoted context omitted.

Yeah, you can connect your GPU for machine learning, but that seems to be it.

You can use it with GPUs: https://towardsdatascience.com/fast-ai-lesson-1-on-google-co...

I've read Google Colaboratory provides 12 hours of free GPU usage. Even without using the GPU, I find the Colab version useful

Re: JupyterLab is ready for users

#118

Post by goerz »

qubex wrote: post #17
pmart123 wrote: post #8

Earlier quoted context omitted.

As someone who used Matlab and Mathematica in college, I'm not sure I'd want to have a closed source solution really take off again at this point. While they provided great products and documentation, they also made it much more difficult to share code/visualizations due to restrictive and expensive licensing. Ultimately, I think the ability to share information easily should help spur scientific advancement.

I share your sentiment, but in truth, Mathematica's symbolic algebra capabilities are above and beyond what everything else offers by a wide margin.

For now

Re: JupyterLab is ready for users

#119

Post by gd2 »

A key point - for me as a user unlikely to develop extensions- is buried some paragraphs down. "JupyterLab 1.0 will eventually replace the classic Jupyter Notebook. Throughout this transition, the same notebook document format will be supported by both the classic Notebook and JupyterLab."

Re: JupyterLab is ready for users

#120

Post by goerz »

gh02t wrote: post #44
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.

Mathematica still has some parts that are nice though. Especially interactive plots (which you can do in IPython but not as simply) and some of the neat metaprogramming stuff. A big thing is that Mathematica (the language) is homoiconic, which I think works really well for their interface. But I prefer IPython as well. Mathematica is awesome, but Wolfram is pretty heavy handed with the proprietary stuff. Edit: one th…

That's more a restriction of Python, though. It's important to remember that the Jypter Notebook (and now, JupyterLab) is language agnostic. The Julia language, for example, is very well integrated into Jupyter (which, in fact, is a backronym for Julia-Python-R), and Julia is homoiconic.
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