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I don’t do data science and I really don’t understand what Jupyter notebooks are used for. Are they just a way to explore ideas with immediate feedback?
(No "data science" here either, but into repl based instant feedback development & collaboratiove programming tools)
I don’t do data science and I really don’t understand what Jupyter notebooks are used for. Are they just a way to explore ideas with immediate feedback?
You can publish them on github or mybinder as persistent self documenting interactive repl sessions. Then others can see what the code did, the intermediate results, and can easily play with it. (No "data science" here either, but into repl based instant feedback development & collaboratiove programming tools)
Spyder has a Jupyter notebook plugin. I was able to get a notebook going and link the kernel to the IDE. The variable editor worked and I could debug code in Spyder and then paste it into the notebook. The notebook piece of it was good for graphics, widgets, markdown, etc.
Is spyder still super slow? I gave it up back in 2018 because of the (perceived) performance problems.
Ultimately, Matlab is a better fit for the things I want to do in technical computing. My employer offers it and Simulink with a wide variety of toolboxes and blocksets so I can get farther faster for the problems that interest me or that I am asked to solve. The new table datatype and the steadily improving Livescript make exploration and notetaking very easy. I've also been able to rely on Mathworks documentation to get up-to-speed in new areas.
Earlier quoted context omitted.
You can publish them on github or mybinder as persistent self documenting interactive repl sessions. Then others can see what the code did, the intermediate results, and can easily play with it. (No "data science" here either, but into repl based instant feedback development & collaboratiove programming tools)
Oh, very cool. Sounds like something I’d love to use. I always loved the Clojure REPL.
Earlier quoted context omitted.
You can publish them on github or mybinder as persistent self documenting interactive repl sessions. Then others can see what the code did, the intermediate results, and can easily play with it. (No "data science" here either, but into repl based instant feedback development & collaboratiove programming tools)
Oh, very cool. Sounds like something I’d love to use. I always loved the Clojure REPL.
(Jupyter supports "kernels" and there are also more non-Python language kernels that you can use)
Microsoft have released another IDE with notebook support called Azure Data Studio. It uses the same underlying code base as VS Code but is targeted at data driven tasks such as connecting to databases. Strangely, it uses a different jupyter notebook implementation to VS Code. I found it avoids some of the annoying bugs mentioned in another comment. It also introduces a SQL kernel which I’ve found useful for organisi…
> SQL kernel I've never heard this term before and a brief search for it did not bear any definitions. Can you expand on what exactly makes an SQL kernel?
Earlier quoted context omitted.
I'm curious, what interactivity do you enjoy about notebooks that you find missing in IDEs? I find my situation to be quite the opposite. I love developing/writing code in Pycharm because apart from all the things it excels at (introspection, auto complete, linting, documentation, debugging, etc), it lets me easily prototype things in the interactive python interpreter (usually set to IPython), has an excellent varia…
Microsoft Visual Studio level of Edit and Continue has never been well implemented in open source tooling (with the exception of certain Common Lisp implementations that predate even visual studio, I suspect Turbo Pascal might have this feature too but I have never really used it). This is why most people have to resort to hacks like notebooks and repls with bad UX that spend most of the time spewing errors at the us…
Not sure about Delphi though.
However, I would also point to Java, Smalltalk, Eiffel as another set of examples.
Needs more mention of emacs and org mode... :) I am curious to see the general workflow expanded on. I hesitate to think there is a single correct way to keep a notebook. Seems flexibility is the key feature. And is why text is so well used.
The only thing I would like is to be able to use the Python interpreter _within_ the context of a function sometimes, it's annoying when an error occurs inside a function and I can't access the local variables.
I like jupyter notebooks too, but one of the things stopping me is that I can't use emacs features for editing ;)
I'm trying to implement these same features in my app, Repla, but without requiring an editor plugin, and instead having a view in a separate app that automatically updates via file-system events when you save. There's some more information here https://repla.app/live-coding.html It's an approach that I think has somes pros and cons relative to integrating these features into an IDE. The main argument for moving them…