jupyter VS lsp-mode

For ipython, you'd better use some more specialized package like https://github.com/emacs-jupyter/jupyter, not the generic python support.

I have seen this thread, but I don't want to have to put an extra source block to set the renderers in every org file where I use plotly. Does anyone have a good solution for the moment? Any help is appreciated.

Should no one take you up on the bounty, I suggest trying emacs-jupyter instead. I've had better luck with it in the past.

For anybody following along with the examples, a few points/tips that might help newcomers:

1. (By default) before you can use Python source blocks, you need to have the Org Babel Python functionality loaded which is most easily done by evaluating the elisp (require 'ob-babel), but there are other ways also [1].

2. The first example, which uses the print function, will not output anything because the Python blocks by default are evaluated inside a function body and the return value is returned to Org [2]. To return the printed output instead, you need the header argument ":results output". There is an example of this syntax later in TFA.

3. If you are serious about replacing (or complementing) other Jupyter tools with Org mode, you might want to eventually look at emacs-jupyter [3], which provides a more advanced handling of outputs and also supports other (i.e. non-Python) kernels.

Also, I don't think I've ever seen anything like the debugging example and when I tried to replicate it out of curiosity, the block simply failed with a bdb.BdbQuit exception. Am I missing something? What is supposed to happen?

[1] https://orgmode.org/manual/Languages.html

[2] https://orgmode.org/worg/org-contrib/babel/languages/ob-doc-...

[3] https://github.com/nnicandro/emacs-jupyter

Emacs, Sublime Text 3 and Atom Pulsar can all do this with arbitrary Jupyter kernels with the emacs-jupyter/code-cells, helium and hydrogen packages, respectively.

You can use emacs as a jupyter client if that would help in your case https://github.com/nnicandro/emacs-jupyter

I've been using code-cells together with emacs-jupyter, the combination of the two lets you work pretty much identically as you would in Atom with Hydrogen, Sublime with Helium, or VSCode with the Jupyter Python extension; you just delimit code cells with #%% and execute in a separate Jupyter REPL buffer. It does require some getting used to the key bindings though (or some tweaking to make it more similar to what you're used to).

For writing source blocks: https://github.com/nnicandro/emacs-jupyter

I also tried to the solutions suggested  and , but nothing worked. I moved the (setq lsp-keymap-...) line outside (and before) use-package. I also used :config (define-key lsp-load-map...) in my use-package block. But none of them worked.

Not sure how much this might help, but lsp-mode has lsp-yaml-select-buffer-schema and lsp-yaml-set-buffer-schema commands to pick schema from a list or set from a URI. Checking the source of them might give some hints about how the same could be implemented in eglot?

Beyond that you might as well embrace the suck and install autex with a language server: https://emacs-lsp.github.io/lsp-mode/

Smart completion these days is done primarily through LSP. eglot is fairly minimal but built-in as of 29, also available via GNU Elpa. lsp-mode is another option with more integrations and a bit more fleshed out.

lsp-mode: https://github.com/emacs-lsp/lsp-mode/issues/2080

Are you running emacs-29? It has numerous speed-ups compared to emacs-28 and older versions, many of them coded by Mattias Engdegård, e.g. commit def6fa4246. I have a fresh build of emacs-29 running on Linux and a new mac with an M1 CPU, and it's stupid fast. I don't use the native-comp feature. I rarely notice any hesitation or slowness. I don't use Elpy. I do use lsp mode.

Since you are doing code development, the first things to go for would be setting up your emacs packaging (installing use-package and melpa (use-package's documentation covers this) so you have more packages to choose from (do be careful to not just pick things willy nilly but research them a bit first)) and then setting up lsp-mode. lsp-mode lets you use LSP servers for the specific programming languages you work with in a somewhat unified fashion. You then need to install and setup the LSP servers for the languages you use, and possibly install language specific Emacs packages as support (note, Emacs has builtin functionality for many).

And first of all, I'm trying to understand, how is it connected to https://github.com/emacs-lsp/lsp-mode? I'm sure, that existed lsp implementations already parse source code. Why TreeSitter?