with module change autorun, the ability to use your own editor, and exporting to scripts,
@marimo_io has merged data science tooling with software engineering tooling!
The feedback loop you get when using @marimo_io is insane!
I recently had the deepest feeling of being in the zone when trying to solve a data analysis problem.
Thank you @akshaykagrawal. I consider this to be a *MAJOR* development in the @PyData stack.
(@DVCorg last mjr dev)
I'm seeing a maturation of the @PyData stack.
env mgt, project mgt, notebooks, data pipelining, distributed compute, viz, dataframes, tensor computation, are the "baseline" problems that seem to be essentially solved to me.
what else is there??
@menhguin combination of:
* large population with a small percentage of high achievers who basically lift up everyone else (there is a study)
* higher ed: is still the best
* immigration: accommodation for researcher types and (proven) high achievers. (good students face barriers though)
@__asaboor__@kolibril13 ...even if it does, morimo gives you the dep graph, a .py, and the ability to treat a notebook as a module.
jupyter doesn't come close to this. you'd need to create a Frankenstein.
wow so #nix is 20 years old and it went under the radar of VM *and* containerization and devops eras!
seriously, #nix had the right fundamentals from the start!