On one of my servers I needed to disable icons which AstroNVim handles very conveniently (https://docs.astronvim.com/recipes/icons/#disable-icons). After switching I noticed that using AstroNVim feels so much more natural to me. It's been a joy to use.

I think it might be because the defaults are less bespoke and it's just a bit leaner. The community packs have also been great for customization.

[1]: http://pandas.pydata.org/pandas-docs/stable/reference/api/pa...

Take a faceted plot like this scatter matrix [1] and try to plot it in matplotlib. You would need to set up the grid using subplots, then define the combinations you want and finally write logic to fill each subplot. The vega/altair code is much more declarative. You just tell it what needs to be in the rows/columns and vega/altair takes care of the rest.

[1]: https://altair-viz.github.io/gallery/scatter_matrix.html

I am not a professional js developer but I do like to build dinky websites. I generally prefer not to bother with build steps or dependencies. For me it's preferable to have my own implementation of a function within the file or project I am working in. That way I can directly inspect what the function is doing, which is "more readable" to me.

Moreover, sometimes I need functionality that is similar but just a bit different from something that lodash does. This seems like a good resource to check for inspiration.

Series.map is not compiling your lambda's to C and running it. If there is a built-in method available it usually will be faster. Notable exception are pandas str methods which devolve into Python code but generally with more overhead than map/apply.