[airtag]

Totally depends on the business you're in.

If you're dealing in areas with short time limits then Python is great, because you can't sell a ticket for a ship that has sailed.

And I've seen "the right way" which, again, depending on the business may result in a well designed product that is not what's actually needed (because people are really bad at defining what they want)

What's brilliant with Python compared to other hacky solutions that it does support test, type hints, version control and other things. It just doesn't force you to work that way. But if you want to write stable, maintainable code, you can do it.

That means you can write your code without types and add them later. Or add tests later once your prototype was been accepted. Or whenever something goes wrong in production, fix it and then write a test against that.

Oh and I totally agree you should certainly try to "do things the right way", if the business allows it.

[osigurdson]

It is hard to believe that Python is objectively that much more productive than other languages. I know Python moderately well (with much more real world experience in C#). I like Python very much but I don't think it is significantly more productive than C#.

[zeku]

Python is out of this world more productive in the Science space and Data space.

The only thing that can compete with it for productivity in the science space is R.

[cjalmeida]

This. C#, Java or even newcomers such as Kotlin/Go are even in the same ballpark due to the REPL/Jupyter alone. Let alone when you consider the ecosystem

[kyawzazaw]

If you are in a lab (natural science lab) or anywhere close to data, I bet you it is much more productive, even more so when you have to factor in that the code might be exposed to non-technical individuals.