[snovymgodym]

Highly dynamic languages existed for decades prior to 1995, Python was not particularly innovative in its features at the time. There were also countless languages more feature-rich than C being used for development at the time.

The biggest change that happened was that hardware kept getting better and it became feasible to use garbage-collected languages everywhere including really inefficient implementations like CPython.

That being said, 30 years later Python is still slow as shit even compared to other dynamic languages and runs into all kinds of scaling issues when used for anything serious. And everywhere that performance matters, software continues to be written in typed, compiled languages including C (but also C++, Rust, Go, etc.). Even in ML, Python chiefly acts as a thin wrapper and glue language for high performance CUDA libraries (aka C and C++).

So your historical analogy is mostly anachronistic.

[ActorNightly]

No, you just don't have a grasp on reality. For example, you claim that Python runs into scaling issues for anything serious, but you are blissfully unaware that youtube and uber both run python backends. Nobody cares that its "slow" by whatever metric you consider. Its fast enough. The metric that matters is developer time not compute time, because the former is vastly more expensive. Python and Node are the number one languages on github for a reason. And you are vastly deluded on how many jobs there for C++ and Rust devs lol.

In the future, you won't be dealing with strings, json, or apis. You will be importing agents, and giving them brief instructions, either in plain English or in some intermediate language higher than Python that is more brief. Wanna deal with database reliability ? Import database agent and give it brief instructions on what you want to manage. Just like you mention, right now Python is the wrapper for low level libraries, because everyone who is doing work in ML doesn't want to waste time making sure their C Cuda kernels compile. In the same way, nobody is going to care if they get the API headers right, or if their strings are correctly parsed when you can just invoke a dedicated LLM (which will likely be highly specialized small model able to run on local hardware) to do all that.

You can scream and cry as much as you want how that is bad, how its slow, but nobody is going to care because shit is going to get built faster. Ever notice how despite the massive layoffs across tech, there isn't service degradation in any sector? Good luck trying to sell your Rust skills in the future lol.