11–20 of 134 posts
I thought that by now dynamic garbage collection was a known quantity so that making changes, outside of out right bugs, is fairly safe and predictable?
In the world of AI written code, Python just doesn’t make sense. Converted about 100k lines in the last few months to golang and the performance is life changing. Curious if we will see global Python adoption fall by 75% or more in the next few years.
You are free to switch language but you still need to understand it.
"Python 3.14 shipped with a new incremental garbage collector. However, we’ve had a number of reports of significant memory pressure in production environments. We’ve decided to revert it in both 3.14 and 3.15, and go back to the generational GC from 3.13." Sounds the right move for me
In the world of AI written code, Python just doesn’t make sense. Converted about 100k lines in the last few months to golang and the performance is life changing. Curious if we will see global Python adoption fall by 75% or more in the next few years.
nothing about the performance characteristics of python changed with AI so why would you use python over golang if performance is a requirement/bottleneck? Trying to understand the reasoning as to me golang and python are equally simple to write and understand.
.NET seems to have regularly changed the garbage collector over the years and I do not remember any similar surprises in production. I wonder why they have had better experience? I thought that by now dynamic garbage collection was a known quantity so that making changes, outside of out right bugs, is fairly safe and predictable?
So any change to GC starts with massive .Net MSFT code base so they get extremely good telemetry back about any downsides and might be able to fix it in time.
"Python 3.14 shipped with a new incremental garbage collector. However, we’ve had a number of reports of significant memory pressure in production environments. We’ve decided to revert it in both 3.14 and 3.15, and go back to the generational GC from 3.13." Sounds the right move for me
The main benefit of python to me is that while slow, it's predictable. I do think they're going to get a lot more resistance to adding JITs, moving GCs, etc. it will become java with a million knobs to tune. If people want a JIT'd python just use pypy, right?
"Python 3.14 shipped with a new incremental garbage collector. However, we’ve had a number of reports of significant memory pressure in production environments. We’ve decided to revert it in both 3.14 and 3.15, and go back to the generational GC from 3.13." Sounds the right move for me
The main benefit of python to me is that while slow, it's predictable. I do think they're going to get a lot more resistance to adding JITs, moving GCs, etc. it will become java with a million knobs to tune. If people want a JIT'd python just use pypy, right?
PyPy doesn't have the support it needs and is stuck on 3.11.
In the world of AI written code, Python just doesn’t make sense. Converted about 100k lines in the last few months to golang and the performance is life changing. Curious if we will see global Python adoption fall by 75% or more in the next few years.
I think humans are still accountable for the code generated by agents. You are free to switch language but you still need to understand it.
Earlier quoted context omitted.
The main benefit of python to me is that while slow, it's predictable. I do think they're going to get a lot more resistance to adding JITs, moving GCs, etc. it will become java with a million knobs to tune. If people want a JIT'd python just use pypy, right?
And if people want python with java, there's always Jython.