lukem567

I highly recommend the book 'Dare to Stop Anxiety and Panic Attacks' (https://www.amazon.com/Dare-Anxiety-Stop-Panic-Attacks/dp/09...).

It emphasizes accepting and allowing feelings of anxiety instead of actively resisting them, breaking the cycle in which worry about worsening anxiety only leads to its intensification.

Completely agree, and the Oct 2022 GCP decision to start charging "egress" fees for accessing multi-region storage buckets _within_ GCP was not much appreciated either!

(https://linen.futureofcoding.org/t/430914 is a working URL)

I think "good but not perfect" describes my experience here as well. I've certainly needed to rework some bits of code that were allocating when I didn't expect them to, but so far, this has not become too onerous (yet).

The "write a little bit of code, then test it to see if it allocates" approach has been very useful. That way I don't get too far out on a limb with a bunch of allocating code and no easy way to clean things up.

One of the many yaks! In this case taking memory mapped Vulkan buffers and unsafeing them to various Go arrays and whatnot. I have a gapbuffer implementation on top of this, and then a truly evil "gaptree" implementation that uses gapbuffers to represent a tree data structure.

Working on a way to write Oculus Quest apps in Golang. The entire thing is a tower of yak shaving. Current adventure: attempting to write a reactive UI system that doesn't need to dynamically allocate memory.

Any chance of being able to build models in Go (instead of just running them) in Tensorflow 2.0?