Be careful with that, numpy arrays can be slower than Python tuples for some operations. The creation is always slower and the overhead has to be worth it.
Yeah. Many seem to forget it. For one-off computation tasks, NumPy, PyTorch, JAX have non-trivial overhead, and might even be slower than vanilla Python. Only when repetition, loops, etc. come into the picture, which is recurring in many people’s workflow - JAX or NumPy is worth it.
Classic sour entitled old person behavior, thinking the crumbs they're deigning to offer are praiseworthy gold as they beg for human attention. It's unfortunate that we can't just not pick up the phone, as all the other sour entitled people voted to have this fool run our country into the ground.
I like it because it's based on Ubuntu, so there's almost always a working guide/solution targeting it. It also ships with Nvidia drivers which saves a lot of headaches for some users. To me the game-changer is the fact that it supports tiling window management with minimal configuration.
As an American, I think we make this excuse too often. People have opposed and overthrown their governments more effectively under much harsher circumstances.
Haha, I started reading this, got interrupted, came back and got confused by the graph. Then came to the comments, saw your comment, reloaded the post and voila!
This can't come soon enough. Python is great for CLIs until you build something complex and a simple --help takes seconds. It's not something easily worked around without making your code very ugly.
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