Memray: The endgame Python memory profiler - Talk Python to Me Ep.425

Understanding how your Python application is using memory can be tough. First, Python has it's own layer of reused memory (arenas, pools, and blocks) to help it be more efficient. And many important Python packages are built in natively compiled languages like C and Rust often times making that section of your memory opaque. But with Memray, you can way deeper insight into your memory usage. We have Pablo Galindo Salgado and Matt Wozniski back on the show to dive into Memray, the sister project to their pystack one we recently covered.

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[sillybuttons]

I really liked this one. Really appreciate Pablo taking the time to come on. Makes cpython feel more personal.

[sillybuttons]

I think we need round 3 of these two. Please!

[abdullahanati]

On Linux, the smallest amount you could possibly allocate from the system is always a multiple of 4KB..
...
I liked it when Matt questioned: Can it be lowered?