A "Best of the Best Practices" (BOBP) guide to developing in Python. - bobp-python.md

We found our hard to diagnose Python memory leak problem in numpy and numba using C/C++.  It turned out that the numpy array resulting from the above operation was being passed to a numba generator compiled in "nopython" mode. This generator was not being iterated to completion, which caused the leak.

detect memory leak by LD_PRELOAD, without changing the target program - WuBingzheng/libleak

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+1000 !

Merge your code efficiently

Whatever your programs are doing, they often have to deal with vast amounts of
data. This data is usually represented and manipulated in the form of strings.
However, handling such a large quantity of input in strings can be very
ineffective once you start manipulating them by copying, slicing, and modifying.
Why?

Let's consider a small program which reads a large file of binary data, and
copies it partially into another file. To examine out the memory usage of this
program, we will use memory_

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(MicroPython)