I am using dask for extending dask bag items by information from an external, previously computed object arg. Dask seems to allocate memory for arg for each partition at once in the beginning of the computation process. Is there a workaround to prevent Dask from duplicating the arg multiple times (and allocat…
Tag: memory-management
Python memory release when using a for loop inside a class
I have some troubles after I created a class to process raster images. The class includes different methods for checking DBs and processing the images. The usage script is super simple: The method run_extraction() is the following: The method does several steps for getting an observation for a given variable.…
python-vlc running out of memory after playing multiple songs
I am writing a python program, running on a raspberry pi (PI 3 A+), that plays a song every 10 minutes. I am using python-vlc to play the song through the pi’s headphone jack. PlaySong() is a function that gets called (successfully) every 10 minutes. This works as expected the first 6 times. After 6 tim…
The find_elements () function in Selenium consumes a lot of RAM
Description of the situation: It is a script that scrolls in a frame in order to extract the information. The list length of about 30 items, when scrolling, no new items are added <li> </li>, only updated. The structure of the DOM does not increase. Explaining the problem: When the script scrolls,…
What for we call for the typing import List from the Python Standard Library?
I am solving some questions from the Leetcode: https://leetcode.com/problems/remove-duplicates-from-sorted-array/ I find the answers: Given a sorted array, remove the duplicates in-place such that each element appear only once and return the new length The answer for this question can be, too: I can’t f…
Why the difference is 320 in the address of two different variables in python?
I initialised different values for different variables in python as when i use id(x), id(y), id(z) for finding the respective address of x,y,z i found that all their address are differed by 320. Why they are differed by 320 and why their address are not continuous. Answer You are seeing the results of a CPyth…
How does numpy avoid copy on access on child process from gc reference counting
On POSIX systems, after you fork(), data should only be copied to the child process after you write to it (copy on write). But because python stores the reference count in the object header, each time you iterate a list in the child process, it will copy it to its memory. Testing that with lists and other dat…
Are there disadvantages of using __slots__?
I’m using Python 3.7 and Django. I was reading about __slots__ . Evidently, __slots__ can be used to optimize memory allocation for a large number of those objects by listing all the object properties ahead of time. My perhaps obvious question is why wouldn’t we want to do this for all objects? Ar…
How do I check if PyTorch is using the GPU?
How do I check if PyTorch is using the GPU? The nvidia-smi command can detect GPU activity, but I want to check it directly from inside a Python script. Answer These functions should help: This tells us: CUDA is available and can be used by one device. Device 0 refers to the GPU GeForce GTX 950M, and it is cu…
How to cut my addiction to Python dictionaries
So, I have a large 30k line program I’ve been writing for a year. It basically gathers non-normalized and non-standardized data from multiple sources and matches everything up after standardizing the sources. I’ve written most everything with ordered dictionaries. This allowed me to keep the colum…