I am learning multiprocessing in Python, and thinking of a problem. I want that for a shared list(nums = mp.Manager().list), is there any way that it automatica
I'm trying to use multiprocessing to map a Boost-wrapped function over multiple cores. This works fine in python 2.7, but is failing in python 3.8. I know the o
I don't have really understood what happened. I was executing this code, a moment ago it works and then it returns an error. EDITED The code takes from euronext
I am writing a multi-threaded python scraper. I am facing an issue where my script quits after running for 0.39 seconds without any error. It seem that the pars
I am only using the basic joblib functionality: Parallel(n_jobs=-1)(delayed(function)(arg) for arg in arglist) I am frequently getting the warning: UserWarn
I am currently trying to store the output obtained in a function during multiprocessing by using concurrent.futures.ProcessPoolExecutor from concurrent.futures
Python's multiprocessing.Queuefails intermittently, and I don't know why. Is this a bug in Python or my script? Minimal failing script import multiprocessing
How to wait in bash script to subprocess and if one of them return exit code 1 so I want to stop all subprocess. This is what I tried to do. But there are a som
I have code like: def get_df(path, key): with h5py.File(path) as hdf: df = pd.DataFrame(np.array(hdf[key])) return df def f(key): df = get_
I'm developping a game using pygame and I want to create a loading screen while the assets are loaded. The loading screen have animations, so loading screen and
Say I have a function that gives me a lot of data coming from a device when called. I want to accumulate this data in a memory buffer. When the buffer reaches a
I've created a simple HTTP Server with python and asyncio. But, I have read that asyncio-based servers can only take advantage of one CPU core. I am trying to f
My current code is like this: import torch import torch.multiprocessing as mp t = torch.zeros([10,10]) t.share_memory_() processes = [] for i in range(3):
I have N independent tasks that are executed in a multiprocessing.Pool of size os.cpu_count() (8 in my case), with maxtasksperchild=1 (i.e. a fresh worker proce
So I'm trying to use multiprocessing Manager on a dict of dicts, this was my initial try: from multiprocessing import Process, Manager def task(stat): tes
When I create a PyTorch DataLoader and start iterating -- I get an extremely slow first epoch (x10--x30 slower then all next epochs). Moreover, this problem occ
I don't know much of Python yet, but I'm trying to create an app that controls multiple streams of sound simultaneously (It has to do with binaural beats, noise
I have been working for some time to find a way to graph incoming data from an arduino with a Python GUI. I was able to accomplish this using the Matplotlib ani
I read an old question Why does this python multiprocessing script slow down after a while? and many others before posting this one. They do not answer the prob
I have a simple Algorithm, I want to run it fast in parallel. The algo is. while stream: img = read_image() pre_process_img = pre_process(img) text