I'm working on a multiprocessing python application where multiple processes need access to a large, pre-loaded spaCy NLP model (e.g., en_core_web_lg). Since the model is memory-intensive, I want to avoid loading it separately in each process, since I quickly run…
I need to download many files (More than 1 GB) from telegram group, with telethon and single call the download is slow... (Abount 5, 6 Mbps) I have already installed cryptg but no changes... Thanks a lot Stefano This is…
I have a question for someone with more experience with Python's multiprocessing library, I'm pretty much lost at this point. I'm currently building an image processing app that should run on both Windows 11 and an OrangePi5 with Debian Linux…
I am currently working on a multiprocessing Python program where each process writes its index to shared memory as a consecutive 4-byte integer. and there is a reader that reads other processes' indexes without any locks(due to the speed limitations).…
I'm trying to run two coroutines together and using async, one is teleton telegram client and one async task who get data every minute for the telegram bot. Some code: from asyncio import Runner from asyncio import sleep import asyncio…
See the following Python code. I am using the Process class from multiprocessing module to define Python processes. time1 is the time before starting the processes and time2 is the time after all the processes are started. For Ubuntu, the…
I have a script like this for epoch in range(num_epochs): for bag in range(num_bags): feats = pd.read_csv(f"feats_{bag}.csv") ... # some logic As you can see, it repetitively reads data from a set of files. Each "feats_{bag}.csv" file is repetitively being…
I made a program to simulate heavy mail management by using python multiprocessing Pool and Queue : from multiprocessing import Pool, Queue import time import uuid import os NB_WORKERS = 3 NB_MAILS_PER_5_SECONDS = 2 MAIL_MANAGEMENT_DURATION_SECONDS = 1 def list_new_mails_id(): for…
Multi-threading in CPython cannot use more than one CPU in parallel because the existence of GIL. To break this limitation, we can use multiprocessing. I'm writing Python code to demonstrate that. Here is my code: from math import sqrt from…
PS : Run on Ubuntu with python I am trying to solve a bunch of routing problems (Travelling Salesman). The set of customers can change every day so I take random samples of the network and solve each of those…