Advertisements I’m working on a simple script that utilizes the multiprocessing module. I have no experience with this module and I’m just trying to understand how to use it. I’m starting simple. However, I’ve encountered a puzzling behavior where the print statement in my script is being executed twice. My understanding is that, as long… Read More Why Does a Print Statement Execute Twice in a Python Multiprocessing Script?

Advertisements I am trying to create a class that enables counting based off of the multiprocessing Queue: import multiprocessing from multiprocessing import Value from multiprocessing.queues import Queue class SharedCounter(object): """ A synchronized shared counter. The locking done by multiprocessing.Value ensures that only a single process or thread may read or write the in-memory ctypes object.… Read More Python class missing attribute that was initialized?

Advertisements I want to use pool.impa to use multiprocessing for the following code: # RSI def predict(stock_symbol,date_confidences): stock_data = pd.read_csv(f’data/{stock_symbol}’) # Calculate the RSI change from the previous row stock_data[‘rsi_change’] = stock_data[‘RSI’].diff() # Initialize the ‘label’ column with zeros stock_data[‘predict’] = 0 # Set ‘label’ to 1 for rows where RSI is below 30 and… Read More How to send multiple arguments to a function when using imap?

Advertisements The output should be: [[], [‘new element’], []] but is [[], [], []] just blank. Why? from multiprocessing import Manager if __name__ == ‘__main__’:# Create a Manager object manager = Manager() # Create a shared list of lists shared_list = manager.list([[], [], []]) # Append an element to the second index element = "New… Read More Why can't i append to manager.list()?

Advertisements How can I efficiently parallelize complex data processing in Python to improve the performance of my program? I have a large amount of data that needs to be processed using a specific function process_data(). Since the processing is computationally intensive, I would like to parallelize it using both multiprocessing and threading to leverage multiple… Read More Efficient Parallel Data Processing in Python using numpy, multiprocessing, and threading

Advertisements I am using multiprocessing module to parallelize the script but not sure if it is using all the available cores. Is there a straightforward way to find it? import numpy as np import multiprocessing import time def fibonacci(n): sequence = [0, 1] while len(sequence) < n: next_number = sequence[-1] + sequence[-2] sequence.append(next_number) return np.array(sequence)… Read More Number of cores a Python script is using

Advertisements I am making a timed beep test as a skit for an event with my cadet corps and I can’t get the timer to run at the same time as the beep test audio. import os, playsound, multiprocessing, time cwd = os.getcwd() def beep_test(): audio= "".join((cwd+"\\BTsound.mp3")) playsound.playsound(audio,True) def multitasking(): sound_process = multiprocessing.Process(target=beep_test()) sound_process.start() timer… Read More Why won't the timer run when the audio runs?

Advertisements Here is the code. import time from multiprocessing import Process, cpu_count def counter(num): count = 0 while count< num: count +=1 def main(): a = Process(target=counter, args=(100000000,)) a.start() a.join() print("finished in", time.perf_counter(), "seconds") if __name__ == ‘__main__’: main() This is the return in the terminal. finished in 808748.985729608 seconds The program is completed in… Read More Python Process time always returning a huge number even though it runs like normal?

Advertisements I am working on a project which runs two separate python processes. When I do a ctrl + c to end the program, I would like the program to end gracefully. I can produce a minimum working version of the code through the following: from multiprocessing import Process import os import sys import time… Read More Gracefully handling keyboard interrupt for Python multi-processing

Advertisements I’ve looked at many solutions but none are working for me. I have a simple function (with arg) for a while loop. I would like to run that function with arg1 concurrently with the same function with arg2. At the moment it will only run the first function (output is infinite "func: 1") Here… Read More Python – run 2 loops (same function, different args) concurrently