python parallel for loop – How to parallelize a loop in Python?

python parallel for loop Use the multiprocessing Module, Use the joblib Module and Use the asyncio Module to Parallelize the for Loop in Python Example with demo.

python parallel for loop – Quick and Easy Parallelization in Python

python parallel for loop : Parallel for Loop in Python. This post will cover the implementation of a for loop with multiprocessing and with multithreading.

We will be making multiple requests.

Use the multiprocessing Module to Parallelize the for Loop in Python

Example

import multiprocessing

def sumall(value):
    return sum(range(1, value + 1))

get_ranks = multiprocessing.Pool()

answer = get_ranks.map(sumall,range(0,5))
print(answer)

Result

0, 1, 3, 6, 10

Use the joblib Module to Parallelize the for Loop in Python

Example

from joblib import Parallel, delayed
import math

def get_ranks(i, j):
    time.sleep(1)
    return math.sqrt(i**j)

Parallel(n_jobs=2)(delayed(get_ranks)(i, j) for i in range(5) for j in range(2))

Result

[1.0,
 0.0,
 1.0,
 1.0,
 1.0,
 1.4142135623730951,
 1.0,
 1.7320508075688772,
 1.0,
 2.0]

Don’t Miss : For Loop Increment By 2 In Python

Read Also:  python Escape Sequences characters with examples

Use the asyncio Module to Parallelize the for Loop in Python

Example

import asyncio
import time
def background(f):
    def wrapped(*args, **kwargs):
        return asyncio.get_event_loop().run_in_executor(None, f, *args, **kwargs)

    return wrapped

@background
def get_ranks(argument):
    time.sleep(2)
    print('function finished for '+str(argument))


for i in range(10):
    get_ranks(i)


print('loop finished')

Result

ended execution for 4
ended execution for 8
ended execution for 0
ended execution for 3
ended execution for 6
ended execution for 2
ended execution for 5
ended execution for 7
ended execution for 9
ended execution for 1

I hope you get an idea about python parallel for loop.

I would like to have feedback on my infinityknow.com.
Your valuable feedback, question, or comments about this article are always welcome.
If you enjoyed and liked this post, don’t forget to share.