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how to parallelize for loop in python

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Adorable Aardvark answered on August 24, 2021 Popularity 3/10 Helpfulness 1/10

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How to Parallelize a For Loop in Python

Parallelizing a for loop in Python can significantly boost performance for computationally intensive tasks. Here are three popular ways to achieve it:

Using the concurrent.futures Module
The ThreadPoolExecutor or ProcessPoolExecutor from concurrent.futures allows you to easily parallelize tasks:from concurrent.futures import ThreadPoolExecutor

def task(n):
    return n * n

nums = [1, 2, 3, 4, 5]
with ThreadPoolExecutor() as executor:
    results = list(executor.map(task, nums))
print(results)  # Output: [1, 4, 9, 16, 25]
Using the multiprocessing Module
The multiprocessing module is ideal for CPU-bound tasks:from multiprocessing import Pool

def task(n):
    return n * n

nums = [1, 2, 3, 4, 5]
with Pool() as pool:
    results = pool.map(task, nums)
print(results)  # Output: [1, 4, 9, 16, 25]
Using joblib
The joblib library is perfect for simple parallel processing:from joblib import Parallel, delayed

def task(n):
    return n * n

nums = [1, 2, 3, 4, 5]
results = Parallel(n_jobs=-1)(delayed(task)(n) for n in nums)
print(results)  # Output: [1, 4, 9, 16, 25]
Key Points:
Use ThreadPoolExecutor for I/O-bound tasks.
Use multiprocessing or joblib for CPU-bound tasks.
Ensure your function is stateless and thread-safe for best results.
Each of these approaches lets you efficiently utilize multiple cores, reducing execution time for large datasets or complex calculations.

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Source: nareshit.com

Tags: for-loop python

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Contributed on Nov 16 2024

Adorable Aardvark

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 pythonCopyfrom joblib import Parallel, delayed
import math

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

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

Popularity 10/10 Helpfulness 3/10 Language python

Source: www.delftstack.com

Tags: loops loop

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Contributed on Aug 24 2021

Naughty Nightingale

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parallel iteration python

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foo = [1, 2, 3]
bar = [4, 5, 6]

parallel_sum = []
for f, b in zip(foo, bar):
    print(f, b)
    parallel_sum.append(f + b) 
    
print(parallel_sum)
# 1	4
# 2	5
# 3	6
# [5, 7, 9]

Popularity 10/10 Helpfulness 3/10 Language python

Source: Grepper

Tags: function functio

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Contributed on Aug 15 2022

Grotesque Gibbon

0 Answers Avg Quality 2/10

how to parallelize for loop in python

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