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Concurrency & performance

asyncio, threading, multiprocessing, and profiling-friendly performance patterns.

3 matches

How to Speed Up Data Filtering with Python ThreadPoolExecutor

This code compares sequential filtering of even numbers with a threaded version using ThreadPoolExecutor, showing a measurable speedup for I/O-bound work.

threadpoolexecutor concurrency filtering

Python

import time
from concurrent.futures import ThreadPoolExecutor
import random


def is_even(number):
    time.sleep(0.001)  # simulate work
    return number % 2 == 0


def filter_even_sequential(numbers):
    return [n for n in numbers if is_even(n)]


def filter_even_threaded(numbers):
    with ThreadPoolExecutor(max_…

14 0 Open

Concurrency & performance easy

How to Use Array Typecodes for Compact Numeric Storage in Python

This code demonstrates how to use the `array` module with typecodes to store integers, floats, and bytes in a memory-efficient way compared to standard Python lists.

array memory performance

Python

from array import array

def demonstrate_array_types():
    # Compact integer arrays
    small_ints = array('i', [1, 2, 3, 4, 5])
    unsigned_ints = array('I', [10, 20, 30])
    
    # Floating point arrays
    floats = array('f', [1.5, 2.5, 3.5])
    doubles = array('d', [1.123456789, 2.987654321])
    
    # Charac…

15 0 Open

Concurrency & performance easy

How to Validate Data with ThreadPoolExecutor in Python

This code shows how to validate a list of numbers concurrently using ThreadPoolExecutor, dramatically speeding up slow validation tasks by running them in parallel threads.

concurrency threadpool validation

Python

import time
from concurrent.futures import ThreadPoolExecutor
from dataclasses import dataclass


@dataclass
class Result:
    is_valid: bool
    value: int


def validate(value: int) -> Result:
    time.sleep(0.1)  # simulate slow validation (API call, DB check)
    return Result(is_valid=0 < value < 100, value=value…

13 0 Open

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