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Concurrency & performance

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

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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…
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