class MyClass:
    def __init__(self, value):
        self.value = value

a, b = MyClass(1), MyClass(1)
print(a == b)  # False

class MyClass:
    def __init__(self, value):
        self.value = value
        
    def __eq__(self, other):
        if isinstance(other, MyClass):
            return self.value == other.value
        return False

a, b = MyClass(1), MyClass(1)
print(a == b)  # True

from numba import jit
import numpy as np
import time

@jit(nopython=True)
def sum_squares(arr):
    total = 0
    for i in range(arr.shape[0]):
        total += arr[i] * arr[i]
    return total

data = np.arange(1000000)
start = time.time()
result = sum_squares(data)
end = time.time()
print("Numba JIT:", result, "Time:", end - start)

import multiprocessing as mp

def process_image(image):
    return image ** 2

if __name__ == '__main__':
    images = range(20)
    with mp.Pool(mp.cpu_count()) as pool:
        results = pool.map(process_image, images)
    print(results)

import numpy as np
data = np.arange(1000000)
result = data * 2

import cProfile

def heavy_computation():
    return sum([i * i for i in range(1000000)])

cProfile.run('heavy_computation()')

if not mylist:

if len(mylist) == 0:

import hashlib
import cProfile

cProfile.run('hashlib.md5("abcdefghiijkl").digest()')

Ordered by: standard name
ncalls  tottime  percall  cumtime  percall filename:lineno(function)

     1    0.000    0.000    0.000    0.000 <string>:1(<module>)
     1    0.000    0.000    0.000    0.000 {hashlib._md5}
     1    0.000    0.000    0.000    0.000 {method 'digest' of '_hashlib.HASH' objects}
     1    0.000    0.000    0.000    0.000 {method 'disable' of '_lsprof.Profiler' objects}