A faster solution for Project Euler question 10

I have solved the question 10 regarding sum of all primes under 2 million, however my code takes over a few minutes to calculate the result.

I was just wondering if there is any way to optimise it to make it run faster ?

The code takes an upper limit
Generates an array
Iterates through it and removes multiples of a number, replacing it with 0
Takes that filtered array and loops through the next non zero number
Increases this number till it is sqrt of the limit.
Prints out what is left.

import numpy as np


def sievePrime(n):
    array = np.arange(2, n)

    tempSieve = [2]

    for value in range(2, int(np.floor(np.sqrt(n)))):
        if tempSieve[value - 2] != value:
            continue
        else:
            for x in range(len(array)):
                if array[x] % value == 0 and array[x] != value:
                    array[x] = 0
                    tempSieve = array

    return sum(array)


print(sievePrime(2000000))

Thank you for your time.

source https://stackoverflow.com/questions/74603473/a-faster-solution-for-project-euler-question-10

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