Quickly determine if a number is prime in Python for numbers < 1 billion

Question

My current algorithm to check the primality of numbers in python is way to slow for numbers between 10 million and 1 billion. I want it to be improved knowing that I will never get numbers bigger than 1 billion.

The context is that I can't get an implementation that is quick enough for solving problem 60 of project Euler: I'm getting the answer to the problem in 75 seconds where I need it in 60 seconds. http://projecteuler.net/index.php?section=problems&id=60

I have very few memory at my disposal so I can't store all the prime numbers below 1 billion.

I'm currently using the standard trial division tuned with 6k±1. Is there anything better than this? Do I already need to get the Rabin-Miller method for numbers that are this large.

primes_under_100 = [2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, 37, 41, 43, 47, 53, 59, 61, 67, 71, 73, 79, 83, 89, 97]
def isprime(n):
    if n <= 100:
        return n in primes_under_100
    if n % 2 == 0 or n % 3 == 0:
        return False

    for f in range(5, int(n ** .5), 6):
        if n % f == 0 or n % (f + 2) == 0:
            return False
    return True

How can I improve this algorithm?

Precision: I'm new to python and would like to work with python 3+ only.

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Final code

For those who are interested, using MAK's ideas, I generated the following code which is about 1/3 quicker, allowing me to get the result of the euler problem in less than 60 seconds!

from bisect import bisect_left
# sqrt(1000000000) = 31622
__primes = sieve(31622)
def is_prime(n):
    # if prime is already in the list, just pick it
    if n <= 31622:
        i = bisect_left(__primes, n)
        return i != len(__primes) and __primes[i] == n
    # Divide by each known prime
    limit = int(n ** .5)
    for p in __primes:
        if p > limit: return True
        if n % p == 0: return False
    # fall back on trial division if n > 1 billion
    for f in range(31627, limit, 6): # 31627 is the next prime
        if n % f == 0 or n % (f + 4) == 0:
            return False
    return True

Answer 1

For solving Project Euler problems I did what you suggest in your question: Implement the Miller Rabin test (in C# but I suspect it will be fast in Python too). The algorithm is not that difficult. For numbers below 4,759,123,141 it is enough to check that a number is a strong pseudo prime to the bases 2, 7, 61. Combine that with trial division by small primes.

I do not know how many of the problems you have solved so far, but having a fast primality test at your disposal will be of great value for a lot of the problems.