There is a beautiful recursive formula which enables an extremely simple calculation of $p(n)$ given you have already calculated all the previous values. It gives $p(n)=190569292$ in our case.
The idea is to take the generating function of $p(n)$ and use a clever trick to display it as a rational function; the denominator of rational generating functions always gives a recursive formula for the sequence the generating function encodes. You can see it in Wikipedia's page about Euler's Pentagonal number theorem.
Here is the basic idea, equation wise:
The generating fucntion: $\sum_{n=0}^{\infty}p\left(n\right)x^{n}=\prod_{n=1}^{\infty}\frac{1}{\left(1-x^{n}\right)}$
Euler's Pentagonal theorem: $\prod_{n=1}^{\infty}\left(1-x^{n}\right)=\sum_{k=-\infty}^{\infty}\left(-1\right)^{k}x^{k\left(3k-1\right)/2}$
Combine to get the recurrence relation
$p\left(n\right)=p\left(n-1\right)+p\left(n-2\right)-p\left(n-5\right)-p\left(n-7\right)+p\left(n-12\right)+p\left(n-15\right)+\dots$
Where the $1,2,5,7,12,15\dots$ sequence is generated by the formula $\frac{k\left(3k-1\right)}{2}$ when you plugin nonzero integers (also negative numbers) for $k$ and you subtract instead of adding elements for $k$ even (e.g. 5 is generated from $k=2$ and the sum has $-p(n-5)$ instead of $+p(n-5)$).
Here's a simple Python code for computing all $p(n)$ up to a certain goal, based on the recurrence relation:
def pentagonal_number(k):
return int(k*(3*k-1) / 2)
def compute_partitions(goal):
partitions = [1]
for n in range(1,goal+1):
partitions.append(0)
for k in range(1,n+1):
coeff = (-1)**(k+1)
for t in [pentagonal_number(k), pentagonal_number(-k)]:
if (n-t) >= 0:
partitions[n] = partitions[n] + coeff*partitions[n-t]
return partitions