I didn't know that the X in XOR stands for exclusive so after getting that I thought that description part can be improved

Re-running a cell generating random numbers in jupyter doesn't give the same result when seed is set. But it helps when saying "Kernel Restart & Run All" then the random numbers stay the same

I know that the project has "python" in it's name but I really liked the example in spite of my  tend to preference of julia. This is just a bare-bones copy without the comments or any attempt to optimize. In spite of this it runs over twice as fast as the python version on my machine. I don't know how fair the comparison is. There is one small difference... I did not seed the random number generator... just out of laziness.

julia version for those who wish to have it. From TravisA9

XOR linked to wikipedia XOR page

In keeping this as much like the original example as possible I went ahead and seeded the rand function. On the other hand, I used randn (normalised) instead since that is something that's built in in julia. I also took code out of global scope since that is highly discouraged in julia due to the speed penalty imposed.

Pollish code

small text improvement