[pypy-issue] Issue #2680: Slow speed going from numpy data structure to Python data structures (pypy/pypy)

[Eric Ma]

New issue 2680: Slow speed going from numpy data structure to Python data structures
https://bitbucket.org/pypy/pypy/issues/2680/slow-speed-going-from-numpy-data-structure

Eric Ma:

When comparing the use of PyPy to CPython, I saw that there was a big difference on the following task:

```python
from numpy.random import binomial
from time import time
from collections import Counter

start = time()
coinflips = binomial(n=1, p=0.3, size=int(1E7))
end = time()
print('Time for numpy coinflips: {} seconds'.format(end - start))

print(Counter(coinflips))
end = time()

print('{} seconds'.format(end - start))
```

I wrote a blog post comparing things, and can be found [here](https://ericmjl.github.io/blog/2017/10/11/pypy-impressive/) ([backup website](https://ericmjl.github.io/blog/2017/10/11/pypy-impressive/)).