NumPyPy, RCOS - February, 2012

Transcript

1. Hi.
2. NumPy PyPy NumPyPy Fortran
3. A tale of two Pythons
4. First, there was CPython. And it was OK.
5. And then there was PyPy. And it was pretty good.
6. And scientists thought it was pretty good. But there was also NumPy
7. And they thought it was swell. So the developers crafted NumPyPy.
8. Wat? But there was also Fortran.
9. More than programmers. Scientists like Fortran.
10. And that brings us to this semester.
11. ctypes
12. MORE FORTRAN
14. >>> import numpypy >>> class X(numpypy.ndarray): ... pass ... >>> numpypy.ndarray(10) array([ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.]) >>> X(10) array([ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.]) >>> type(X(10)) <type 'numpypy.ndarray'>
15. הבר הדות Danke schön Muchas Gracias Questions? Thank you!