I suggest Walter to don't try to say that D2 is "better" than Python, it's a
waste of time and it means nothing.
Walter Bright:
>can you do Bill Baxter's swizzler? Can you do Don Clugston's FPU code
>generator?<
Python is more more flexible. See the __getattr__ standard method:
class Reg4(object):
ORDER = dict((c,i) for i,c in enumerate("wxyz"))
def __init__(self, data=None):
self.data = [None] * 4
if data:
for i, item in enumerate(data):
self.data[i] = item
def __getattr__(self, attr):
assert sorted(list(attr)) == ['w', 'x', 'y', 'z']
self.data[:] = (self.data[Reg4.ORDER[c]] for c in attr)
r = Reg4("ABCD")
print r.data
r.xyzw
print r.data
Output:
['A', 'B', 'C', 'D']
['B', 'C', 'D', 'A']
If you want the r.xyzw() syntax, that too can be done, creating new methods on
the fly.
In Python there's also the __getattribute__ that's a little more powerful than
__getattr__:
http://pyref.infogami.com/__getattribute__
>That doesn't help if you really need to do a little assembler.<
That Reg4() class can actually use true SSE registers, generating and running
very efficient asm computational kernels using corepy:
http://www.corepy.org/
And you can also use GPUs with PyCuda and PyOpenCL in Python:
http://mathema.tician.de/software/pycuda
http://python-opencl.next-touch.com/
With Python + CorePy today you can write heavy numerical code that's faster
than all D code.
Bye,
bearophile
