Hi Francesc,
On Thu, 2009-12-31 at 13:17 +0100, Francesc Alted wrote:
> Hi David,
>
> Yes, this is mostly a Python issue in 32-bit platforms. Look at this:
>
> >>> import array # The native array Python module
> >>> b = array.array('i')
> >>> b.append(1)
> >>> b.append(1L)
> >>> b.append(2**32
Hi David,
Yes, this is mostly a Python issue in 32-bit platforms. Look at this:
>>> import array # The native array Python module
>>> b = array.array('i')
>>> b.append(1)
>>> b.append(1L)
>>> b.append(2**32-999)
Traceback (most recent call last):
File "", line 1, in ?
OverflowError: long int
Hi list,
PyTables 2.1.2 with HDF5 1.6.6 and both NumPy 1.3.0 and 1.4.0 on 32-bit
vs
PyTables 2.1.2 with HDF5 1.8.3 and NumPy 1.4.0rc1 on 64-bit
I have lots of clients interpreting detector data and sending pickled
objects over http to a server, which uses PyTables to store it (yes, I'm
very happy
