Version 2.5.0-1 of python3-h5py has been uploaded for both x86 and x86_64.
The h5py package is a Pythonic interface to the HDF5 binary data format.
It lets you store huge amounts of numerical data, and easily manipulate
that data from NumPy. For example, you can slice into multi-terabyte
datasets
Version 2.5.0-1 of python-h5py has been uploaded for both x86 and x86_64.
The h5py package is a Pythonic interface to the HDF5 binary data format.
It lets you store huge amounts of numerical data, and easily manipulate
that data from NumPy. For example, you can slice into multi-terabyte
datasets s
Version 2.4.0-1 of python3-h5py has been uploaded for both x86 and x86_64.
The h5py package is a Pythonic interface to the HDF5 binary data format.
It lets you store huge amounts of numerical data, and easily manipulate
that data from NumPy. For example, you can slice into multi-terabyte
datasets
Version 2.4.0-1 of python-h5py has been uploaded for both x86 and x86_64.
The h5py package is a Pythonic interface to the HDF5 binary data format.
It lets you store huge amounts of numerical data, and easily manipulate
that data from NumPy. For example, you can slice into multi-terabyte
datasets s
Version 2.3.1-1 of python3-h5py has been uploaded for both x86 and x86_64.
The h5py package is a Pythonic interface to the HDF5 binary data format.
It lets you store huge amounts of numerical data, and easily manipulate
that data from NumPy. For example, you can slice into multi-terabyte
datasets
Version 2.3.1-1 of python-h5py has been uploaded for both x86 and x86_64.
The h5py package is a Pythonic interface to the HDF5 binary data format.
It lets you store huge amounts of numerical data, and easily manipulate
that data from NumPy. For example, you can slice into multi-terabyte
datasets s
Version 2.2.1-1 of python3-h5py has been uploaded for both x86 and x86_64.
The h5py package is a Pythonic interface to the HDF5 binary data format.
It lets you store huge amounts of numerical data, and easily
manipulate that data from NumPy. For example, you can slice into
multi-terabyte datasets
Version 2.2.1-1 of python-h5py has been uploaded for both x86 and x86_64.
The h5py package is a Pythonic interface to the HDF5 binary data format.
It lets you store huge amounts of numerical data, and easily
manipulate that data from NumPy. For example, you can slice into
multi-terabyte datasets
ine once I installed the missing libquadmath0
dependency.
Is anyone else seeing this problem? Should this dependency be added
to the numpy setup.hint?
Cheers,
Chris LeBlanc
--
Problem reports: http://cygwin.com/problems.html
FAQ: http://cygwin.com/faq/
Documentation:
w working fine for this
user.
This was a pretty difficult problem to find. I'm not sure if its a
bug or a feature, I'm guessing a bug. Perhaps this workaround should
be added to the FAQ.
Cheers,
Chris
--
Chris LeBlanc
Claritas Development
GNS Science
--
Problem reports: http://cygwi
nally, I'd be happy with sleep()
being defined in unistd.h, and Sleep() defined in Windows.h, and
keeping the two separate.
Thanks again for your help,
Chris
--
Chris LeBlanc
Claritas Development
GNS Science
Lower Hutt, New Zealand
Web: www.globeclaritas.com
--
Unsubscribe info: http:
tely I need
unistd.h, windows.h, and either Xlib.h or Xwindows.h)? The fact that
Xwindows.h conflicts with unistd.h (a common scenario) suggests a bug
in Xwindows.h, unfortunately I'm not sure how to fix the problem.
Cheers,
Chris
--
Chris LeBlanc
Claritas Development
GNS Science
L
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