Whats new in version 1.8:
- Issues fixed:
- gh-4276: Fix mean, var, std methods for object arrays
- gh-4262: remove insecure mktemp usage
- gh-2385: absolute(complex(inf)) raises invalid warning in python3
- gh-4024: Sequence assignment doesn\'t raise exception on shape mismatch
- gh-4027: Fix chunked reading of strings longer than BUFFERSIZE
- gh-4109: Fix object scalar return type of 0-d array indices
- gh-4018: fix missing check for memory allocation failure in ufuncs
- gh-4156: high order linalg.norm discards imaginary elements of complex arrays
- gh-4144: linalg: norm fails on longdouble, signed int
- gh-4094: fix NaT handling in _strided_to_strided_string_to_datetime
- gh-4051: fix uninitialized use in _strided_to_strided_string_to_datetime
- gh-4093: Loading compressed .npz file fails under Python 2.6.6
- gh-4138: segfault with non-native endian memoryview in python 3.4
- gh-4123: Fix missing NULL check in lexsort
- gh-4170: fix native-only long long check in memoryviews
- gh-4187: Fix large file support on 32 bit
- gh-4152: fromfile: ens...
Publisher review:NumPy adds a fast and sophisticated array facility to the Python language and is the fundamental package needed for scientific computing with Python.
The NumPy package contains:
· a powerful N-dimensional array object
· sophisticated (broadcasting) functions
· basic linear algebra functions
· basic Fourier transforms
· sophisticated random number capabilities
· tools for integrating Fortran code.
· tools for integrating C/C++ code.
Users of num array can also transition their code using the numpy.numarray compatibility layer and a similar module (numpy.numarray.alter_code1).
Operating system:Mac OS X 10.3 or later
NumPy 1.8 details 
