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Navigation: Home \ Development \ Other \ Numpy for Windows

Numpy for Windows

 1.11.2   by Jarrod Millman

Vista Compatible
Software Description:
NumPy is the fundamental package needed for scientific computing with Python. It contains among other things:
* a powerful N-dimensional array object
* sophisticated (broadcasting) functions
* tools for integrating C/C++ and Fortran code
* useful linear algebra, Fourier transform, and random number capabilities.
type: Open Source
categories: Numerical Python, Python Component, Python Language, Python, Numerical, Component
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Released: October 04, 2016
Filesize: 4.70 MB
Platform: Windows 2000, Windows 2003, Windows XP, Windows Vista, Windows Vista x64, Windows 7, Windows 7 x64, Windows 8, Windows 8 x64, Windows 10, Windows 10 x64
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Numpy for Windows

- Releases History
Software: Numpy for Windows 1.11.2
Date Released: Oct 4, 2016
Status: New Release
Release Notes: Numpy 1.11.2 supports Python 2.6 - 2.7 and 3.2 - 3.5. It fixes bugs and regressions found in Numpy 1.11.1 and includes several build related improvements. Wheels for Linux, Windows, and OS X can be found on PyPI.
Software: Numpy for Windows 1.6.2
Date Released: Aug 25, 2012
Status: New Release
Release Notes: New features:
· Reduction UFuncs Generalize axis= Parameter
· Any ufunc.reduce function call, as well as other reductions like sum, prod, any, all, max and min support the ability to choose a subset of the axes to reduce over. Previously, one could say axis=None to mean all the axes or axis=# to pick a single axis. Now, one can also say axis=(#,#) to pick a list of axes for reduction.

Reduction UFuncs New keepdims= Parameter :
· There is a new keepdims= parameter, which if set to True, doesn't throw away the reduction axes but instead sets them to have size one. When this option is set, the reduction result will broadcast correctly to the original operand which was reduced.

Datetime support:
.. note:: The datetime API is *experimental* in 1.7.0, and may undergo changes in future versions of NumPy. There have been a lot of fixes and enhancements to datetime64 compared to NumPy 1.6:
· the parser is quite strict about only accepting ISO 8601 dates, with a few convenience extensions
Software: Numpy for Windows 1.6.1
Date Released: Jul 21, 2011
Status: New Release
Release Notes: · BUG: Fix regression in printing polynomials.
· BUG: defer numpy.distutils import in ctypeslib.


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