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Navigation: Home
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\ Other \ Numpy for Windows
Numpy for Windows1.11.2 by Jarrod Millman |
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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
Download Numpy for Windowscategories: Numerical Python, Python Component, Python Language, Python, Numerical, Component Add to Download Basket Report virus or spyware |
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Best Vista Download periodically updates pricing and software information of Numpy for Windows full version from the publisher,
but some information may be out-of-date. You should confirm all information. Software piracy is theft, using crack, warez passwords, patches, serial numbers, registration codes, key generator, keymaker or keygen for Numpy for Windows license key is illegal and prevent future development of Numpy for Windows. Download links are directly from our mirrors or publisher's website, Numpy for Windows torrent files or shared files from rapidshare, yousendit or megaupload are not allowed! |
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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 |
| Install | Instal And Uninstall |
| Add Your Review or Windows Vista Compatibility Report |
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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