A handy, easy to use and open source toolkit that was developed as a facility for sophisticated scientific computing with Python. #Data container #Code integrator #Database integration #Container #Integrator #Integration
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).
NOTE: NumPy is licensed and distributed under the terms of an OSI-Approved Open Source License.
System requirements
What's new in NumPy 1.11.2:
- Fixes bugs and regressions found in Numpy 1.11.1 and includes several build related improvements:
- #7736 BUG: Many functions silently drop 'keepdims' kwarg.
- #7738 ENH: Add extra kwargs and update doc of many MA methods.
- #7778 DOC: Update Numpy 1.11.1 release notes.
NumPy 1.11.2
add to watchlist add to download basket send us an update REPORT- runs on:
- Mac OS X (-)
- file size:
- 4.7 MB
- filename:
- numpy-1.8.0-py2.7-python.org-macosx10.6.dmg
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