Clone this repo:
  1. ef2cfe1 Merge pull request #9013 from eric-wieser/fix-nanfuncs by Charles Harris · 5 hours ago master
  2. e875230 Merge pull request #9015 from charris/polynomial-ufunc-optout by Nathaniel J. Smith · 6 hours ago
  3. a77709c BUG: Fix incorrect behavior of nanfunctions on object arrays by Eric Wieser · 7 hours ago
  4. 21b14aa DOC: Document that the polynomial classes now opt out of ufuncs. by Charles Harris · 30 hours ago
  5. c7f7199 ENH: Use `__array_ufunc__ = None` in polynomial convenience classes. by Charles Harris · 30 hours ago

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NumPy is the fundamental package needed for scientific computing with Python. This package contains:

  • 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.

It derives from the old Numeric code base and can be used as a replacement for Numeric. It also adds the features introduced by numarray and can be used to replace numarray.

More information can be found at the website:

After installation, tests can be run (if nose is installed) with:

python -c 'import numpy; numpy.test()'

The most current development version is always available from our git repository: