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NumPy
=====

Provides
  1. An array object of arbitrary homogeneous items
  2. Fast mathematical operations over arrays
  3. Linear Algebra, Fourier Transforms, Random Number Generation

How to use the documentation
----------------------------(more...)

src/p/y/Pylon-0.4.4/examples/pyreto/rlopf.py   Pylon(Download)

src/p/y/pylon-HEAD/examples/pyreto/rlopf.py   pylon(Download)

src/p/y/PyAstronomy-HEAD/src/funcFit/TutorialExampleSanity.py   PyAstronomy(Download)

src/s/t/statsmodels-0.5.0/statsmodels/sandbox/examples/example_crossval.py   statsmodels(Download)

src/s/t/statsmodels-HEAD/statsmodels/sandbox/examples/example_crossval.py   statsmodels(Download)

src/m/a/matplotlib-1.3.1/examples/axes_grid/inset_locator_demo2.py   matplotlib(Download)

src/m/a/matplotlib-HEAD/examples/axes_grid/inset_locator_demo2.py   matplotlib(Download)

src/m/a/matplotlib-ancient-HEAD/examples/axes_grid/inset_locator_demo2.py   matplotlib-ancient(Download)

src/b/o/bokeh-0.4.4/examples/plotting/server/server_source_upload.py   bokeh(Download)

src/a/l/algopy-0.5.1/documentation/sphinx/examples/hessian_of_potential_function.py   algopy(Download)

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