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- numpy.s_ (Python data, in numpy.s_)
numpy.distutils
user guidenumpy.polynomial
- Array broadcasting in Numpy
- Array creation
- Array creation routines
- Array iterator API
- Building from source
- Building the NumPy API and reference docs
- Chebyshev Series (
numpy.polynomial.chebyshev
) - Constants of the
numpy.ma
module - Contributing to NumPy
- CPU build options
- ctypes foreign function interface (
numpy.ctypeslib
) - Data type classes (
numpy.dtypes
) - Data type promotion in NumPy
- Data types
- Extending
numpy.random
via Cython - For downstream package authors
- Hermite Series, “Physicists” (
numpy.polynomial.hermite
) - HermiteE Series, “Probabilists” (
numpy.polynomial.hermite_e
) - How to contribute to the NumPy documentation
- How to extend NumPy
- How to write a NumPy how-to
- I/O with NumPy
- Input and output
- Installing NumPy
- Internal organization of NumPy arrays
- Interoperability with NumPy
- Laguerre Series (
numpy.polynomial.laguerre
) - Legacy random generation
- Legendre Series (
numpy.polynomial.legendre
) - Lib module (
numpy.lib
) - Matrix library (
numpy.matlib
) - Memory alignment
- Memory management in NumPy
- Miscellaneous
- Miscellaneous routines
- NumPy 1.10.0 Release Notes
- NumPy 1.10.1 Release Notes
- NumPy 1.10.2 Release Notes
- NumPy 1.10.3 Release Notes