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- numpy.generic.T
- numpy.generic (Python class, in Scalars)
- numpy.generic.T (Python attribute, in numpy.generic.T)
numpy.distutilsuser guide- Advanced F2PY use cases
- Array API
- Array creation
- Array iterator API
- Bit generators
- Boilerplate reduction and templating
- Broadcasting
- Building from source
- Building the NumPy API and reference docs
- Byte-swapping
- Chebyshev Series (
numpy.polynomial.chebyshev) - Contributing to NumPy
- CPU build options
- Data type classes (
numpy.dtypes) - Data type promotion in NumPy
- Data types
- Discrete Fourier Transform (
numpy.fft) - Exceptions and Warnings (
numpy.exceptions) - Generalized universal function API
- Hermite Series, “Physicists” (
numpy.polynomial.hermite) - HermiteE Series, “Probabilists” (
numpy.polynomial.hermite_e) - How does the CPU dispatcher work?
- How to contribute to the NumPy documentation
- How to extend NumPy
- How to write a NumPy how-to
- Internal organization of NumPy arrays
- Interoperability with NumPy
- Laguerre Series (
numpy.polynomial.laguerre) - Legacy random generation
- Legendre Series (
numpy.polynomial.legendre) - Linear algebra (
numpy.linalg) - Memory alignment
- Mersenne Twister (MT19937)
- Miscellaneous
- Multithreaded generation
- NumPy 1.10.0 Release Notes
- NumPy 1.10.1 Release Notes
- NumPy 1.10.2 Release Notes
- NumPy 1.10.4 Release Notes
- NumPy 1.11.0 Release Notes
- NumPy 1.11.1 Release Notes
- NumPy 1.11.2 Release Notes
- NumPy 1.12.0 Release Notes