NumPy Tags

NumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.

Array objects

• The N-dimensional array (ndarray)
• Scalars
• Data type objects (dtype)
• Indexing
• Iterating Over Arrays
• Standard array subclasses
• Masked arrays
• The Array Interface
• Datetimes and Timedeltas

Constants

Universal functions (ufunc)

• Broadcasting
• Output type determination
• Use of internal buffers
• Error handling
• Casting Rules
• Overriding Ufunc behavior
• ufunc
• Available ufuncs

Routines

• Array creation routines
• Array manipulation routines
• Binary operations
• String operations
• C-Types Foreign Function Interface (numpy.ctypeslib)
• Datetime Support Functions
• Data type routines
• Optionally Scipy-accelerated routines (numpy.dual)
• Mathematical functions with automatic domain (numpy.emath)
• Floating point error handling
• Discrete Fourier Transform (numpy.fft)
• Financial functions
• Functional programming
• NumPy-specific help functions
• Indexing routines
• Input and output
• Linear algebra (numpy.linalg)
• Logic functions
• Masked array operations
• Mathematical functions
• Matrix library (numpy.matlib)
• Miscellaneous routines
• Padding Arrays
• Polynomials
• Random sampling (numpy.random)
• Set routines
• Sorting, searching, and counting
• Statistics
• Test Support (numpy.testing)
• Window functions

Packaging (numpy.distutils)

• Modules in numpy.distutils
• Building Installable C libraries
• Conversion of .src files

NumPy Distutils - Users Guide

• SciPy structure
• Requirements for SciPy packages
• The setup.py file
• The init.py file
• Extra features in NumPy Distutils

NumPy C-API

• Python Types and C-Structures
• System configuration
• Data Type API
• Array API
• Array Iterator API
• UFunc API
• Generalized Universal Function API
• NumPy core libraries
• C API Deprecations

NumPy internals

• NumPy C Code Explanations
• Memory Alignment
• Internal organization of numpy arrays
• Multidimensional Array Indexing Order Issues

NumPy and SWIG

• numpy.i: a SWIG Interface File for NumPy
• Testing the numpy.i Typemaps