NumPy Tags
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