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Py-numeric
Jul 20, 2023
Numeric Extension to Python
The Numeric Extensions to Python give Python the number crunching power of numeric languages like Matlab and IDL while maintaining all of the advantages of the general-purpose programming language Python.
These extensions add two new object types to Python, and then include a number of extensions that take advantage of these two new objects.
- Multidimensional Array Objects
- Efficient arrays of homogeneous machine types
- Arbitrary number of dimensions
- Sophisticated structural operations
- Universal Function Objects
- Supports mathematical functions on all python objects
- Very efficient for Array Objects
- Simple interfaces to existing numerical libraries
- Linear Algebra LAPACK
- Fourier Transforms FFTPACK
- Random Numbers RANLIB
WWW http//numeric.scipy.org/ _____ Note Development for Numeric has ceased, and users should transisition to NumPy as quickly as possible.
Checkout these related ports:
- Zn_poly - C library for polynomial arithmetic
- Zimpl - Language to translate the LP models into .lp or .mps
- Zegrapher - Software for plotting mathematical objects
- Zarray - Dynamically typed N-D expression system based on xtensor
- Z3 - Z3 Theorem Prover
- Yices - SMT solver
- Yacas - Yet Another Computer Algebra System
- Xtensor - Multi-dimensional arrays with broadcasting and lazy computing
- Xtensor-python - Python bindings for xtensor
- Xtensor-io - Xtensor plugin to read/write images, audio files, numpy npz and HDF5
- Xtensor-blas - BLAS extension to xtensor
- Xspread - Spreadsheet program for X and terminals
- Xppaut - Graphical tool for solving differential equations, etc
- Xplot - X11 plotting package
- Xlife++ - XLiFE++ eXtended Library of Finite Elements in C++