python-numeric

Not Rated
Description
This package is now deprecated, please use the python-numpy package for developing new software.

The Numeric Extensions to Python (NumPy) add powerful multi-dimensional array objects to the wonderful general purpose programming language Python. These new objects 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 (floats, longs,
complex doubles)
* Arbitrary number of dimensions
* Sophisticated structural operations
- Universal Function Objects
* Support mathematical functions on all Python objects
* Very efficient for array objects
Associated Programs
Python An interactive high-level object-oriented language (default version)
Available deb Repositories (how-to add a respository)
Debian 32-bit 64-bit
sarge 23.8-1 23.8-1
etch 24.2-7 24.2-7
lenny 24.2-9
sid 24.2-9 24.2-9

Ubuntu 32-bit 64-bit
dapper 24.2-1ubuntu2 24.2-1ubuntu2
feisty 24.2-7ubuntu1 24.2-7ubuntu1
gutsy 24.2-8 24.2-8
hardy 24.2-8ubuntu2
intrepid 24.2-9 24.2-9

Available rpm Repositories


Rating: Not Rated (0 votes)


Login or Register to rate python-numeric, add a Tag, or designate as an alternative to a Windows app



Upload Screenshots
Images must be in GIF, JPG, or PNG formats and can be no larger than 2 MB. Only one file can be uploaded at a time. A description can be included, but it is optional.
Desc:
File:
You must login or register to upload a screenshot.
Submit Web Links
Submit the title and link (including http://) to an article pertaining to python-numeric and it will appear in the Web Links section of the right banner. Contact us here if an entry needs to be removed.
Title:
Link:
You must login or register to post links.

Write a Review

  • Allowed HTML tags: <a> <em> <strong> <cite> <code> <ul> <ol> <li> <dl> <dt> <dd>
  • Lines and paragraphs break automatically.
More information about formatting options