SciPy 0.14.0 / 0.15.0 RC1
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What's new in SciPy 0.13.2:
- Issues fixed:
- 3096: require Cython 0.19, earlier versions have memory leaks in fused types
- 3079: ndimage.label fix swapped 64-bitness test
- 3108: optimize.fmin_slsqp constraint violation
- LICENSE TYPE:
- BSD License
- OUR RATING:
- DEVELOPED BY:
- SciPy Team
- USER RATING:
- ROOT \ Science
It is part of a huge project that provides several Python libraries heavily used on today’s apps, such as NumPy, a base N-dimensional array library, Sympy, a library for symbolic mathematics, Matplotlib, a comprehensive 2D plotting library, IPython, an enhanced interactive console, the nose framework for testing Python code, as well as the pandas library for data structures and analysis.
Includes a wide variety of modules and offers efficient numerical routines
SciPy includes modules for statistics, optimization, integration, Fourier transforms, linear algebra, signal and image processing, genetic algorithms, ODE solvers, etc. It also provides numerous efficient and user-friendly numerical routines, such as routines for numerical optimization and integration.
Getting started with SciPy
To install and use the SciPy library on your GNU/Linux operating system, you will have to download the latest version of the program from the official homepage of the project or via Softpedia, where it is distributed as a source tarball.
Save the package on your computer, unpack it, open the Terminal app, navigate to the location of the extracted archive files (e.g. cd /home/softpedia/scipy-0.14.0), and run the ‘sudo python setup.py install’ command. All the files will be installed system wide and you can use them on your Python apps. Comprehensive documentation can be found on the project’s website.
Under the hood and supported operating systems
SciPy is a platform-independent application written entirely in the Python programming language. It has been successfully tested on a wide range of GNU/Linux distributions, but it is also compatible with the FreeBSD operating system. Being written in Python, it might be easily ported to the Microsoft Windows and Mac OS X operating systems.
SciPy was reviewed by Marius Nestor, last updated on December 16th, 2014