When studying aspects of the World Wide Web (hereinafter "Web") using network analysis tools and techniques, building networks for analysis can be tedious, time-consuming, and error-prone. The UrlNet library, written in the Python scripting language, is intended to provide a powerful, flexible, easy to use mechanism for generating such networks.
Fast Artificial Neural Network Library is a free open source neural network library, which implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks. Cross-platform execution
One thing I really love with the Python programming language is its incredible extensibility. Here’s a list of 50 awesome modules for Python, covering almost all needs: Databases, GUIs, Images, Sound, OS interaction, Web, and more.
This library provides Python functions for agglomerative clustering. Its features include * generating hierarchical clusters from distance matrices * computing distance matrices from observation vectors * computing statistics on clusters *
SciPy (pronounced "Sigh Pie") is open-source software for mathematics, science, and engineering. It is also the name of a very popular conference on scientific programming with Python. The SciPy library depends on NumPy, which provides convenient and fast
W. Lavrijsen, and A. Dutta. Proceedings of the 6th Workshop on Python for High-Performance and Scientific Computing, page 27--35. Piscataway, NJ, USA, IEEE Press, (2016)