Python for Scientific Computing
Pythonista - omz:software Pythonista brings the Zen of Python™ to your iPad or iPhone. Create interactive experiments and prototypes using multi-touch, animations, and sound – or just use the interactive prompt as a powerful calculator. Pythonista is also a great tool for learning Python – The interactive prompt helps you explore the language with code completion, the entire documentation is accessible right within the app and you can get started with lots of ready-to-run examples.
PyDDE: Python/C DDE solver PyDDE is an open source numerical solver for systems of delay differential equations (DDEs), implemented as a Python package and written in both Python and C. PyDDE is built around the back-end of ddesolve (now called PBSddesolve), an R package with the same functionality, which in turn is built on the numerical routines of Simon Wood's Solv95 , a C-based DDE solver for Microsoft Windows systems. There is now also a Mac port for Solv95, with Cocoa frontend by Ashley Buckner.
PyDSTool is a sophisticated & integrated simulation and analysis environment for dynamical systems models of physical systems (ODEs, DAEs, maps, and hybrid systems). PyDSTool
Complex Networks 14 Mar 2013 23:52
SimPy: Simulating Systems in Python <a href="http://adserver.adtechus.com/adlink/3.0/5159/425846/0/16/ADTECH;loc=300;key=key1+key2+key3+key4;grp=[group]" target="_blank"><img src="http://adserver.adtechus.com/adserv/3.0/5159/425846/0/16/ADTECH;loc=300;key=key1+key2+key3+key4;grp=[group]" border="0" width="1" height="1"></a> by Klaus Müller and Tony Vignaux 02/27/2003 Simulating complex real-world systems is now possible with SimPy , an open source simulation package.
Epigrass: a tool to study disease spread in complex networks.
Array creation — NumPy v1.6 Manual Introduction
pyplot — Matplotlib v1.0.1 documentation Plot lines and/or markers to the Axes . args is a variable length argument, allowing for multiple x , y pairs with an optional format string. For example, each of the following is legal: plot ( x , y ) # plot x and y using default line style and color plot ( x , y , 'bo' ) # plot x and y using blue circle markers plot ( y ) # plot y using x as index array 0..N-1 plot ( y , 'r+' ) # ditto, but with red plusses
Lately I’ve been reading some rather unclean Python code.
MATLAB® and NumPy/SciPy have a lot in common. But there are many differences. NumPy and SciPy were created to do numerical and scientific computing in the most natural way with Python, not to be MATLAB® clones. NumPy for Matlab Users -