
Python for Scientific Computing
PL_Python
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
SimPy: Simulating Systems in Python
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 plussesHow not to write Python code » Ikke’s blog
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.

