Jafar Anafi

A Python Environment for Numerical Continuation Methods

Developing computer models is a natural part of scientific computing. These models typically combine components of mature scientific software of varying levels of complexity. Using low-level software libraries leads to a better performance when running the computer model, but slows down and distracts from model development because of the need to deal with software related technical details. High-level interactive programming environments such as Python simplify and speed up the development of computer models but the speed of the numerical solution of the model may be unacceptable for many research problems. One way to solve such problems is to write Software wrappers and make classical low-level sources available in a Python environment.