#!/usr/bin/env python # coding: utf-8 #
This index contains our collection of Jupyter notebooks # for introducing and demonstrating features of QuTiP. # Going through these notebooks should be a good way to get familiarized with the software. # If you are new to scientific computing with Python, you might also find it # useful to have a look at these IPython notebook # Lectures on scientific computing with Python. #
#The following are the contents of this page:
# #These notebooks demonstrate and introduce specific functionality in QuTiP. #
# #For a more in depth discussion see: Lectures on scientific computing with Python.
# #This section requires an additional package qutip-qip.
#QobjEvo
class for optimised time-dependence A collection of more technical development notebooks, which often focus on # testing and benchmarking various features of QuTiP, is available in # the development index. #
# #