This page contains our collection of Jupyter (formerly IPython) 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.
QobjEvoclass for optimised time-dependence
These lecture-style notebooks focus on particular quantum mechanics topics and analyze them numerically using QuTiP (some more detailed than others).
A collection of more technical development notebooks, which often focus on testing and benchmarking various features of QuTiP, is available here.