Those are lectures and demonstrations of BigData using several libraries such as pandas
, scikit-learn
,
mrjob
and ipython
.
The target audience is experienced Python developers familiar with scientific computing.
To open these notebooks in IPython, download the files to a directory on your computer and from that directory run:
$ ipython notebook
This will open a new page in your browser with a list of the available notebooks.
Use the following links:
- [Lecture-0 Introduction to QuTiP](http://nbviewer.ipython.org/urls/raw.github.com/jrjohansson/qutip-lectures/master/Lecture-0-Introduction-to-QuTiP.ipynb)
- [Lecture-1 Jaynes-Cumming model](http://nbviewer.ipython.org/urls/raw.github.com/jrjohansson/qutip-lectures/master/Lecture-1-Jaynes-Cumming-model.ipynb)
- [Lecture-2A Cavity-Qubit Gates](http://nbviewer.ipython.org/urls/raw.github.com/jrjohansson/qutip-lectures/master/Lecture-2A-Cavity-Qubit-Gates.ipynb)
- [Lecture-2B Single-Atom Lasing](http://nbviewer.ipython.org/urls/raw.github.com/jrjohansson/qutip-lectures/master/Lecture-2B-Single-Atom-Lasing.ipynb)
- [Lecture-3A Dicke model](http://nbviewer.ipython.org/urls/raw.github.com/jrjohansson/qutip-lectures/master/Lecture-3A-Dicke-model.ipynb)
- [Lecture-3B Jaynes-Cumming with ultrastrong coupling](http://nbviewer.ipython.org/urls/raw.github.com/jrjohansson/qutip-lectures/master/Lecture-3B-Jaynes-Cumming-model-with-ultrastrong-coupling.ipynb)
- [Lecture-4 Correlation Functions](http://nbviewer.ipython.org/urls/raw.github.com/jrjohansson/qutip-lectures/master/Lecture-4-Correlation-Functions.ipynb)
- [Lecture-5 Parametric Amplifier](http://nbviewer.ipython.org/urls/raw.github.com/jrjohansson/qutip-lectures/master/Lecture-5-Parametric-Amplifier.ipynb)
- [Lecture-6 Quantum Monte Carlo Trajectories](http://nbviewer.ipython.org/urls/raw.github.com/jrjohansson/qutip-lectures/master/Lecture-6-Quantum-Monte-Carlo-Trajectories.ipynb)
- [Lecture-7 iSWAP-gate](http://nbviewer.ipython.org/urls/raw.github.com/jrjohansson/qutip-lectures/master/Lecture-7-iSWAP-gate.ipynb)
- [Lecture-8 Adiabatic quantum computing](http://nbviewer.ipython.org/urls/raw.github.com/jrjohansson/qutip-lectures/master/Lecture-8-Adiabatic-quantum-computing.ipynb)
- [Lecture-9 Squeezed states of harmonic oscillator](http://nbviewer.ipython.org/urls/raw.github.com/jrjohansson/qutip-lectures/master/Lecture-9-Squeezed-states-of-harmonic-oscillator.ipynb)
- [Lecture-10 cQED in the dispersive regime](http://nbviewer.ipython.org/urls/raw.github.com/jrjohansson/qutip-lectures/master/Lecture-10-cQED-dispersive-regime.ipynb)
- [Lecture-11 Charge Qubits](http://nbviewer.ipython.org/urls/raw.github.com/jrjohansson/qutip-lectures/master/Lecture-11-Charge-Qubits.ipynb)
- [Lecture-12 Decay into a squeezed vacuum field](http://nbviewer.ipython.org/urls/raw.github.com/jrjohansson/qutip-lectures/master/Lecture-12-Decay-into-a-squeezed-vacuum-field.ipynb)
- [Lecture-14 Kerr nonlinearities](http://nbviewer.ipython.org/urls/raw.github.com/jrjohansson/qutip-lectures/master/Lecture-14-Kerr-nonlinearities.ipynb)
This tutorial is distributed under the Creative Commons Attribution 3.0 license. The Python example code and solutions to exercises are distributed under the license Simplified BSD.