===== Course material =====
{{:Numpy_Scipy_Matplotlib_PyNN_NeuroTools.pdf| Presentation}}

{{:examples_numpy.pdf| NumPy examples}}, {{:examples_numpy.py| NumPy examples (source)}}

{{:examples_matplotlib.pdf| Matplotlib examples}}, {{:examples_matplotlib.py| Matplotlib examples (source)}}

{{:example_sliders.py| Slider example (source)}}


About the difference between 'import matplotlib' vs 'import pylab' see page 173 in http://matplotlib.sourceforge.net/Matplotlib.pdf . Basically, 'import pylab' includes numpy + matplotlib in a matlab-style environment.

{{:examples_scipy.pdf| SciPy examples}}, {{:examples_scipy.py| SciPy examples (source)}}

{{:examples_pynn.pdf| PyNN examples}}, {{:examples_pynn.py| PyNN examples (source)}}

{{:examples_neurotools_parameters.pdf| Neurotools.parameters examples}}, {{:examples_neurotools_parameters.py| Neurotools.parameters examples (source)}}

{{:examples_neurotools_signals.pdf| Neurotools.signals examples}}, {{:examples_neurotools_signals.py| Neurotools.signals examples (source)}}

{{:examples_neurotools_stgen.pdf| Neurotools.stgen examples}}, {{:examples_neurotools_stgen.py| Neurotools.stgen examples (source)}}

===== Exercises =====
{{:exercises_day2_numpy.pdf| NumPy exercises}}, {{:exercises_day2_numpy.py| NumPy exercises (source)}}

{{:exercises_day2_matplotlib.pdf| Matplotlib exercises}}, {{:exercises_day2_matplotlib.py| Matplotlib exercises (source)}}

{{:exercises_day2_scipy.pdf| SciPy exercises}}, {{:exercises_day2_scipy.py| SciPy exercises (source)}}
{{:experiment.txt| experiment.data}}