@@ -24,22 +24,35 @@ to create it. There is some material not covered in the presentation as well.
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## What is it?
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* [ ` birdsong ` ] ( birdsong ) : illustration of signal processing with scipy, reading
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- and writing of a WAV file, computing the amplitude spectrum using FFT, applying
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- a high-pass filter.
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+ and writing of a WAV file, computing the amplitude spectrum using FFT,
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+ applying a high-pass filter.
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* [ ` boekh ` ] ( bokeh ) : illustrations of how to create plots using bokeh, including
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interactive plots.
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* [ ` hdf5 ` ] ( hdf5 ) : illustrations of how to create and access HDF5 files.
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- * [ ` image-processing ` ] ( image-processing ) : illustrations of image processing using
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- scikit-image and video processing using OpenCV.
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- * [ ` matplotlib ` ] ( matplotlib ) : illustrations of how to create plots using matplotlib.
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+ * [ ` image-processing ` ] ( image-processing ) : illustrations of image processing
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+ using scikit-image and video processing using OpenCV.
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+ * [ ` matplotlib ` ] ( matplotlib ) : illustrations of how to create plots using
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+ matplotlib.
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* [ ` matrices ` ] ( matrices ) : some numpy illustrations.
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* [ ` numpy ` ] ( numpy ) : some numpy and scipy illustrations.
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- * [ ` sympy ` ] ( sympy ) : some illustrations of doing symbolic computations using sympy.
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+ * [ ` sympy ` ] ( sympy ) : some illustrations of doing symbolic computations using
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+ sympy.
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* [ ` xarray ` ] ( xarray ) : introduction to ` xarray ` , a library for indexed, labeled
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N-dimensional arrays.
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* [ ` netcdf ` ] ( netcdf ) : sample code for reading and writing NetCDF data.
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- * [ ` vpython ` ] : illustrations of using VPython for physics and mathematics animations.
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- * [ ` cannon.ipynb ` ] : Jupyter notebook illustrating the use of numpy, scipy, sympy and
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- bokeh.
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+ * [ ` vpython ` ] : illustrations of using VPython for physics and mathematics
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+ animations.
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* [ ` manim ` ] ( manim ) : sample code for illustrating manim, a framework to create
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mathematical animations.
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+ * [ ` cannon.ipynb ` ] ( cannon.ipynb ) : Jupyter notebook illustrating the use of
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+ numpy, scipy, sympy and bokeh.
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+ * [ ` cellular_automata.ipynb ` ] ( cellular_automata.ipynb ) : Jupyter notebook
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+ illustrating the use of matplotlib.
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+ * [ ` diffusion_limited_aggregation.ipynb ` ] ( diffusion_limited_aggregation.ipynb ) :
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+ Jupyter notebook illustrating the use of numpy and matplotlib.
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+ * [ ` ising_model.ipynb ` ] ( ising_model.ipynb ) : Jupyter notebook illustrating the
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+ use of numpy and dependency injection in simulation design.
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+ * [ ` lennard_jones.ipynb ` ] ( lennard_jones.ipynb ) : Jupyter notebook illustrating
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+ the use of numpy, scipy, sympy and matplotlib.
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+ * [ ` prison_guard.ipynb ` ] ( prison_guard.ipynb ) : Jupyter notebook illustrating the
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+ use of numpy and matplotlib.
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