@@ -24,22 +24,35 @@ to create it. There is some material not covered in the presentation as well.
2424
2525## What is it?
2626* [ ` birdsong ` ] ( birdsong ) : illustration of signal processing with scipy, reading
27- and writing of a WAV file, computing the amplitude spectrum using FFT, applying
28- a high-pass filter.
27+ and writing of a WAV file, computing the amplitude spectrum using FFT,
28+ applying a high-pass filter.
2929* [ ` boekh ` ] ( bokeh ) : illustrations of how to create plots using bokeh, including
3030 interactive plots.
3131* [ ` hdf5 ` ] ( hdf5 ) : illustrations of how to create and access HDF5 files.
32- * [ ` image-processing ` ] ( image-processing ) : illustrations of image processing using
33- scikit-image and video processing using OpenCV.
34- * [ ` matplotlib ` ] ( matplotlib ) : illustrations of how to create plots using matplotlib.
32+ * [ ` image-processing ` ] ( image-processing ) : illustrations of image processing
33+ using scikit-image and video processing using OpenCV.
34+ * [ ` matplotlib ` ] ( matplotlib ) : illustrations of how to create plots using
35+ matplotlib.
3536* [ ` matrices ` ] ( matrices ) : some numpy illustrations.
3637* [ ` numpy ` ] ( numpy ) : some numpy and scipy illustrations.
37- * [ ` sympy ` ] ( sympy ) : some illustrations of doing symbolic computations using sympy.
38+ * [ ` sympy ` ] ( sympy ) : some illustrations of doing symbolic computations using
39+ sympy.
3840* [ ` xarray ` ] ( xarray ) : introduction to ` xarray ` , a library for indexed, labeled
3941 N-dimensional arrays.
4042* [ ` netcdf ` ] ( netcdf ) : sample code for reading and writing NetCDF data.
41- * [ ` vpython ` ] : illustrations of using VPython for physics and mathematics animations.
42- * [ ` cannon.ipynb ` ] : Jupyter notebook illustrating the use of numpy, scipy, sympy and
43- bokeh.
43+ * [ ` vpython ` ] : illustrations of using VPython for physics and mathematics
44+ animations.
4445* [ ` manim ` ] ( manim ) : sample code for illustrating manim, a framework to create
4546 mathematical animations.
47+ * [ ` cannon.ipynb ` ] ( cannon.ipynb ) : Jupyter notebook illustrating the use of
48+ numpy, scipy, sympy and bokeh.
49+ * [ ` cellular_automata.ipynb ` ] ( cellular_automata.ipynb ) : Jupyter notebook
50+ illustrating the use of matplotlib.
51+ * [ ` diffusion_limited_aggregation.ipynb ` ] ( diffusion_limited_aggregation.ipynb ) :
52+ Jupyter notebook illustrating the use of numpy and matplotlib.
53+ * [ ` ising_model.ipynb ` ] ( ising_model.ipynb ) : Jupyter notebook illustrating the
54+ use of numpy and dependency injection in simulation design.
55+ * [ ` lennard_jones.ipynb ` ] ( lennard_jones.ipynb ) : Jupyter notebook illustrating
56+ the use of numpy, scipy, sympy and matplotlib.
57+ * [ ` prison_guard.ipynb ` ] ( prison_guard.ipynb ) : Jupyter notebook illustrating the
58+ use of numpy and matplotlib.
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