Applied Pythonology

Basic image & graphics processing (a.k.a. 'machine learning' and 'machine vision') algorithms

interpolation
- 1D: interpolation1D.ipynb & interpolation1D.py
- 2D: interpolation2D.ipynb & interpolation2D.py
simple 2D scaling and rotation
- NN: rotatioNN.ipynb & rotatioNN.py
- spline: rotation2D.ipynb & rotation2D.py
demosaicking CFAs
- Bayer's: demosaicking.py
- and X-Trans®: demosaickingX.py
Cooley-Tukey's FFT: CooleyTukey.py
low-light image generation: PoissonedJupiter.py and PoissoningMBA
Poisson to Gauss (Anscombe) transform: Anscombe.ipynb and Anscombe.py
denoising by DCT or wavelet thresholding: DCT.py and WaveletThresholding.py
Monte Carlo pixel counting/area measurements: MonteCarlo.py
Duda's ANS compression coding: ans.ipynb & ans.py
JPEG 'lite' algorithm: jpglite.py
JPEG 2000 'featherlite' algorithm: jp2lite.py and J2K.py
Haar multiresolution analysis (MRA): WaveletMRA.py
Hamming's code: HammingBird.py
jigsaw pieces of cryptography:
- PKI RSA.py,
- key-exchange DHM.py,
- zero knowledge proof ZKP.ipynb & ZKP.py and
- elliptic curves ECC.pl

pseudo-random number generator: pseudogenerator.py
Tukey's potion (sans Cooley): TukeyPotion.py
function regression estimation with $L_2$ cost function and $L_q$ constraints: regressionCVX.py
Kiefer's Golden Section Search: GSS.py
Monty Hall's (no-)problem: MontyHall.py

Gauss Circle problem: latticeCircle.ipynb and latticeCircle.py
polar squares and scary circles: PolarAndPolygon.py
Bresenham's algorithms:
- line bresenhamLine.py and
- circle: bresenhamCircle.py
Bézier's
- curves: deBézier1D.py and deBézieRat1D.py (rational)
- surfaces: deBézier2D.py
matrix transformations in 2D: MatrixTransforms2D.ipynb and MatrixTransforms2D.py
a little CGAL in action:
- wedge.scad and
- szpunt.scad
Julia's and Mandelbrot's fractals visualisations:
- julia.py and
- mandelbrot.py