Applied Pythonology

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

Low-level image and data processing

• interpolation
  • 1D: interpolation1D.ipynb & interpolation1D.py
  • 2D: interpolation2D.py
• simple scaling and rotation: rotatioNN.py and rotation2D.py
• demosaicking (for Bayer's and X-Trans® CFAs): demosaicking.py and demosaickingX.py
• Cooley-Tukey's FFT: CooleyTukey.py
• low-light image generation: PoissonedJupiter.py and PoissoningMBA
• Monte Carlo pixel counting/area measurements: MonteCarlo.py
• denoising by DCT or wavelet thresholding: DCT.py and WaveletThresholding.py
• Duda's ANS compression coding: ans.py
• JPEG 'lite' algorithm: jpglite.py
• JPEG 2000 'featherlite' algorithm: J2K.py
• Hamming's code: HammingBird.ipynb and HammingBird.py
• cryptography: PKI RSA.py, key-exchange DHM.py, zero knowledge proof ZKP.py and elliptice curves ECC.pl
• Julia's and Mandelbrot's fractals visualisations: julia.py and mandelbrot.py

Modeling and identification

• pseudo-random number generator: pseudogenerator.py
• Tukey's potion: TukeyPotion.py
• function regression estimation with L₂ cost function and L_q constraints: regressionCVX.py
• Julia's and Mandelbrot's fractals (yes, again, but now as a nonlinear dynamic phenomena): julia.py and mandelbrot.py
• Collatz's conjecture visualization: collatz.py
• Golden Section Search: GSS.py
• Bayes' theorem: Bayes4all.ipynb and Bayes4all.py
• Monty Hall's (no-)problem: MontyHall.py

Computer graphics

• Polar squares and scary circles: PolarAndPolygon.py
• Bézier curves: deBézier.py and rationalBézier.py
• Bresenham's line bresenhamLine.py and circle: bresenhamCircle.py
• CGAL in action: wedge.scad