#NumPy

x>0 breaks the symmetry of the eigenvalues distribution. Made with #python, #matplotlib and #numpy.

💥 Here is an amazing cheatsheet for NumPy! source: DataQuest #NumPy #CheatSheet #DataScience

Eigenvalues of random matrices Made with #python #numpy #matplotlib and #marimo

Another one! Made with #python #numpy #matplotlib and #marimo (and also #wigglystuff)

A nice 3D attractor. Made with #python #numpy #pygfx

Made with #python #numpy #matplotlib

Python libraries for ML #python #numpy #pandas #PyTorch #scipy #TensorFlow #datascience #machinelearning #deeplearning #ai #artificialintelligence #programming #developer #softwaredeveloper #computerscience

This #Python cheat sheet is a handy reference with code samples for doing linear algebra with #SciPy and interacting with #NumPy.

Day 9 of my AI/ML & Data Science Journey! Learning NumPy — the foundation for numerical computing. • Arrays vs Python lists • Creating & reshaping arrays • Indexing & slicing Building strong fundamentals one step at a time. #Python #NumPy #DataScience #MachineLearning

A simulation of the dielectric breakdown model described in Fractal Dimension of Dielectric Breakdown L. Niemeyer, L. Pietronero, and H. J. Wiesmann Phys. Rev. Lett. 52, 1033 – Published 19 March 1984 Made with #python, #numpy and #matplotlib.

Libraries For Data Science In Python 🔥🚀 #numpy #pandas #tensorflow #python #datascience #machinelearning #deeplearning #ai #artificialintelligence #programming #developer #softwaredeveloper #computerscience #calculus #linearalgebra #algebra #maths #mathematics

Machine Learning From Scratch In Python - Full Course With 12 Algorithms (5 HOURS) #python #machinelearning #numpy #datascience #developer #algorithms

The Bak-Sneppen model: species in a circle, each with random fitness. Replace the weakest species (and its neighbors) with new random values. Cascading evolutionary avalanches emerge, showing self-organized criticality from simple rules. Made with #python #numpy #matplotlib

Greenberg-Hastings cellular automata. Made with #python #numpy #scipy #matplotlib

Roots of parametric polynomials animation. Made with #python, #matplotlib, #numpy and #sympy.

Roots of parametric polynomials animation. Made with #python, #matplotlib, #numpy and #sympy.

Lorenz attractor. The most famous chaotic attractor in history, discovered by Edward Lorenz in 1963. Made with #python #numpy #pygfx

Each blob is an eigenvalue. At every frame, I apply small random perturbations and compute eigenvalues each time, this builds the blobs. A real parameter t drives the animation. Thanks to @reidatcheson for making me think about pseudospectra. Made with #python #numpy #matplotlib

Take two large random matrices and linearly interpolate between them at several hundred steps. Compute the eigenvalues for each interpolated matrix, then plot them in the complex plane. The result is shown here. Made with #python #numpy #matplotlib

This one is my favorite. Roots of parametric polynomials animation. Made with #python, #matplotlib, #numpy and #sympy.