
Explore Lingua Franca integration with RIOT for improved reliability in cyber-physical systems. Learn about this time-centric language for concurrent, distributed development.

Explore the future of IoT payments, focusing on trustworthy and scalable open-source solutions. Examine the challenges of blockchain-based networks and discover potential alternatives like GNU Taler for resource-constrained devices.

Explore Zephyr RTOS testing with Ztest and Twister. Learn to write, run, and automate tests for embedded systems development.

Learn to test libraries in Zephyr RTOS using Ztest and Twister frameworks. Explore JSON library, sample implementations, and best practices for effective testing in embedded systems development.

Explore topological data analysis applications in art perception, comparing responses to abstract paintings and AI-generated images through eye movement analysis and geometric feature recognition.

Explore Software Bill of Materials generation, usage, and future in Yocto Project, emphasizing supply chain security and reproducible builds.

Explore Python and sympy to model the double pendulum, from deriving equations to creating a 3D visualization.

Explore numerical calculations for mass-spring systems using Python, including 3D motion simulations and interactive code examples.

Model a falling and bouncing stick using Python, inspired by Veritasium's falling ladder problem. Explore physics simulations and coding techniques.

Explore momentum conservation and kinetic energy loss in collisions through Python modeling, unraveling the interplay between mass and velocity.

Explore three methods for deriving pendulum equations of motion: Newtonian, Lagrangian, and Hamiltonian. Compare approaches and visualize results using Python.

Discover how to find normal modes for coupled oscillators using the eigenvalue problem, with a practical Python testing program included.

Explore Hamiltonian mechanics through a mass-on-cone problem, using Python to model and analyze the motion in a gravitational field.

Explore normal modes of oscillation for a double pendulum with equal masses and lengths, including Python code for plotting and visualization.

Explore methods to determine a triangle's center of mass, including a Monte Carlo calculation using Python for added precision.

Model colliding clay pendulum balls using Python and springs to solve a physics problem numerically.

Learn to create numerical solutions in physics using Python, from basic coding to graphing and modifying code for practical applications.

Explore quantum mechanics using Python to solve the 1D infinite square well problem with finite difference method and visualize results through animations and graphs.

Model a wave on a string using finite difference calculations and Web VPython. Learn Python coding techniques for physics simulations and data visualization.

Explore numerical solutions to the time-dependent Schrödinger equation using Python's finite difference method for 1D quantum systems.

Explore quantum mechanics through Python, simulating wave function evolution in an infinite square well using Gaussian initial conditions.