FDTD Simulation with Plotly Visualization
Python code for FDTD simulation using NumPy and visualization with Plotly, including 1D and 2D examples.
Python code for FDTD simulation using NumPy and visualization with Plotly, including 1D and 2D examples.
The finite-difference time-domain (FDTD) method is a numerical analysis technique used for modeling computational electrodynamics, with Python implementations available.
A Python-based FDTD simulator using NumPy and Plotly for visualization, suitable for educational and research purposes, with example code provided.
Online course covering the FDTD method, including Python implementation and visualization using Plotly, with interactive examples and quizzes.
Example code and tutorials for creating interactive visualizations of FDTD simulations using Plotly, including 3D plots and animations.
Lecture notes and Python code for the FDTD method, including examples of electromagnetic simulations and visualization using Plotly, from North Carolina State University.
Open-source Python code for FDTD simulation and visualization using Plotly, including example use cases and documentation.
Video tutorial on visualizing FDTD simulations using Plotly, covering topics such as 3D plotting and animation, with example Python code provided.