3D Graphics: Plotting and Visualization

Related lectures (30)

Explores different types of graphs achievable with Matplotlib, showcasing a variety of visualization techniques.

Explores parallel computation in CFD, emphasizing its implementation in Fluent and visualization techniques for scientific data interpretation.

Covers data visualization techniques, tools, and concepts for effective data representation.

Explores turbulence characteristics, simulation methods, and modeling challenges, providing guidelines for choosing and validating turbulence models.

Introduces working with surfaces, polysurfaces, and solids in Rhino, covering rendering, material editing, and mesh creation.

Covers the implementation of fully connected neural networks on two datasets using PyTorch.

Introduces 2D graphics using MATLAB and Octave for beginners.

Introduces the course structure and fundamental concepts of machine learning, including supervised learning and linear regression.

Covers a wide range of topics in Matplotlib, including simple plots, subplots, and various types of charts.

Demonstrates the simulation of a free piston system using COMSOL Multiphysics software.

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