Physics Visualization with Jupyter Notebooks

Related lectures (30)

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Explores the HPC infrastructure of the Blue Brain Project, including multi-compartment neuron refinement and large-scale data processing.

Introduces Jupyter notebooks for teaching sciences, focusing on visualizing angles and forces in physics problems.

Explores simulation pitfalls, random numbers, discrete & continuous distributions, and Monte-Carlo integration.

Covers configuring synapses to realistic biological ranges and visualizing NMDA conductance dependencies.

Covers the computational environment for Molecular Dynamics and Monte Carlo exercises, emphasizing theoretical understanding over coding skills.

Explores data manipulation, exploration, and visualization in data science projects using Python.

Focuses on automating finite element analysis of scapulas using Python.

Explores simulation of common structures and control of dynamic systems through friction and elasticity constants.

Introduces simpler fluid models to study plasma dynamics with a focus on two specific models and their applications.

Explores the history and tools of scientific computing in neuroscience, emphasizing the simulation of neurons and networks.