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Related lectures (31)
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Exception Handling in Python
Covers exception handling in Python, including try, raise, except, else, and finally blocks, with examples.
Jupyter Notebooks for Numerical Analysis
Covers the transition to Python and Jupyter notebooks for Numerical Analysis at EPFL, including interactive exercises and graded tests.
Finite Element Modeling: Dynamics
Introduces the basics of finite element modeling for dynamics and discusses the Newmark method for time integration.
Finite Element Modeling
Covers the derivation of the equation of motion, interpolation, Newton's equation, and energy conservation in finite element modeling.
Finite Element Method
Covers the Finite Element Method, discussing the derivation of the equation of motion and exploring mass and stiffness matrices.
Introduction to Numerical Analysis
Introduces a course on numerical analysis, covering its importance, the MOOC, MATLAB, and Jupyter notebooks.
Advanced Pandas Functions
Covers advanced functions of Pandas, focusing on filtering, labeling, and manipulating dataframes.
Observable Universe: Contents and Properties
Explores the 3D distribution of galaxies, galaxy clustering, and the cosmic microwave background, shedding light on the observable universe's contents and properties.
Python Crash Course
Provides a Python crash course covering basic arithmetics, complex numbers, strings, lists, dictionaries, and more.
Interatomic Potentials: LJ and EAM
Explores LJ and EAM interatomic potentials, fitting to material properties and challenges in empirical potential fitting.
