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Related lectures (32)

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Explores LJ and EAM interatomic potentials, fitting to material properties and challenges in empirical potential fitting.

Intraday Data Analysis

Covers intraday data analysis, systematic studies, debugging, multicore computing, GPU programming, and correlation computation with GPUs.

Dictionary Operations

Covers operations and methods related to dictionaries in Python, including creating, updating, and handling key errors.

String Operations: Basics and Methods

Covers the basics and methods of string operations in Python, including slicing, indexing, and formatting.

Coq Workshop: Inductive Data Types and Proofs

Covers the definition of an inductive data type in Coq and how to build proofs interactively using tactics.

Error Analysis and Interpolation

Explores error analysis and limitations in interpolation on evenly distributed nodes.

Python Programming: File Handling and Exceptions

Explores file handling and exceptions in Python programming, covering reading, writing, and error handling strategies.

Classical Mechanics and Molecular Dynamics

Covers classical mechanics, molecular dynamics, integrators, constant-temperature simulations, and melting point calculations for aluminum.

Accelerator-centric OS Architecture

By the instructor Mark Silberstein explores accelerator-centric OS architecture and the role of CPUs in modern computers.

Boolean Types and Control Structures

Explores boolean types, logical operators, and control structures in Python, emphasizing the evaluation of expressions and the use of relational operators.