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Related lectures (31)

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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.

Singularity Container Setup for Jupyter Notebook

Covers the setup of a Singularity container to run a Jupyter notebook, including SSH connections and software announcements.

String Operations: Basics and Methods

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

Defects in Crystals: Point Defects and Dislocations

Explores point defects and dislocations in crystals, highlighting their impact on material properties and the importance of energy relaxation.

Python Programming Basics

Covers the basics of Python programming, focusing on flow control structures, interactive mode, script mode, and variables.

Introduction to Numerical Analysis

Introduces a course on numerical analysis, covering its importance, the MOOC, MATLAB, and Jupyter notebooks.

Advanced Pandas Functions

Focuses on advanced pandas functions for data manipulation, exploration, and visualization with Python, emphasizing the importance of understanding and preparing data.

Numerical Analysis: Introduction to Computational Methods

Covers the basics of numerical analysis and computational methods using Python, focusing on algorithms and practical applications in mathematics.

Python Programming: File Handling and Exceptions

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

Numerical Analysis: Jupyter Notebook Tutorial

Covers course organization, Jupyter Notebook for Python experimentation, algorithms, interpolation, solving equations, linear systems, and practical applications.