Lectures related to Literate programming

Python Programming: File Handling and Exceptions

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

Reproducible Research: Principles and Tools

Covers the principles and tools for reproducible research in biostatistics, emphasizing the importance of complete documentation and the use of text editors for compiling source documents.

Interatomic Potentials: LJ and EAM

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

Advanced Pandas Functions

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

Binary Sentiment Classifier Training

Covers the training of a binary sentiment classifier using an RNN.

Recursive Functions: Examples and Applications

Explores recursive functions, including factorials and Fibonacci sequences, and their scope and namespaces.

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.

Structures and Mechanisms: Opening a Box

Explores the analysis of structures and mechanisms through a sample problem of opening a box with a string-held lid.

Algorithmic Composition: Semester Project Milestones

Covers semester project milestones in Algorithmic Composition, exploring musical concepts, technical tools, and final deliverables.

Object-Oriented Programming: Introduction and Benefits

Introduces Object-Oriented Programming with Python, showcasing a practical example of its utility and advantages.

Introduction to Object-Oriented Programming in C++

Covers the basics of object-oriented programming in C++, emphasizing the importance of practice.

Scientific Computing in C++

Covers the basics of scientific computing in C++, including object-oriented programming and specific techniques.

Java Class Encapsulation

Explores encapsulation in Java classes, focusing on 'Rectangle' design and data protection.

Linear Regression: Fundamentals and Applications

Explores linear regression fundamentals, model training, evaluation, and performance metrics, emphasizing the importance of R², MSE, and MAE.

Advanced Spark Optimization

Delves into advanced Spark optimization techniques, emphasizing data partitioning, shuffle operations, and memory management.

Graphics Handles and Animation with Matlab/Octave

Covers graphics handles, animations, GUIs, and programming concepts in Matlab/Octave.

Introduction to Object-Oriented Programming in Java

Covers the fundamentals of object-oriented programming in Java, emphasizing practical exercises and active participation for effective learning.

Python: Dictionaries and Tuples

Explores dictionaries, tuples, mutable objects, and variable-length arguments in Python.

Image Processing Techniques: Seam Carving and Pixel Manipulation

Discusses image processing techniques, focusing on seam carving and pixel manipulation in Python programming.

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.