Lectures related to Dataclasses: Modeling and Classes

Python Programming: Lists and Functions Overview

Introduces Python programming concepts, focusing on lists, functions, and their applications in problem-solving.

Python Programming: Data Structures and Functions

Covers advanced Python programming concepts, including data structures and functions.

Python: Dictionaries and Tuples

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

Python Lists: Manipulation and Comprehension

Covers Python list manipulation and comprehension, emphasizing memory representation and mutability.

Python Programming: List Comprehensions and Higher Order Functions

Explores advanced Python programming concepts, focusing on list comprehensions and higher order functions.

Functions and Lists: Complements and Manipulation

Explores functions' complements, parameter order, and list manipulation, including counting occurrences and solving the '100 prisoners problem'.

Data Structures: Tuples, Sets, Dictionaries

Explores tuples, sets, and dictionaries in Python, covering immutability, uniqueness, and key-value pairs.

Wind Power Production Analysis

Covers wind power production analysis using Python and matplotlib.

Python Programming: Dictionaries and Classes

Introduces Python programming concepts, focusing on dictionaries and classes, including their definitions, usage, and practical examples.

Modeling Prisoner's Dilemma: Naive vs. Optimal

Explores the modeling of the '100 prisoners' problem and compares naive and optimal approaches.

Data Structures: Tuples, Lists, Sets, Dicts

Introduces data structures like tuples, lists, sets, and dicts in Python, covering their definition, manipulation, and iteration.

Image Processing Techniques: Seam Carving and Pixel Manipulation

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

Data Science with Python

Covers Python basics, Pandas, data manipulation, visualization, and machine learning.

Data Structures: Tuples, Lists, Sets, Dicts

Introduces Python data structures like tuples, lists, sets, and dictionaries, emphasizing manipulation and conversion techniques.

Introduction to C Programming

Introduces fundamental C programming concepts, covering variables, control structures, functions, and pointers, with practical examples and exercises.

Introduction to Jupyter Exercises

Introduces Jupyter exercises on Differential Privacy, covering random generators, understanding data intrusion impact, and practical applications.

Python Basics: Functions and Lists

Introduces Python basics, functions, lists, and lambda functions for concise coding.

Python Programming: Immutable and Mutable Objects

Explains the differences between mutable and immutable objects in Python, focusing on lists, sets, and their behaviors.

Introduction to NumPy and Matplotlib for Scientific Computing

Introduces NumPy and Matplotlib, essential tools for scientific computing and data visualization in Python.

Python for Engineers: Basics and Functions

Covers Python basics, functions, and practical applications for engineers, emphasizing data manipulation, functional programming, and data structures.