Object-Oriented Programming Fundamentals

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Introduces functions in Python, covering predefined and user-defined functions, formal and effective parameters, and the importance of docstrings.

Data Science Visualization with Pandas

Covers data manipulation and exploration using Python with a focus on visualization techniques.

Python Object: Exercises and Syntax Basics

Covers Python object exercises and basic syntax questions, including classes, dictionaries, file operations, and functions.

Python Lists: Manipulation and Comprehension

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

Java Interfaces: Enumerated Types and Interfaces

Explores the principle of coding to an interface, Java enumerated types, and the benefits of using interfaces for encapsulation.

Designing Learning Experiences: CS411 Class Project

Introduces the CS411 Class Project, where students design and test a lesson using learning theories.

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.

Exception Handling in Python

Covers exception handling in Python, including try, raise, except, else, and finally blocks, with examples.

Python Programming Basics

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

Classes and Encapsulation: Principles of Modular Programming

Covers the principles of classes, encapsulation, and modular programming in C++.