Lectures related to Python Basics: Functions and Lists

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

Covers advanced Excel functions and data analysis techniques, including automatic recording and using Solver.

Covers the basics of writing functions in Python and working with function arguments.

Introduces the CS-250 Algorithms course, covering its structure, objectives, and key topics in algorithmic problem-solving.

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

Introduces Python programming basics, focusing on functions to enhance code efficiency.

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

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