Lectures related to Python Programming: Data Structures and Functions

Introduces functions and control structures in Python, emphasizing their importance for code organization and reusability.

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

Covers the definition of applications, image of elements, and direct and reciprocal images.

Covers the concepts and implementation of functional programming in Scala, emphasizing functions, immutable data, and data abstraction.

Covers the basic concepts of sets, functions, and number systems.

Covers organizational aspects, introduces Kahut for quizzes, presents complex examples, and summarizes the main topics.