Concept

Event-driven programming

Related lectures (19)

Covers GUI programming with Tkinter in Python, focusing on creating interfaces and handling events.

Responsiveness: Principles of Reactive Programming

Delves into responsiveness in reactive programming, emphasizing timely system responses, parallelism, and system reliability.

Reactive Programming: Fundamentals and Applications

Covers the fundamentals of reactive programming, emphasizing event-driven, scalable, resilient, and responsive systems, and proposes using functional programming for composable event abstractions.

Event-driven Programming and Code Organization

Covers creating a program using events, variables, procedures, and code organization for the Thymio robot.

Designing Actor Systems

Covers the principles of designing actor systems for reactive programming and explores practical examples like the Link Checker system.

Designing Actor Systems

Explores the design principles of actor systems in reactive programming, covering topics like web clients, timeouts, and actor interactions.

Control Your Sprite with Keyboard

Covers how to control a sprite using keyboard keys in Scratch.

Introduction to LaunchPad

Covers the basics of LaunchPad development board and includes examples of LED control.

GTKmm4: Project Architecture and Visualization

Covers the architecture of a project using GTKmm4 and the MVC design pattern for graphical applications.

Thymio rescue

Involves programming a robot to navigate a dangerous sandstorm on Mars.

Task with Timer

Explains how a robot changes color and behavior based on different conditions using a timer.

Event Handling in GTKmm4: Timers and File Management

Discusses implementing keyboard events, timers, and file management in GTKmm4 applications.

Event-Driven Programming: Introduction to GTKmm4

Covers event-driven programming with GTKmm4, focusing on non-blocking input and user interaction management.

Digital Musicology: Music Evolution

Explores the evolution of music from medieval to modern times, covering different periods, styles, and composers.

Imperative Event Handling: The Observer Pattern

Introduces the widely used Observer Pattern for views to react to model changes, with examples of Publisher, Subscriber, and a Consolidator.

Information Measures: Estimation & Detection

Covers information measures, entropy, mutual information, and data processing inequality in signal representation.

Discrete Event Simulation

Covers discrete event simulation using digital circuits, base components, complex components, and simulation implementation.

LabVIEW Design Patterns

Explores LabVIEW design patterns including local variables, race conditions, state machines, and queues.

Event and Sequential Programming

Covers the differences between event programming and sequential programming.