Multithreading vs Multiprocessing | System Design

Video Description

https://systemdesignschool.io/ 👈 Best place to learn and practice system design In this video, we dive into the key differences between multithreading and multiprocessing, two powerful approaches to achieving concurrency in programming. Whether you're building applications that handle multiple tasks at once or you need to maximize CPU performance, understanding when to use multithreading versus multiprocessing is critical for optimizing your code. You'll learn: What multithreading is and how it allows multiple threads to run within the same process. The benefits of multithreading for I/O-bound tasks and the challenges like synchronization complexity and the Global Interpreter Lock (GIL) in Python. What multiprocessing is and how it runs multiple processes with separate memory spaces, enabling true parallelism. The pros and cons of multiprocessing for CPU-bound tasks, including higher memory overhead and complex interprocess communication. Real-world examples of multithreading in web servers and multiprocessing in data analysis applications. By the end, you'll know exactly which approach to choose depending on whether your application is I/O-bound or CPU-bound. If you want to write efficient, scalable code that maximizes your system's resources, this video is for you 👍 If you found this video helpful, make sure to like, subscribe, and hit the notification bell for more in-depth tech explainers! #Multithreading #Multiprocessing #Concurrency #Python #Programming #TechExplainer #CPU #IO