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Concurrency vs Parallelism - They are NOT the same 𝐂𝐨𝐧𝐜𝐮𝐫𝐫𝐞𝐧𝐜𝐲: Concurrency means an application is making progress on multiple tasks at the same time. While a single CPU core can handle only one task at a time, it achieves concurrency by rapidly switching between tasks. Example: Listening to music while writing code. The CPU quickly switches between these tasks so efficiently that it feels like both are happening at once. The primary goal of concurrency is to maximize CPU utilization
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Concurrency vs Parallelism - They are NOT the same 𝐂𝐨𝐧𝐜𝐮𝐫𝐫𝐞𝐧𝐜𝐲: Concurrency …
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Concurrency vs Parallelism explained in simple terms. Your phone can play music, download apps, and receive messages at the same time — and this is why. In this video, I explain the difference between concurrency and parallelism, how computers handle multiple tasks, and why this matters in real programming. Perfect for anyone learning computer science, software engineering, or backend development. #Concurrency #Parallelism #ComputerScience #HowComputersWork #SoftwareEngineering #BackendDevelopme
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