What is concurrency in programming and why is it important?
Concurrency in programming refers to the ability of a system to handle multiple tasks simultaneously. It's important because it improves the efficiency and performance of applications, especially in multi-core processors.
Can you explain the difference between concurrency and parallelism?
Sure! Concurrency is about dealing with multiple tasks at once, while parallelism is about executing multiple tasks simultaneously. Concurrency can be achieved on a single core, while parallelism requires multiple cores.
What are some common tools used for managing concurrency?
Common tools for managing concurrency include threading libraries, asynchronous programming frameworks, and message queues. Examples are Java's Executor framework, Python's asyncio, and Node.js's event loop.
How does concurrency affect application performance?
Concurrency can significantly enhance application performance by allowing tasks to run in overlapping time periods, reducing idle time and improving resource utilization.
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