Can you explain how parallelism works in programming?
Sure! Parallelism in programming allows multiple processes to run simultaneously, improving efficiency and performance.
What are some common use cases for parallelism?
Common use cases include data processing, simulations, and tasks that can be divided into smaller, independent sub-tasks.
How does it differ from concurrency?
Concurrency is about managing multiple tasks at once, while parallelism is about executing multiple tasks simultaneously.
What programming languages support parallelism?
Languages like Python, Java, C++, and Go have built-in support for parallelism through various libraries and frameworks.
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