Parallel Processing is a computing technique that allows multiple tasks to be executed simultaneously. Instead of completing one task before starting another, it divides a large problem into smaller parts that can be processed at the same time. This approach significantly speeds up computation, making it ideal for complex calculations and large data sets. In computer science, parallel processing can be implemented using multiple processors or cores within a single machine, or across several machines in a network. This method is commonly used in applications like data analysis, scientific simulations, and image processing, where efficiency and speed are crucial.