Concurrency and Parallelism in Python
16 Aug
The world of software development has evolved to include more efficient ways of handling tasks. Two key concepts, concurrency and parallelism, play a significant role in optimizing performance. Python, known for its versatility, provides powerful tools and libraries to manage concurrent and parallel tasks. In this article, we’ll explore Python’s capabilities in handling these concepts using libraries like threading and multiprocessing.