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Programming in Python

Concurrency and Parallelism in Programming

Explore the concepts of concurrency and parallelism in Python programming. Understand how threads run simultaneously or in overlapping intervals, and learn how these processes improve performance for CPU-bound and IO-bound tasks. This lesson helps you grasp when and how to use concurrency and parallelism to optimize program execution.

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Concurrency in programming

Concurrency is when multiple threads of a program start, run, and complete in overlapping time periods.

Once the program execution begins, one thread can run for some time, then it can stop and the second thread can start running. After some time, the second thread can stop and the third can start running.

Threads can get executed in a round-robin fashion or based on the priority of each thread. At any given instance, only one thread is running.

Advantages of concurrency

Some of the advantages of concurrency are:

  • Improves the
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