Control doesn’t wait to execute the goroutine completely and immediately moves to next line of code just after the gouroutine has been called. The output of above example is :1 a 2 3 b 4 c 5 d e Printing from main. However, they mean two distinctly different things. This is because concurrency and parallelism are not the same thing. Concurrency is a property of a program where two or more tasks can be in progress simultaneously. Parallelism is a run-time property where two or more tasks are being executed simultaneously. Again you are jogging and at the same time you want to listen to music, so you’re jogging and listening music at the same time. VS. Concurrency is about structure, parallelism is about execution. Satu contoh: What would you do? We had a complete day and we chose particular tasks from our list of tasks and started to work on them. Executing the preceding code should produce unsurprising output, as shown here: We took a list of tasks and wrote a program to execute them in a linear and sequential manner. To run a method or function concurrently prefix it with keyword ‘go’. In programming, concurrency is the composition of independently executing processes, while parallelism is the simultaneous execution of (possibly related) computations. In parallelism, two cores can work on each task respectively. Concurrency is the composition of independently executing processes, while parallelism is the simultaneous execution of (possibly related) computations. Concurrency. Suppose you’re jogging and you need to tie your shoe lace. That’s a simple hack and not how goroutine actually communicates with each other. Concurrency provides a way to structure a solution to solve a problem that may (but not necessarily) be parallelizable. Parallelism does not constantly result in quicker times, because components might to “communicate” with each other. We have a function print which is just printing a string define from line 8 to 10. (Added 2018-11-6) An alternative definition of “parallelism vs concurrency” I’ve seen used is distinguishing “hardware vs programming model.” Concurrency is about dealing with a lot of things at once. The output from the continueWritingMail1, continueWritingMail2, and continueListeningToAudioBook functions is missing; the reason being that we are using goroutines. Concurrency Vs Parallelism. Let’s understand the output of it. Since goroutines are not waited upon, the code in the main function continues executing and once the control flow reaches the end of the main function, the program ends. Concurrency and parallelism are related terms but not the same, and often misconceived as the similar terms. Satu per satu! Postman: Skills that every developer should know for Fast and Agile Development, Creating an Automated Text Extraction Workflow — Part 1, An opinionated guide to naming your code, aimed at new developers, The Top 5 Menu Bar Apps for Developers on macOS, Building a simple multilingual spell-checker in Python. Imagine you start your day and need to get six things done: The order in which they are completed doesn’t matter, and for some of the tasks, such as  writing an email or listening to an audiobook, you need not complete them in a single sitting. This can be seen as follows: Let’s first implement a program that will execute all the tasks in a linear manner. In the single core case, the Go runtime scheduler will constantly switch between goroutines, but only one goroutine is being processed by the CPU at any instant. Listen to another 20 minutes of audiobook. We’ll use WaitGroup now. Goroutines are functions or methods which can run concurrently with others methods and functions. 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