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Playground , Repo Why do you need concurrency limiting? Concurrency limiting in your go application might be necessary to limit overuse of a specific resource. This could be an API rate limit, slow network connection, slow disk I/O operation or limited CPU/RAM. Starting a huge number of go routines that use a limited resource could cause your application to crash. If you are experiencing crashes or errors on a resource intensive task then I would recommend implementing a concurrency limiter....

Part 1 , Part 2 , Part 3 , Part 4 , Part 5 In Go, critical sections refer to parts of your code that manipulate a resource which must be accessed by only one goroutine at a time. By using a mutex, you can temporarily lock a critical section, perform the operation, and then unlock it, allowing other goroutines to access the resource. Attempting to lock a critical section in a goroutine will block execution until the lock can be acquired....

While similar in some ways to software development, live coding interviews demand a unique approach. In everyday software development, you build knowledge and experience over time, getting more proficient each day. In a live coding interview, you’ll be expected to showcase your grasp of essential software development concepts, as well as data structures and algorithms, all within a time frame of roughly 45 minutes. Most data structures and algorithms are actually the first thing implemented in any language, so it’s extremely rare for a software developer to re implement a data structure in the day to day job....

Part 1 , Part 2 , Part 3 , Part 4 , Part 5 Return values from go routines cannot be captured in the usual way with the = operator because starting a go routine is non blocking. A channel can be used to collect the results from many concurrent go routines. Write a value to a channel inside the go routine that is doing the work, then in main() read from the channel until it is closed to collect all the results from the go routines....

Part 1 , Part 2 , Part 3 , Part 4 , Part 5 Goroutines can be used to take advantage of CPUs with multiple processors. Starting a Goroutine using the “go” keyword, will start execution on a thread in parallel if a thread is available. You will need to make sure that your main function does not exit before all the goroutines finish their work. Playground: https://go.dev/play/p/FTJLzwY34l2 package main import ( "fmt" "sync" ) func main() { wg := sync....