Go Practice Exercises
Binary Search in Go
Find a value in a sorted slice by halving the search range at every step.
What you'll learn
- low, high and middle
- Returning -1 when missing
- Why it is fast
Search for 23
20
82
164
235
386
567
Halve the range each step
Binary search looks at the middle of a sorted list and throws away the half that cannot contain the target. Each step halves the work, so it is very fast on large lists.
low and high mark the part that is still being searched. The function returns the position of the target, or -1 when the range becomes empty. low + (high-low)/2 finds the middle without overflow.
Key points
- The slice must be sorted.
- Each step throws away half.
- -1 means the value is not there.
Runnable Go example
main.go
package main
import "fmt"
func binarySearch(items []int, target int) int {
low, high := 0, len(items)
for low < high {
middle := low + (high-low)/2
switch {
case items[middle] == target:
return middle
case items[middle] < target:
low = middle + 1
default:
high = middle
}
}
return -1
}
func main() {
sorted := []int{2, 5, 8, 12, 16, 23, 38, 56}
fmt.Println(binarySearch(sorted, 23))
fmt.Println(binarySearch(sorted, 7))
}
5
-1Practice
Open the example in the online compiler, change a value or add a line, and predict the output before you run it. Then break the code on purpose and read the compiler's message.
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Practice with a challenge
Use what this lesson covers to solve a real problem. Each challenge runs in your browser with instant tests and an AI review.
- Missing Number Find the one number missing from 0..n. Easy
- K-th Smallest Element Find the k-th smallest value without fully sorting. Medium