For a technical interview over video chat for an API Developer position, I was asked to write a function while sharing my screen that would compare two strings and determine whether or not they formed an anagram. This article outlines my approach to solving the problem.

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An exponential big-O is represented by: O(c^n)

The n in an exponential problem means that the time of each consecutive computation of n will increase by c^n.

Recursively computing the Fibonacci sequence is a simple example of exponential big-O problems. Let’s take a look:

package main

import "fmt"

func main() {

func fib(n int) int {
    if n <= 1 {
        return n
    } else {
        return fib(n-1) + fib(n-2)
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In the Go programming language, I often see errors being handled in a careless manner that is difficult to maintain. This common mistake has prompted me to make a video that demonstrates the basic fundamentals of error handling in Go:

The Effective Go guide points out the appropriate way to do error handling in Go and is a great place to turn for further reading.

With its popularity on a wild rise for several years in a row, Go is a language worth spending some time with in your spare time.

Six months ago, I wrote my first Go program for a project at work and I have been in love ever since. While I would never advocate using the language in a place where it doesn’t make sense, I don’t see a reason why it wouldn’t be used in every place that it does.

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Zach Holman’s recent post got me thinking about my own situation and how I have still managed to maintain forward progress over the years no matter what the circumstances have been.

Defining a target is great. Knowing how to hit the target is even better. That’s the takeaway that I get from Zach. Here’s a bit about how I got a jump start on aiming for my target.

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