Grind your functions

With a large project in hand, our speaker (Daryl) began researching various languages and the balance of speed Vs ease of coding. He picked a scheduling algorithm which worked through the locations of 10 people and pick the nearest job from a pool of 500 until it had assigned 50 jobs to each person.

He wrote a number of implementations and then turned everything up to 11.