Online coding and Python classes in Malone, Belfast

The learner downloads OpenStreetMap data for a rectangle over Malone and picks out the park outline named Barnett Demesne, which our area calculation puts at 50.36 hectares. Bridson's algorithm starts with one random point inside the park. It then repeatedly picks an existing point, tries up to 30 new candidates in a ring between one and two spacings away, and keeps the first that is inside the park and far enough from every point already placed. A background grid, with cells small enough to hold at most one point, means each check only looks at a few neighbouring cells. When a point has failed 30 times it is retired, and the process stops when none are left.

With a 15 m spacing the park takes 1,445 points, none closer than 15 m, and the typical gap to the nearest neighbour is 15.9 m: tightly packed but with no pattern to the eye. Scatter the same 1,445 points with a plain random generator and the closest pair is 20 cm apart, the typical gap shrinks to 8.9 m, and 86% of points have a neighbour inside the 15 m they were supposed to keep. The cost of doing it properly is modest: 52,979 candidate positions tried, about 37 for each point kept. Designers call the even result blue noise.

Measuring what a program really produced is the habit that lets Malone teenagers rely on AI-written code, and Python is where the habit is built. The longer argument is in why teenagers should still learn to code in 2026.