Coding and AI classes in London, Ontario

This script prints the decade chart as rows of hash marks, then breaks down the 2021 rows by owner. Run it with Python 3 next to the downloaded CSV:import csv from collections import Counter decades = Counter() by_owner_2021 = Counter() no_year = Counter() sizes = Counter() with open("park-amenities.csv", encoding="utf-8-sig") as f: for row in csv.DictReader(f): year = row["YearConstructed"].strip() owner = row["Owner"] or "(blank)" if year.isdigit(): decades[int(year) // 10 * 10] += 1 if year == "2021": by_owner_2021[owner] += 1 else: no_year[owner] += 1 if row["AmenityType"]: sizes[row["AmenityType"].lower()] += 1 for decade in sorted(decades): print(decade, "#" * (decades[decade] // 10), decades[decade]) print("built in 2021, by owner:", dict(by_owner_2021)) print("no year, by owner:", dict(no_year)) print("peewee after lower():", sizes["peewee"])

The last line of the script teaches a smaller lesson. The AmenityType column spells one size as Peewee 25 times and as PeeWee once; lowercasing first gives the honest count of 26. For a stronger student, the next step is mapping the soccer fields (254 rows) and ball diamonds (194) with the X and Y columns, which hold projected map coordinates rather than latitude and longitude. The data comes from the City of London under its Terms of Use for City of London open data, which allow use for any lawful purpose; the file is publicly available from the City under those terms (dataset page). The City has not approved or endorsed this page or our classes.

The monthly fee in London is the same as anywhere else in Canada. Billing begins only after the free lesson and once a course and time are agreed; the pricing page explains missed classes and holidays.