Online coding and AI classes in La Libertad

INEI, results of the Censos Nacionales 2025, demographic indicators table 1: población total for the reference date of 15 September 2025. Each number is copied from INEI; we did not compute the department line from the provinces, and we do not add rows.

Built from Ley 28044 (six years of primaria, five of secundaria), MINEDU's normative-age table, the CNEB secundaria study plan, and the GRE La Libertad note of 13 July 2026 on technical institutes. The age in the last row is our general description, not a rule.

INEI, Compendio Estadístico Perú 2026, volume 1, tables 11.6, 11.5 and 11.13, drawn from the national household survey (ENAHO). Figures as INEI prints them, with the decimal comma turned into a point.

The connection is improving fast: the share of La Libertad homes online rose from 55.3 per cent in 2022 to 63.1 per cent in 2025. Computers have not kept pace, and about one home in three has one. For children under nine a tablet is enough to start with blocks; from about nine, typing real code calls for a keyboard, so we ask about the device in the free class and suggest what to do if there is only a phone. Regional averages also hide a gap between Trujillo and the highland provinces, so we never assume; we ask.

import csv

count = {}
with open("artesanos.csv", newline="", encoding="latin-1") as rna:
    for row in csv.DictReader(rna, delimiter=";"):
        province = row["PROVINCIA"]
        count[province] = count.get(province, 0) + 1

ranking = sorted(count.items(), key=lambda pair: pair[1], reverse=True)
print("Provinces:", len(ranking), "Artisans:", sum(count.values()))
for province, n in ranking[:3]:
    print(province, n)

Students usually expect Trujillo to win, and are surprised to see Pataz first. Then someone points out that Trujillo comes third by count while having about thirteen times as many people as Pataz. The count is correct; it just answers the first question, not the second.

import csv

# INEI, Censos Nacionales 2025, Cuadro 1: total population by province
people = {"TRUJILLO": 1090001, "ASCOPE": 127622, "BOLÍVAR": 16127,
          "CHEPÉN": 96338, "JULCÁN": 29980, "OTUZCO": 92560,
          "PACASMAYO": 123508, "PATAZ": 84293, "SÁNCHEZ CARRIÓN": 173502,
          "SANTIAGO DE CHUCO": 58138, "GRAN CHIMÚ": 30356, "VIRÚ": 134020}

count = {}
with open("artesanos.csv", newline="", encoding="latin-1") as rna:
    for row in csv.DictReader(rna, delimiter=";"):
        province = row["PROVINCIA"]
        count[province] = count.get(province, 0) + 1

rates = []
for province, n in count.items():
    per_10k = n / people[province] * 10000
    rates.append((round(per_10k, 1), province, n))

rates.sort(reverse=True)
for rate, province, n in rates[:3]:
    print(province, n, "artisans,", rate, "per 10,000 people")
print("Lowest:", rates[-1][1], rates[-1][0])
place = [r[1] for r in rates].index("TRUJILLO") + 1
print("Trujillo comes", place, "of", len(rates), "with", rates[place - 1][0])

The dictionary called people is the join: for each province in the register, the program looks up its 2025 population by name. That only works because both tables spell the names identically, accents included. Type "SANCHEZ CARRION" without accents and the program stops with a KeyError, which is a good thing; a silent wrong match would be worse. Once joined, the rate shows the region's shape: craft registration is most common in the highland provinces, and Trujillo, third by count, drops to tenth of twelve.

Data: GORE La Libertad, Artesanos registrados en el RNA De La región La Libertad 2025, ODC-By; population from INEI, Censos Nacionales 2025. The rates are ours. The register counts registrations, not every person who makes crafts, and registration habits may differ between provinces. Textiles account for 3,117 of the 4,104 rows, 76.0 per cent; in Pataz, 1,065 of 1,074 are textile, while Trujillo's 753 include 308 textile, 160 bisutería and 74 leather registrations, and Pacasmayo's largest line is carving, with 152 of 260.

1. Under 8, with counters. One basket holds 3 red beads out of 4. Another holds 10 red beads out of 100. Which basket has more red beads? Which is redder?
2. Block coding, around 8 to 10. Make a list of the twelve counts and find the largest. Then make a second list of populations and ask what you would need to do to compare fairly.
3. First Python, around 10 to 12. Run Version 1, then change the program to print every province, not just the top three, and mark where Trujillo is.
4. Ages 13 and over. Remove the accents from one key in the people dictionary and run Version 2. Read the KeyError, explain it in a sentence, and write a check that names any province with no population.
5. Going further. Repeat the rate for textiles only. Does Pataz still lead? Then write two sentences on what this register can and cannot tell us about craft work in La Libertad.

Course ages and pairings are ours. MINEDU counts a child's age on 31 March when placing them in a grade, so classmates can be almost a year apart.

For more on each path, see our Java course for Peru, the C++ course page for Peru and, for the youngest, online coding classes for kids in Peru. The national overview is on coding and AI classes in Peru.

Peru keeps one time all year, five hours behind UTC, with no summer change since 1994 (tz database, zone America/Lima). India keeps UTC plus five and a half hours. The difference is a steady 10 hours 30 minutes.

Since the difference never moves, a slot you agree in the summer break stays put through the school year. You pick a time on your own clock when booking; the system shows the mentor the India time. The 2026 school year in Peru began on 16 March 2026, so many La Libertad families start in January or February and keep the same hour when classes resume.