Online Python and AI classes in Chimbote, Peru

Census sources: table 1 of INEI's 2025 census tabulation of demographic indicators (reference day 15 September 2025), and INEI's Directorio de Centros Poblados from the 2017 census, Áncash file (census day 22 October 2017), which gives each settlement with its altitude. Each row is a different unit; adding any two would double count people.

Household tables 11.5, 11.6 and 11.13 in volume 1 of INEI's Compendio Estadístico Perú 2026, drawn from its national household survey (ENAHO). Department-wide figures; INEI publishes none for Chimbote alone. Python needs a computer with a keyboard, so the first row is the one to check.

Course ages and plans are ours. School years follow MINEDU's normative ages, measured on 31 March, so 1° de secundaria usually starts at 12 and 5° at 16.

If you are comparing providers before choosing, our page on choosing a Python course in Peru sets out what to check in a trial class, and the Python course for Peru page goes deeper into the syllabus.

1. Send a message. Use the form on this page or WhatsApp, in English, and say who the classes are for and roughly when suits you.
2. Pick a time in your own clock. The booking page shows times in Peru time; the mentor sees the same moment in India time.
3. Join the free class. A link opens a video call in the browser. The mentor asks a few questions, gives a short puzzle and helps the learner write a first small program.
4. Get a recommendation. After the class you hear which course fits, which group, and whether one to one would suit better.
5. Start the regular classes. The same mentor, at the same hours each week. The learner shares their screen and writes the code; the mentor watches, asks and guides.
6. Practise between classes. A short task after each class, checked at the start of the next one, so problems surface early.
7. See the progress. Learners keep every project they make, and families of children under 13 get a short written update after classes.

import csv
import statistics

normal_years = []
months_2026 = {}
with open("IMARPE_Temperatura_TSM.csv", encoding="utf-8-sig") as f:
    for row in csv.DictReader(f):
        if row["LABORATORIO_COSTERO"] != "CHIMBOTE":
            continue
        year, month = row["FECHA_MEDICION"][:4], row["FECHA_MEDICION"][5:7]
        t = float(row["TEMPERATURA_SUPERFICIAL"])
        if "1991" <= year <= "2020":
            normal_years.append(t)
        if year == "2026":
            months_2026.setdefault(month, []).append(t)

normal = statistics.mean(normal_years)
print("One normal for the whole year:", round(normal, 2))
for month in ("02", "07"):
    m = statistics.mean(months_2026[month])
    print("2026-" + month, round(m, 2), "difference", round(m - normal, 2))

Version 1 says both months were warm, February by almost two degrees. Then someone who has lived in Chimbote points out the problem: February is always warm. It is summer. Comparing a summer month with an average that includes the winter will make every summer look hot and every winter look cold, whatever the sea is doing.

import csv
import statistics

by_month = {}
months_2026 = {}
with open("IMARPE_Temperatura_TSM.csv", encoding="utf-8-sig") as f:
    for row in csv.DictReader(f):
        if row["LABORATORIO_COSTERO"] != "CHIMBOTE":
            continue
        year, month = row["FECHA_MEDICION"][:4], row["FECHA_MEDICION"][5:7]
        t = float(row["TEMPERATURA_SUPERFICIAL"])
        if "1991" <= year <= "2020":
            by_month.setdefault(month, []).append(t)
        if year == "2026":
            months_2026.setdefault(month, []).append(t)

normal = {month: statistics.mean(values) for month, values in by_month.items()}
print("February normal:", round(normal["02"], 2), "July normal:", round(normal["07"], 2))
for month in sorted(months_2026):
    m = statistics.mean(months_2026[month])
    print("2026-" + month, round(m, 2), "against its own month", round(m - normal[month], 2))

Version 2 builds twelve normals, one for each calendar month, and compares every month of 2026 with its own. The story changes completely. February 2026 was not warm at all; it was a third of a degree cooler than a normal February. The months from March onwards were warmer than their own normals, and the gap grew month by month: July 2026, at 22.70 degrees, was 4.14 degrees above a normal July. Version 1 had the right instinct about July and the wrong answer about February, because its baseline ignored the seasons.

Data: IMARPE, sea-surface temperature at its coastal laboratories, Chimbote rows, datosabiertos.gob.pe, licence ODC-By. Normals, averages and differences are our own. Before 2017 the file does not hold a reading for every day of the week; from 2017 it has one each day, and the 1991 to 2020 normals rest on 8,709 readings. The warmest Chimbote reading in the whole file is 30.17 degrees on 12 February 1998; the coolest is 14.17 on 7 June 1991.

1. Ages 9 to 12. Take the twelve monthly normals from the table and draw them as a bar chart with Python's turtle. Which month is the warmest, and which the coolest?
2. Teenagers, 13 to 15. Run Version 1 and Version 2 and write two sentences a fisherman could understand about why their answers for February disagree.
3. Ages 15 to 18. Change the baseline to 1981 to 2010. Do the 2026 differences grow or shrink, and what does that say about the choice of baseline?
4. University and adults. Repeat the analysis for Callao and Paita from the same file. IMARPE also publishes a separate anomaly dataset on the same platform: compare your own differences with theirs and explain any gap.

Time rules: Peru uses UTC minus five hours throughout the year and has had no clock change since 1994 according to the America/Lima zone of the tz database, with INACAL keeping the legal hour. India uses UTC plus five and a half hours with no seasonal change, so the difference never moves.

Adults in Chimbote often take a late-evening class after work; teenagers usually prefer late afternoon once secundaria is over; younger children learn more easily in the morning during the January to March holidays. You choose the hour in your own clock when you book, and it stays the same through the year because neither country changes its clocks.