What are the best online coding and Python classes for Hurstville learners?
Live lessons where a real teacher shows learners why code works, not only how to type it. The 2021 Census counted 31,162 people in Hurstville, a median age of 33, and 11.6% of residents aged 20 to 24 against 6.1% across NSW. Classes run one to one or in level-matched small groups, and the first lesson is free.
Suppose a Hurstville class wants a random order for a quiz about local train stations. The first shuffle most people write loops through the list and swaps each item with any item at random. It looks fair. It is not. With four stations there are 256 equally likely ways that loop can run, but only 24 possible orders, and 256 does not divide evenly by 24, so some orders must turn up more often than others. Python's own random.shuffle uses a slightly different loop, the Fisher-Yates shuffle, which gives every order exactly the same chance. This page proves the difference with exact counting and a million-shuffle experiment.
Facts last verified 10 October 2026. Teaching is online; no Hurstville branch is claimed.
Each course reaches the shuffle idea at its own pace. The free trial decides the level, and booking needs no card.

First Python with games and random choices, the place where shuffling first appears.
See the syllabus
Complete Python for teenagers, including lists, loops and the random module done properly.
See the syllabus
Probability and statistics, so learners can prove a shuffle is fair rather than hope.
See the syllabus
Python from zero to advanced for adults, with testing and simulation throughout.
See the syllabusBrowse the course atlas for more than one hundred options and use the coding roadmap to check prerequisites.
The four we are known for
These run underneath everything above. Every one is live and online, placed by ability rather than by age, and the first class is free.

Python, web and AI projects where the learner still owns the thinking.
See the syllabus
Automate the work you already do, then let AI carry part of it.
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Train a model, read what it learned, and be able to say why it is wrong.
See the syllabus
Run AI coding agents on real work without losing control of the codebase.
See the syllabusCensus 2021 QuickStats for the Hurstville suburb against New South Wales and Australia.
| Headline | Hurstville |
|---|---|
| Residents | 31,162 |
| Families | 8,232 |
| Private dwellings | 11,976 |
| People per household | 2.8 |
| Measure | Hurstville | NSW | Australia |
|---|---|---|---|
| Residents aged 20 to 24 | 11.6% (3,606) | 6.1% | 6.2% |
| Flats or apartments among occupied homes | 61.4% (6,467) | 21.7% | 14.2% |
| Train to work on Census day | 13.3% (1,924) | 1.7% | 1.4% |
| Bachelor degree or higher, aged 15 and over | 38.1% (10,337) | 27.8% | 26.3% |
The median age was 33, and the 20 to 24 age group was almost double its share across the state.
Even on a lockdown Census day in August 2021, 1,924 employed residents went to work by train.
Of residents attending education, 28.4% were at university or other higher education, against 15.3% for NSW.
The bureau adjusts cells slightly to protect privacy, so pieces may not add up exactly. We use its own published totals and never add parts to make one.
Four stations, Hurstville, Penshurst, Mortdale and Oatley, are shuffled two ways. Because the lists are short, the computer can try every possible sequence of random choices and count exactly what comes out.
| Shuffle | Equally likely runs | Possible orders | Runs per order |
|---|---|---|---|
| Swap each item with any item | 256 | 24 | 8 to 15, uneven |
| Fisher-Yates | 24 | 24 | Exactly 1 each |
| Order | Runs out of 256 | Chance |
|---|---|---|
| Penshurst, Hurstville, Oatley, Mortdale | 15 | 5.86% |
| A fair shuffle, any order | 10.67 on average | 4.17% |
| Oatley, Hurstville, Penshurst, Mortdale | 8 | 3.13% |
The naive loop makes four choices of four, so 4 x 4 x 4 x 4 = 256 runs. Splitting 256 equally among 24 orders would need 10.67 each, which is impossible with whole runs.
It chooses from 4, then 3, then 2, then 1 remaining items: 4 x 3 x 2 x 1 = 24 runs, one for each order.
Hurstville itself lands in each of the four positions exactly 64 times in the naive shuffle, so a quick check of one item looks fine. The bias is in whole orders.
| Station, in its starting position | Naive shuffle | Fisher-Yates |
|---|---|---|
| Hurstville (1st) | 111,276 | about 111,000 |
| Penshurst (2nd) | 142,257 | about 111,000 |
| Mortdale (3rd) | 130,680 | about 111,000 |
| Riverwood (9th) | 86,901 | about 111,000 |
With nine stations a fair shuffle puts each one first about 111,111 times in a million. Fisher-Yates stayed between 110,656 and 111,493 for every station. The naive version favoured stations near the start of the list, and Penshurst led by more than 31,000. Every count above is our own calculation; the stations are simply names from Transport for NSW's published network.
The fair and unfair shuffles differ by one number in one line, which is exactly why this bug survives in real code.
| Version | Choice of partner at step i | Result |
|---|---|---|
| Naive | Any position from 0 to n minus 1 | Biased towards some orders |
| Fisher-Yates | Only positions from i to n minus 1 | Every order equally likely |
| Python built-in | random.shuffle(stations) | Fisher-Yates inside |
Learners write both versions, then write the exhaustive counter that tries every run, and only then compare their result with random.shuffle. The point is not to avoid the built-in; it is to understand it well enough to trust it, and to recognise the naive loop when an AI suggests it.
Shuffle four name cards with dice in both ways and tally which orders appear over a lesson.
Write the exact counter with itertools.product, then run a million-shuffle experiment and plot the bias.
See why fair shuffling matters in A/B testing, quiz platforms and any system where order should not decide outcomes.
Transport for NSW, NSW Spatial Services, Georges River Council, the NSW Department of Education and the statistics bureau provide the open data used here and have no connection with Modern Age Coders.
A few more facts from the state school file and the station counts.
The NSW Department of Education gives October 1876 as the date of the school's first teacher.
Hurstville South Public School followed in June 1915, according to the same file.
Transport for NSW counted 499,555 entries at Hurstville Station in August 2026.
The nine stations
Hurstville, Penshurst, Mortdale, Oatley, Beverly Hills, Allawah, Carlton, Kogarah and Riverwood stations all fall inside the Georges River council area when their mapped positions are tested against the bureau's boundaries.
The ages are a guide; the free trial decides the real start.
Block coding, simple games and chance experiments with dice.
Scratch Coding for KidsCoding for KidsPython games where randomness is used and then questioned.
Python and AI for KidsMaths Through CodingFull Python with simulation, testing and probability.
Python for TeensStatistics & ProbabilityPython for work, automation and data, with rigorous testing.
Python MasterclassPython Automation CourseBecause the unfair shuffle looks correct, passes casual tests, and is exactly the kind of code an AI can produce.
Ask an assistant for a shuffle and you may get the swap-with-anyone loop. It runs, it mixes the list, and if you only check where one item lands it looks perfect, as Hurstville's 64 runs in every position showed. The flaw shows up only when you count whole orders.
A student who has enumerated the 256 runs knows what to test and how. They replace the loop with random.shuffle, or check the AI's version against exact counts, and they apply the same suspicion to any code that claims to be random.
In 2026 the Hurstville learners who can test randomness will catch the bugs AI tools introduce, and that habit is built by writing and checking code themselves. The longer argument is in why teenagers should still learn to code in 2026.
A Hurstville learner joins from home and spends the full lesson coding, with no travel to a centre.
A computer with sound and a steady connection is all a lesson needs.
Lesson plans line up with NSW stages and break for the state school holidays.
A full class at no cost, ending with a recommended course and time.
Groups of fifteen to twenty at a matched level, or one to one.
Two set lessons weekly, about eight a month, with breaks agreed early.
A 4pm Hurstville lesson in summer is 10:30am India time; after daylight saving ends it is 11:30am there.
Daylight saving
Sydney moves its clocks forward on Sunday 4 October 2026 and back on Sunday 4 April 2027; India keeps the same time all year. Lesson times are always given in Sydney time.
Three figures make up the full price list.
The first lesson costs nothing and comes with a recommendation.
A month of group lessons, usually eight, with fifteen to twenty learners.
Roughly eight one-to-one lessons each month.
Outside India we bill in US dollars, so every suburb pays the same. Payment begins only after the trial, once the course and times are chosen; the pricing page explains holidays and missed lessons.
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Share an age and something the learner enjoys. A Year 5 child might start by making a random number game; a Year 10 student might start by finding the shuffle bug.
The questions Hurstville families and adult learners ask us most often.
The 2021 Census QuickStats for the Hurstville suburb record 31,162 residents, with a median age of 33.
The Fisher-Yates shuffle randomly orders a list by swapping each position with a randomly chosen position that has not yet been fixed. Each of the possible orders comes out with exactly the same probability, and Python's random.shuffle works this way.
With n items it creates n to the power n equally likely runs, which cannot be split evenly among the n factorial possible orders. For four items that is 256 runs over 24 orders, so some orders must come up more often.
Learners shuffle the names of Georges River stations two ways, count every possible run exactly for four stations, and run a million-shuffle experiment for nine. They see the naive method favour stations near the start of the list while Fisher-Yates stays even.
Both. The project teaches Python loops and lists alongside counting and probability, which is how real programmers check their code.
Yes. Beginners from age six start with block coding, and Python comes once they are reading and typing comfortably.
Yes. Adults learn Python for work, data and automation, one to one or in adult groups.
No. Every lesson is live online and we have no premises in Australia. The phone number on our site is Indian.
The first lesson is free. After that a group place costs USD 100 a month for two live lessons a week, about eight a month, with fifteen to twenty learners, or USD 150 a month one to one.
Between five and ten learners, matched by level and pace. One-to-one lessons are available if no group suits.
The Georges River page covers the whole council area, and Sutherland Shire has its own page to the south. For the city see the Sydney page, and for the state, coding and AI in New South Wales.