Pygame Pong
Classic Pong — two paddles, ball, score. First real game library.
Class 7 is the bridge year — from introductory Python into real software. Our 1 hour live classes cover school syllabus plus OOP basics, Pygame, sklearn with real CSVs and matplotlib.
At Class 7, the right tracks move past the basics. OOP, Pygame, sklearn — all live, 1 hour.
Zero to confident — functions, OOP, files, real mini-apps. The backbone track.
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Pandas, sklearn, neural nets — real AI projects with datasets.
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Arrays, trees, graphs, DP — solved in Python. Interview foundation.
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Build REST APIs with Flask — auth, databases, Postman tests.
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Turtle graphics, mini games, maths quizzes — real Python that still feels like play.
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Teachable Machine, image classifiers — first hands-on taste of AI.
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Pandas, NumPy, matplotlib, sklearn — the end-to-end data toolkit.
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Selenium, scripts, AI APIs — automate the boring stuff using Python.
View course →If your Class 7 student already writes functions fluently, skip basics and go into AI & ML or Flask backend. Free demo places them.
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By Class 7, a student can handle OOP, matplotlib, sklearn and Pygame in parallel. The range is new — and it matters for what comes in Class 8 and 9.
At Class 7, we no longer need to pick "just games" or "just AI". Students handle Pygame + sklearn in the same term comfortably.
The bank-account example lands at Class 7. Once classes click, every program becomes cleaner and more real.
Matplotlib plots. Pandas on tiny CSVs. Data vocabulary begins — and this is what college cares about later.
Each one designed for age 12 / Class 7 specifically — GitHub-worthy, finishable in 2–3 classes.
Classic Pong — two paddles, ball, score. First real game library.
Deposit, withdraw, balance methods. First real OOP example.
Classic iris dataset. Train/test split, accuracy, matplotlib viz.
10,000 rolls, distribution plot in matplotlib. Stats + code in one.
Python script that fetches weather or jokes from a public API.
Command-line todo app saved to JSON. Real software design.
Matched to school terms. Depth over hours.
Move beyond scripts. Classes with fields and methods. Simple inheritance. Bank account and pet classes.
Pygame basics. Pong, then brick breaker. Teaches the game loop properly.
Iris classifier. Dice stats chart. First real data workflow.
Fetching with requests. First GitHub repos with readme. Projects shared.
Same curriculum. Same teachers. Same recordings. The difference is whether your child learns best with one teacher's full attention, or alongside 4 to 6 classmates at their level.
One teacher, one learner, the full 1 hour. The teacher adapts pace in real time — slowing down on tricky concepts, speeding up where your child is already fluent. Best for focused learners, specific exam prep, or fastest progress.
4 to 6 students at a similar level, one teacher, 1 hour per session. Learners move faster when they see peers solve problems in different ways. Supportive, never pressured. Best if your child enjoys learning with others.
Grade-by-grade shift.
Three recent reviews from Class 7 families.
Class 7 CBSE. Daughter built a Pygame Pong and an iris classifier in the same term. The teacher switches between game, OOP and sklearn smoothly — no whiplash.
Group of 4 Class 7 Python kids. My son's GitHub has 4 repos now. His readme writing is also improving — the teacher corrects readmes, which I did not expect.
Picked 1-on-1. Teacher took my daughter straight to matplotlib and sklearn. She now visualises her own cricket-score dataset. First class that treats her as a real learner.
Short, plain answers. If your question isn't here, tap the callback button at the top and a human will get back to you the same day.
Fill the form. Our counsellor calls you within 3 hours, understands your child's pace, and schedules a real demo with a real teacher. No card, no commitment.