CLI Todo with Classes
Task and Project classes, inheritance, JSON storage.
Class 8 is the turning point. Old enough for deep OOP, Flask APIs, real Kaggle datasets and DSA. Our 1 hour live classes build a GitHub portfolio that reads real.
At Class 8, the best Python courses use the same tools developers use daily — Flask, sklearn, pandas, Git.
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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Pandas, NumPy, matplotlib, sklearn — the end-to-end data toolkit.
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Selenium, scripts, AI APIs — automate the boring stuff using Python.
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LLMs, prompt engineering, embeddings — build with the AI stack of 2026.
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Deep learning, CV, NLP — college-level ML with projects.
View course →If your Class 8 student has deployed projects, skip review and go to AI & ML or Data Science. Free demo level check.
Looking for more? Browse the full courses catalogue →
A Class 8 student who likes Python starts side projects without being asked. Our job shifts from teaching to coaching.
At Class 8, most students bring ideas — a Discord bot, a weather app, a Twitter-style feed. We build skills around their ideas.
Class 8 is the right time for a real GitHub profile. By Class 10 it looks serious.
Proper project setup enters here — virtual environments, requirements files, proper readmes. Grown-up Python.
Each lives on GitHub with a readme.
Task and Project classes, inheritance, JSON storage.
First Flask app — routes, JSON endpoint, Postman test.
Real Kaggle dataset, linear regression, cross-validation.
CSV of IPL stats cleaned in pandas, charts in matplotlib.
Renames all photos in a folder by date taken. Real automation.
Full platformer with levels, sound, published to itch.io.
Paced around school. Depth not hours.
Deep OOP. Proper project setup with venv and requirements.txt.
Flask basics. Build a REST API. Test in Postman. Deploy to Render.
A real Kaggle dataset — full train/test, metrics, matplotlib viz.
Four projects with readmes on GitHub. A first merged PR to a small OSS project.
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.
| What to expect | Class 7 | Class 8 (this page) | Class 9 |
|---|---|---|---|
| OOP | Comfortable | Inheritance + polymorphism | Design patterns basics |
| Web | API client | Flask API | Flask + DB + auth |
| ML | Iris + charts | Kaggle regression | Kaggle + DL intro |
| Tools | VS Code | VS Code + Git + venv | Full workflow |
| GitHub | First repo | Active + PR | Sustained commits |
| Project scope | 3–5 classes | Multi-week | Month-long |
Three recent reviews.
Son is Class 8. He built a Flask API that his friends ping from their own scripts. At 13 he is explaining JSON to me. I feel outpaced.
Group of 4 Class 8 teens. Teacher runs weekly code reviews. My daughter's OOP design is surprisingly clean.
Moved from a recorded-video course. Huge difference. Live teacher asks "why did you write this loop?" — the questions shape thinking, not just knowledge.
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.