Study Tracker (Pandas)
Pandas + matplotlib app logging study hours.
Class 10 is the board year. Our 1 hour live Python classes respect that — shorter, deeper sessions, paused during pre-boards. Board marks safe, one portfolio piece shipped.
Shorter, deeper classes that do not compete with board prep.
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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Pandas, NumPy, matplotlib, sklearn — the end-to-end data toolkit.
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Build REST APIs with Flask — auth, databases, Postman tests.
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Python, Pandas, SQL — exact IP syllabus, plus the practical prep.
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Selenium, scripts, AI APIs — automate the boring stuff using Python.
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Deep learning, CV, NLP — college-level ML with projects.
View course →If your Class 10 student is strong, skip review and go to DSA or AI & ML. Free demo.
Looking for more? Browse the full courses catalogue →
A Class 10 student who finishes the year with both board marks and real Python walks into Class 11 with identity.
1–2 sessions a week, full pause during mocks and pre-boards. School wins the calendar.
Stream choice becomes easier when the student has tried real Python.
Class 10 commits read differently from Class 12 commits. Longevity matters later.
Calibrated around the board year.
Pandas + matplotlib app logging study hours.
A small Django blog with admin panel. Deployed live.
sklearn text classifier. Real dataset, metrics explained.
Curated easy set in Python. Across the year.
Whatever the school asks — done properly.
Python script that builds flashcards from a text file. Used during boards.
Full pause during pre-boards and boards.
Clean, solid OOP recap. Pandas introduced deeply. School Python covered one week ahead.
Small Django blog with admin, deployed. Shipped before pre-boards.
No new content. On call for school doubts.
Real ML project and 50 DSA easy problems.
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.
Board year differences.
| What to expect | Class 9 | Class 10 (this page) | Class 11 |
|---|---|---|---|
| School load | Moderate | Board — heavy | Stream — heavy |
| Sessions / week | 2 | 1–2 | 2 |
| Main goal | Portfolio build | Portfolio + board | Stream depth |
| DSA | Arrays + strings | LeetCode easy 50 | Striver sheet |
| Web | Flask + Django | Django deployed | Full Django + DRF |
| ML | Full pipeline | NLP intro | DL + production |
Three recent reviews.
Class 10 CBSE. The programme paused during pre-boards. My son finished with 94% and a deployed Django blog. I was wrong to worry.
Her Java board score was 96 (ICSE) — Python was her extra. She built a Flutter-like script that helped her friends. Win-win.
One 1-hour class a week through the year. My son still solved 50 LeetCode problems and shipped a study tracker. Small and steady.
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.