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Python for Kids · Class 10

Python Course for Class 10 Students

A project-based 36-week, 72-session Python programming curriculum for Class 10 students, progressing from clear coding foundations to a working year-end application.

36 weeksDuration
2 / weekSessions weekly
72 hoursTotal learning
Intermediate to AppliedLevel
A code editor window with a friendly python snake

Quick answer

The Class 10 Python program provides two one-hour coding sessions per week for 36 instructional weeks. Every module combines concepts, guided practice, debugging and a project, so learners develop working Python skills rather than merely replicating code.

Complete annual curriculum

9 modules × 8 sessions = 72 guided sessions

Select any module to read the full explanation—the big idea, the concepts unpacked, the session-by-session plan and the project students build.

A commit history line with a branch splitting and merging back
Module 1 · Sessions 1–8

Python Readiness Sprint

Board year. Time to make every habit count.

  • Core syntax
  • Git concepts
  • Code review
Project: Refactored multi-file utility
Explore this module →
Unsorted bars being rearranged into ascending order
Module 2 · Sessions 9–16

Algorithms and Complexity

Same answer, wildly different cost. Choosing well is engineering.

  • Search and sort
  • Big-O intuition
  • Trade-offs
Project: Algorithm comparison lab
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A blueprint of connected class boxes
Module 3 · Sessions 17–24

Object-Oriented Design

Good design is mostly deciding what each part is not responsible for.

  • Responsibilities
  • Composition
  • Design clarity
Project: Real-world domain model
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Messy data entering a funnel and leaving as clean records
Module 4 · Sessions 25–32

Data Engineering Basics

Real data is messy, incomplete and occasionally lying. Build for that.

  • CSV and JSON
  • Clean and validate
  • Transform pipeline
Project: Reusable data pipeline
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A database cylinder beside a table of records
Module 5 · Sessions 33–40

Database Applications

Design the tables well and the application almost writes itself.

  • Schema design
  • CRUD
  • Data integrity
Project: Student service database
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A browser window showing a multi-page web application
Module 6 · Sessions 41–48

Web Application Development

Multiple pages, real data, actual users. This is software now.

  • Server routes
  • Templates
  • Forms and sessions concept
Project: Multi-page Python web app
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A shield with a padlock and a passing test badge
Module 7 · Sessions 49–56

Testing and Security

The last two questions before shipping: does it work, and is it safe?

  • Unit tests
  • Validation
  • Secrets and permissions
Project: Application quality audit
Explore this module →
An AI chip connected to a Python code window
Module 8 · Sessions 57–64

AI-enabled Python

Adding AI to a product is easy. Adding it responsibly is the actual skill.

  • Model integration concepts
  • Structured outputs
  • Human checks
Project: Responsible AI feature prototype
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A rocket arcing from a laptop screen up to a cloud
Module 9 · Sessions 65–72

Portfolio and Deployment

Everything, finished, documented, deployed and defended.

  • Complete product
  • Documentation
  • Demo and viva
Project: Deployed capstone application
Explore this module →

Year-end outcome

A project the student can explain—not just display. By the end of the year, students can:

  • Define the problem or learning goal
  • Document important decisions and changes
  • Test the output and correct issues
  • Present the work and answer questions

Assessment approach

Progress across skills, projects and reflection. Reviews consider understanding, application, originality, accuracy, safety, debugging or verification, and the student's ability to explain their work.

  • Module practice and mini-projects
  • Mid-year review checkpoint
  • Portfolio documentation
  • Final capstone demonstration
Questions & answers

What families and schools ask

Is this Python curriculum suitable for a Class 10 beginner?
Yes. The first module establishes the required foundation, while projects and practice are adjusted to the learner's prior experience.
How many Python sessions are included?
Students complete 72 guided sessions across 36 instructional weeks, with two one-hour classes per week.
Will students build real projects?
Yes. Every module produces a small working artefact, and the year ends with a class-appropriate capstone that students explain and demonstrate.
Does my child need a laptop?
Regular access to a laptop or desktop is recommended for practice. Schools can also deliver the program through a suitable computer lab.

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