India · 2026-27 curriculum
CBSE
15 lab practicals for the CBSE syllabus.
The 2026-27 CBSE curriculum for Computer Science 083 and Informatics Practices 065, in Python and SQL. Every lesson is stepped, compiled and checked by a real toolchain on your own machine — the model reviews your code afterwards, it does not decide whether you passed.
Updated
Semester by semester
Programme: Computer Science (083) and Informatics Practices (065), Classes XI-XII. Scheme: 2026-27 curriculum. Open a course to see its practical units and the lab lesson GroutCode ships for each.
Class 11
2 courses8 lab lessonsPythonSQL- CS083XIPython
Computer Science
5
lessons
- Finding Maximum and Minimum Numbers
- Patterns and Series with Nested Loops
- 1Finding Maximum and Minimum NumbersUnit 1 · Flow of control: conditionals and iteration
- 2Patterns and Series with Nested LoopsUnit 2 · Patterns and series with nested loops
- 3String Analysis ToolkitUnit 3 · Strings
- 4List Element Swapping and SearchUnit 4 · Lists and tuples
- 5Dictionary Character CounterUnit 5 · Dictionaries
- IP065XIPythonSQL
Informatics Practices
3
lessons
- Calculate Simple Interest
- Finding Extremes and Patterns in Lists
- 1Calculate Simple InterestUnit 1 · Python for everyday calculation
- 2Finding Extremes and Patterns in ListsUnit 2 · Lists and searching
- 3Student records table — create, fill, query and alter with SQLUnit 3 · SQL commands
Class 12
2 courses7 lab lessonsPythonSQL- CS083XIIPythonSQL
Computer Science
6
lessons
- Dice Roller Function
- Text file toolkit — write, read, count, seek and filter
- 1Dice Roller FunctionUnit 1 · Functions and exception handling
- 2Text file toolkit — write, read, count, seek and filterUnit 2 · Text files
- 3Binary File Operations with PickleUnit 3 · Binary files
- 4CSV User Authentication SystemUnit 4 · CSV files
- 5Implementing a Stack Using a ListUnit 5 · Stack
- 6Basic Student Table QueriesUnit 6 · SQL: queries on one and two tables
- IP065XIIPythonSQL
Informatics Practices
1
lesson
- SQL Aggregates and Grouping
- 1Pandas Series
- 2Pandas DataFrames
- 3SQL Aggregates and GroupingUnit 3 · SQL aggregate functions and grouping
The full 4-course syllabus is transcribed in the app, including the theory courses. Lessons are authored against the course codes that have practical work, and the list grows with each release.
GroutCode is not affiliated with or endorsed by CBSE. Course codes and titles are transcribed from the institution’s published scheme documents.
How a practical runs
The same five steps for every lesson, in every language.
- 1
Pick your syllabus
Choose your university or board and the semester or class you are in. The course list is the transcribed official scheme, not an approximation.
- 2
Open a lab lesson
Each lesson is a stepped practical for a specific course, with a starter file you edit and a test file you do not.
- 3
Write the code yourself
The starter has the signatures and the TODOs. You implement them in the editor, in the language your course actually uses.
- 4
Run the checks
The toolchain compiles and runs the tests — 8 to 15 of them across the lesson, one per step, so you find out which change broke what.
- 5
Get the review
Once the tests pass, the model reads your implementation and tells you the input that breaks it. It never reports the pass or fail itself.
Why the compiler grades, not the model
The obvious way to build an AI lab tool is to let the model read the student’s code and say whether it is correct. It is also the way that produces a tool nobody can trust. A model will tell you your code works when the compiler says otherwise, and it will fail you for a style it happens to dislike.
So the two jobs are split:
- The model designs the lesson, writes the starter and the tests, and — after the tests pass — reads what you actually wrote and tells you the input that breaks it.
- The toolchain decides whether it compiles and whether each step passes. That verdict is not negotiable and the model never issues it.
And why steps instead of one big task
A 40-to-60 minute practical with a single Run at the end gives a beginner one bit of feedback an hour, and it arrives after every decision has already been made. Each lesson here is 8 to 15 steps, each with its own instruction and its own check, so you find out which change broke what while you still remember making it.
Frequently asked questions
Does GroutCode cover the CBSE 2026-27 curriculum?
Yes. GroutCode ships the transcribed CBSE 2026-27 curriculum for Computer Science (083) and Informatics Practices (065), Classes XI-XII — 4 courses — with 15 authored lab lessons mapped to specific course codes. The syllabus was transcribed from the official documents, and the source and checksum of each one is recorded in the app.
Which languages do the CBSE practicals use?
Python (12 lessons), SQL (3 lessons). The language is set per course code rather than guessed from the title, because the same subject is taught in different languages at different institutions.
Does the AI just write the practical for me?
No. The starter file has the signatures and the TODOs; you implement them. The toolchain — not the model — decides whether your code compiles and whether each step passes, so the AI cannot tell you your code works when the compiler disagrees. What it does afterwards is read your implementation and point out the input that breaks it.
Do the practicals work offline?
The lessons, the syllabus and the test runner are bundled in the app and run locally, so the compile-and-check loop works with no connection. The review step at the end uses a model, which can be a local one or a cloud one with your own key.
What do I need installed?
GroutCode detects which toolchains are present on your machine and tells you what is missing and what would fix it. You need the compiler or interpreter for the language your course uses — a C compiler, a JDK, Python, Node or SQLite.
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