The Practical File

Part C of Artificial Intelligence asks for a practical file with at least 15 programs, worth 15 marks. Here are fifteen: the 8 programs the curriculum itself suggests, and 7 more built on examples from the CBSE AI handbook. Every output was produced by running the program.

Download the whole practical file

📒All 15 programs with outputOne PDF — index, aim, program and output for each 📦All 15 programs + data.zip — run them yourself in Python or Jupyter

1What the curriculum asks

The 2026-27 curriculum gives Part C 50 marks. The practical file is 15 of them, the practical examination another 15, and a viva 5. The practical examination covers Statistical Data, Computer Vision, NLP and Advance Python — the same ground as these programs — so writing the file is also the best preparation for the exam.

The curriculum lists eight suggested programs. All eight are here, marked curriculum. The other seven practise what the CBSE AI handbook teaches — statistics, pixels, convolution, text normalisation, Bag of Words, TFIDF and the confusion matrix — and several reproduce the handbook's own worked examples, so you can check your answers against the book.

2How to set out each program

1Aim

The question, written as the first line of the page.

2Program

The code, written neatly — every line, with a comment where it helps.

3Output

What the program printed, and any chart it drew — your own run, not a copy.

Start the file with an index: program number, aim, page number, date, and a column for your teacher's signature. The PDF has that index already laid out, and blank lines for your name, class and school on the cover and certificate.

Watch Out

These programs are for reference and self-learning. Type each one yourself, run it, and copy your own output into the file. Change something — the marks, the points, the sentences — so the program is yours. In the viva you will be asked what each line does, and every program page here has those questions.

3Setting up Python

The curriculum's Advance Python unit uses Jupyter Notebook. The simplest way to get it is to install Anaconda, which brings Python, Jupyter, NumPy, pandas and Matplotlib together. The image programs also need OpenCV; open the Anaconda Prompt (or any command prompt) and run:

pip install numpy pandas matplotlib opencv-python

Programs 6 and 7 read penguins.csv, and programs 8 to 11 read photo.jpg. Both come in the zip; keep them in the same folder as the programs.

4The fifteen programs

No.	Program	Topic	Source
1	Add the Elements of Two Lists	Python & NumPy	curriculum
2	Mean, Median and Mode with NumPy	Python & NumPy	curriculum
3	Variance, Standard Deviation and Outliers	Python & NumPy	handbook
4	A Line Chart from (2, 5) to (9, 10)	Charts with Matplotlib	curriculum
5	A Scatter Chart of Five Points	Charts with Matplotlib	curriculum
6	Read a CSV File and Display 10 Rows	Data with pandas	curriculum
7	Read a CSV File and Display Its Information	Data with pandas	curriculum
8	Read an Image and Display It	Computer Vision	curriculum
9	Read an Image and Identify Its Shape	Computer Vision	curriculum
10	Grayscale and RGB Images	Computer Vision	handbook
11	The Convolution Operator	Computer Vision	handbook
12	Text Normalisation	Natural Language Processing	handbook
13	Bag of Words	Natural Language Processing	handbook
14	TFIDF	Natural Language Processing	handbook
15	Confusion Matrix and Evaluation Metrics	Evaluation	handbook

1. Add the Elements of Two Lists ➕