Six units covering everything from first programs to production systems — with theory, worked examples, comparison tables, exam tips, practice questions and full solutions. Each unit is a self-contained HTML file you can open, print, or study offline.
Mark units as done as you complete them. Progress is saved on this device.
Click Open Unit to read the notes. Each file is fully self-contained — no internet needed after the first load.
Set up Python and the IDE, learn the language syntax, master variables and data types, then build control flow with conditionals and both loop types. Ends with strings, lists, slicing and indexing.
Deep dive into Python's core data structures, function design with parameters, arguments and recursion, the four pillars of object-oriented programming, file handling and regular expressions.
Professional Python patterns: decorators, generators, iterators, context managers, the collections module, classic data structures and algorithms, structured data formats, GUI programming, and scientific computing.
Design patterns, three concurrency models (threads, processes, async), raw sockets, HTTP and REST APIs, web scraping with requests and BeautifulSoup, pandas data analysis, and an introduction to machine learning with scikit-learn.
From metaprogramming and performance tuning to building production web services with Flask and FastAPI, containerising with Docker, testing at scale, and shipping securely to the cloud with observability and CI/CD.
Graph and string algorithms, large-scale data frameworks, PyTorch and deep learning, LLM APIs and RAG, GraphQL and gRPC, property-based testing, system design, and interview preparation for software engineering roles.
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The six COs as defined in the INT108 syllabus — mapped across all units.
Describe the installation of the Python environment and the basics of the Python language.
Unit IApply conditional and iterative statements for evaluating the appropriate alternates.
Unit IExplore functions, including recursion, with parameters and arguments in Python.
Unit IIConstruct core data structures — lists, dictionaries, tuples and sets — to store, process and sort data.
Unit IIApply object-oriented programming concepts: encapsulation, polymorphism and inheritance.
Unit IIExamine file handling operations and apply regular expressions for pattern matching.
Unit IIHow the course is evaluated across the semester.
| Component | Full Form | Marks | Focus |
|---|---|---|---|
| ATT | Attendance | 5 | All units |
| CA | Continuous Assessment | 50 | Lab + Assignments + Quizzes |
| ETP | End-Term Practical | 45 | Coding + Viva + Project |
INT108 is a skill-development course — the CA carries 50 marks, so lab work, assignments and quizzes matter more here than in a theory course. Type every example, complete every lab exercise, and practice writing small programs from scratch. For the ETP, focus on Units I–III for coding questions and prepare a short project demo from Units IV–VI.
A quick suggested workflow for studying the course efficiently.
Units I → VI build on each other. Reading sequentially prevents gaps in understanding.
Don't just read the code — retype it in your Python interpreter. Muscle memory beats re-reading.
Before the exam, revise only the summary tables, code snippets and exam tips at the end of each unit.
Each unit ends with graded practice questions and full solutions. Attempt before reading the solutions.
Every unit has print rules built in — use Ctrl + P and choose "Save as PDF" for a clean A4 layout.
Click "Mark done" on each card as you finish a unit. Progress is saved in your browser's local storage.
The textbooks, reference books and online materials listed in the official syllabus.
Fundamentals of Python — First Programs
Kenneth A. Lambert · Cengage Learning
Python Programming: Using Problem Solving Approach
Reema Thareja · Oxford University Press
Web Resources
datacamp.com · w3schools.com · coursera.org · nptel.ac.in
Software
python.org/downloads · anaconda.org/anaconda/python