Python
Learn Python from first principles to real projects — beginner to confident coder.
A structured, all-levels Python programming course that takes learners from the very basics through data structures, functions, object-oriented programming and hands-on projects. The curriculum follows the official Python documentation and widely-used learning paths (python.org, W3Schools) and aligns closely with the Python pedagogy used in CBSE Computer Science (Classes 11-12), making it suitable for school students and self-learners alike. Note: this is a board-independent programming track; topics mirror standard authoritative Python curricula rather than a single exam board.
What you'll learn
- ✓Write, run and debug Python programs from scratch in IDLE/VS Code
- ✓Use variables, operators, strings and control flow to solve problems
- ✓Choose and manipulate the right data structure (list, tuple, set, dictionary)
- ✓Break problems into reusable functions and apply recursion
- ✓Read and write files and handle CSV/JSON data
- ✓Handle errors gracefully with exception handling
- ✓Design programs using classes, objects, inheritance and polymorphism
- ✓Build and present end-to-end mini-projects, including a data-driven one
Full syllabus
Mapped to the official Programming curriculum.
01Getting Started with Python+
- Installing Python and using the interpreter / IDE (IDLE, VS Code)
- Interactive mode vs script mode
- print() and basic output
- Comments and code readability
- Your first program
02Variables, Data Types and Operators+
- Variables and assignment
- Numbers (int, float, complex) and Booleans
- Type casting and type checking
- Arithmetic, comparison, logical, assignment operators
- Identity and membership operators
- Taking user input with input()
03Strings+
- Creating and indexing strings
- Slicing and immutability
- String concatenation and repetition
- Common string methods
- String formatting (f-strings, format())
- Escape sequences
04Control Flow+
- if / elif / else statements
- Nested and shorthand conditionals
- match-case statements
- while loops
- for loops and the range() function
- break, continue and pass
05Data Structures+
- Lists: indexing, slicing, methods, sorting
- List comprehensions
- Tuples and unpacking
- Sets and set operations
- Dictionaries and nested dictionaries
- Looping techniques over collections
06Functions+
- Defining and calling functions
- Parameters, arguments and return values
- Default, keyword, *args and **kwargs
- Scope: local vs global
- Lambda (anonymous) functions
- Recursion and an idea of efficiency
- Modular thinking and reusability
07Modules and Standard Library+
- Importing modules and packages
- math, random, statistics modules
- datetime and time
- Creating your own modules
- pip and installing third-party packages
- Brief tour of the standard library
08Input/Output and File Handling+
- Reading and writing text files
- File modes (r, w, a, r+)
- with statement and context managers
- Working with CSV files
- Introduction to JSON
09Errors and Exception Handling+
- Syntax errors vs runtime errors
- try / except / else / finally
- Catching specific exceptions
- Raising exceptions
- Debugging strategies
10Object-Oriented Programming+
- Classes and objects
- The __init__ method and self
- Instance attributes and methods
- Encapsulation and private members
- Inheritance and method overriding
- Polymorphism
- Special / dunder methods (__str__, __repr__)
11Working with Data (Intro Libraries)+
- Introduction to NumPy arrays
- Introduction to Pandas DataFrames
- Basic data analysis on CSV data
- Simple plotting with Matplotlib
- When and why to use libraries
12Projects and Applications+
- Console mini-projects (calculator, quiz, number game)
- Text/file processing automation script
- OOP-based application (e.g. bank/library/inventory manager)
- A small data-driven project using a CSV dataset
- Code organisation, testing and documentation
- Version basics and sharing your code
Tools you'll use
Exam pattern
Board-independent programming track, so there is no fixed external exam. Assessment is project- and practical-driven: roughly 60% hands-on coding assignments and projects, 40% concept checks/quizzes. For reference, in CBSE Computer Science (which uses Python) the board pattern is 70 marks theory + 30 marks practical.
Practical / project
Hands-on lab in every unit: learners code along in IDLE/VS Code and complete graded programming assignments. Culminates in multiple projects — console apps (calculator, quiz, game), a file-processing automation script, an OOP-based application, and a small data analysis project on a real CSV dataset using Pandas/Matplotlib. Mirrors CBSE-style practical work (program writing + project + viva).
Who it's for
School students (Class 8 and above), CBSE/ICSE/state-board Computer Science learners wanting a stronger Python foundation, and absolute beginners or self-learners of any age who want a structured path from basics to projects.
What's included
- ✓Live, interactive online Python classes with Kajal Ma'am — code along in real time on a shared screen
- ✓Chapter-wise notes and quick-reference cheat sheets for every Python concept (syntax, data structures, OOP)
- ✓Graded programming assignments after each unit, with line-by-line feedback on your code
- ✓Worked solutions to practice problems and reference programs for each topic
- ✓Regular one-on-one doubt-solving sessions to clear stuck points and debug your code
- ✓Hands-on lab in every unit (IDLE / VS Code / Jupyter) plus guided mini-projects
- ✓End-to-end project guidance: console apps, a file-automation script, an OOP application and a small data project
- ✓Practical and viva preparation modelled on CBSE-style program writing, project work and viva
Why study Python?
Python is the most important programming language in school Computer Science today — in CBSE Class 11-12 it powers the Computational Thinking and Programming unit, which carries roughly 40 of the 70 theory marks (about 57%) plus the bulk of the 30-mark practical. Learning Python properly, from first principles rather than by rote, builds the logical and problem-solving foundation that every later subject (data structures, databases, AI) depends on. Because the language is readable and beginner-friendly, it is one of the highest-scoring areas for students who genuinely understand it, and the same skills transfer directly to college, competitive coding and the workplace. This all-levels track is board-independent, so it suits CBSE, ICSE, GSEB and IGCSE students as well as complete beginners who want a structured path from basics to real projects.
Python is among the most widely used languages in industry, powering data science, machine learning and AI, web back-ends, automation and scientific computing. A strong Python foundation is directly useful for B.Tech/BCA/BSc Computer Science degrees and for roles such as software developer, data analyst, data scientist and ML engineer. The course's coverage of OOP, file handling and intro NumPy/Pandas/Matplotlib mirrors the exact starting point of real data and software work, without overstating that a single course guarantees a job.
Learn directly from Kajal Ma'am
An MCA who has taught computer subjects since 2006, Kajal Mehta personally mentors every batch — turning dense theory into clear, exam-ready understanding.
Course FAQs
Are the Python classes live or recorded?+
Is this a Group batch or One-to-One course, and how do the fees differ?+
Do I need any prior coding experience to join?+
Does this course align with the CBSE / ICSE Computer Science Python syllabus?+
Will I get help with practicals, projects and viva?+
Can I attend from outside India, and is a demo class available?+
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