Python
Start Date: TBA
Duration: N/A weeks
Total Seats: N/A
Seats Left: N/A
Unlock the power of Python in just 3 months — from complete beginner to confident coder ready for real-world projects! This hands-on course takes you step-by-step through modern Python programming, building strong foundations and practical skills you can apply immediately. What makes this course different: → Clear, structured progression with weekly modules and mini-projects to reinforce every concept → Focus on writing clean, readable code following Python best practices → Real mini-projects along the way (games, tools, apps) to keep things fun and practical → Culminates in a **15-day intensive capstone project** — build your own complete application (console or simple web/GUI) from planning to polish, documentation, and presentation Perfect for: - Absolute beginners with zero coding experience - Career switchers wanting to enter tech, automation, data, or web development - Students or professionals who want to automate tasks, analyze data, or build personal projects By the end, you'll be comfortable with: - Core syntax, data types, control flow, functions, and modules - Powerful data structures (lists, dicts, sets, JSON, files) - Object-oriented programming basics - Error handling, debugging, and modular code organization - Building and presenting a substantial final project No prior programming knowledge required
Who this course is for
- Absolute beginners with no prior coding experience
- Career switchers looking to enter tech, automation, data analysis, or software development
- Students or recent graduates wanting to build practical programming skills and a strong portfolio project
- Professionals from non-tech fields (e.g., finance, science, marketing, business) who want to automate repetitive tasks or analyze data
- Anyone curious about programming who prefers a clear, structured path with hands-on mini-projects and a real-world capstone
- Self-learners tired of scattered tutorials and ready for guided progression over 3 months
What you’ll learn
- Build a strong foundation in Python programming from absolute zero to intermediate level
- Write clean, readable, and well-organized code following Python best practices (PEP 8)
- Master core concepts: variables, data types, operators, strings, and f-strings
- Control program flow confidently using if/elif/else, loops (for/while), break/continue
- Work fluently with essential data structures: lists, tuples, sets, dictionaries, and nested structures
- Use list comprehensions, lambda functions, map/filter, and other functional tools efficiently
- Create modular, reusable code with functions, parameters (*args/**kwargs), modules, and imports
- Handle files (text, CSV, JSON), read/write data, and manage persistence in real applications
- Understand and apply basic Object-Oriented Programming: classes, objects, inheritance, encapsulation
- Catch and handle errors gracefully with try/except/else/finally blocks
- Debug code effectively and organize larger projects with proper structure and virtual environments
- Complete a substantial capstone project from planning → implementation → testing → documentation
- Present and explain your final project with confidence (great for portfolios or interviews)
- Gain practical experience through mini-projects that simulate real-world tasks
- Feel ready to tackle automation scripts, data tools, simple web apps, or continue to advanced topics
Course Structure
- Introduction to programming and why Python
- Installing Python + VS Code / PyCharm setup
- First program: Hello World, print(), basic input()
- Variables, data types (int, float, str, bool)
- Basic operations and type conversion
- String methods and formatting (f-strings)
- Comments, PEP 8 style guide basics
- Comparison operators and boolean logic
- if, elif, else statements
- Nested conditionals and logical operators (and/or/not)
- while loops and infinite loop prevention
- for loops and range()
- break, continue, pass statements
- Mini-project: Simple number guessing game
- Lists: creation, indexing, slicing, methods (append, extend, pop, remove)
- List comprehensions (basic to intermediate)
- Tuples: immutability, unpacking
- Sets: unique elements, set operations (union, intersection, difference)
- Dictionaries: key-value pairs, accessing, updating, looping
- Mini-project: To-do list manager (add/remove/view tasks)
- Defining functions, parameters, return values
- Default arguments, *args, **kwargs
- Scope: local vs global variables
- Lambda functions and higher-order functions (map, filter)
- Recursion basics (factorial example)
- Organizing code: modules and import statements
- Mini-project: Expense tracker with functions
- Nested data structures (list of dicts, dict of lists)
- Working with JSON: json module, load/dump
- Reading and writing text files (open, read, write, with statement)
- CSV handling with csv module
- Error handling: try/except/else/finally, common exceptions
- Mini-project: Contact book (save/load from file or JSON)
- Classes and objects: __init__, attributes, methods
- Instance vs class variables
- Inheritance and super()
- Encapsulation: public/private attributes (naming convention)
- Magic methods: __str__, __repr__, __len__
- Simple polymorphism example
- Mini-project: Library management system (Book & Library classes)
- Project planning & requirements gathering
- Setting up project structure (folders, virtual environment, requirements.txt)
- Core development – part 1 (data models, CRUD operations)
- Core development – part 2 (business logic, file/JSON/database integration)
- Adding user interface (console menu or basic Tkinter / Flask web)
- Input validation, error handling & logging
- Testing & debugging (manual + basic unit tests with unittest/pytest)
- Documentation: README.md, inline comments, usage instructions
- Final polish: refactoring, code cleanup, presentation prep
- Project submission & self-review
Instructor
Vansh Thakur
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