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
Vansh Thakur is a software engineer and educator passionate about making technology approachable for everyone. With hands-on experience across Python, C++, web development, and AI applications, he brings real-world context to every lesson. His teaching style focuses on clear structure, practical projects, and building genuine confidence.
FAQs
Do I need any prior coding experience?
No experience is needed. This course starts from absolute zero and builds up step by step.
What software do I need?
Python 3 and a free code editor like VS Code. Full setup instructions are provided on the first day.
How much time should I set aside each week?
We recommend 8–10 hours per week, including lessons, exercises, and mini-projects.
Will I receive a certificate?
Yes, students who complete all modules and submit the capstone project receive a certificate of completion.
What if I fall behind on the schedule?
All materials remain accessible throughout the course. You can catch up at your own pace.
Is the capstone project mandatory?
The capstone is strongly encouraged as it brings everything together, but it is not a strict attendance requirement.
Can I get help if I am stuck?
Yes. You can ask questions during live sessions and through the course community channel between classes.
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