This Python Course with 50 Projects – From Zero to Expert is a complete, hands-on journey designed to take you from absolute beginner to confident Python developer. The outline is structured into 15+ modules covering core programming concepts, data types, conditionals, loops, functions, OOP, and error handling, all reinforced with real-world projects. You’ll practice Python by building calculators, games, automation tools, data science mini-projects, and even a Flask web application with database integration. With a strong mix of theory and 50 practical projects, this course ensures you gain not only coding knowledge but also the portfolio-ready skills employers look for.
What You’ll Learn
- Write clean and efficient Python code from beginner to advanced level.
- Understand data types, conditionals, loops, functions, OOP, and error handling with ease.
- Build 50 hands-on projects ranging from calculators and games to automation and web apps.
- Apply Python to real-world scenarios, such as data analysis, web scraping, file handling, and API development.
- Master comprehensions, generators, decorators, and modules to optimize your code.
- Work on beginner, intermediate, and final projects to reinforce practical knowledge.
- Explore the basics of data science with NumPy, Pandas, and foundational machine learning concepts.
- Create a Flask web project with database integration and dynamic routes.
- Develop the confidence to tackle coding interviews and build portfolio-ready projects.
- Become a job-ready Python developer with project-based learning.
Course Content:
Module 1 – Introduction & Basics
- Course Introduction
- Writing Your First Program in Python
- Exploring Real-World Examples of Python Code
- Why Python is a Preferred Language
- Core Concepts of Python and Programming
Module 2 – Data Types
- Understanding Mutable vs Immutable Objects
- In-Depth Look at Numbers, Booleans, and Operators
- Project – 1: Playing with Numbers
- Working with Strings: Indexing, Slicing, Encoding
- Project – 2: Swapping Temperature
- Basics of Lists in Python
- Operator Overloading and Bytearrays
- Project – 3: Shopping List
- Sets and Frozensets
- Project – 4: Managing Store Inventory
- Dictionaries in Action
- Project – 5: Customer Profile Management
Module 3 – Conditionals
- Project – 6: Customer Discount Eligibility
- Project – 7: Restaurant Billing System
- Project – 8: Coffee Price Calculator
- Project – 9: Loan Eligibility Checker
- Project – 10: Age Verification System
- Applying Conditional Statements in Python
Module 4 – Loops
- Introduction to Iterations in Python
- Project – 11: Token Dispenser Machine
- Project – 12: Generate Multiplication Table
- Project – 13: Task Completion Tracker
- Project – 14: Student Scores Report
- Project – 15: ATM Withdrawal Simulator
- Break, Continue, and Loop Control Statements
- Project – 16: Parcel Scanning System
- Mastering Loops in Python
Module 5 – Functions
- Functions for Code Reuse and Simplification
- Exploring Advanced Features of Functions
- Project – 17: Student Grading System
- Scope and Namespace in Functions
- Project – 18: Loyalty Points Tracker
- Handling Arguments in Functions
- Project – 19: Order Invoice Generator
- Lambdas, Pure vs Impure Functions
- Project – 20: Function Types
- Documenting and Using Built-in Functions
- Python Imports, Modules, and the Init File
Module 6 – Comprehensions
- List, Set, and Dictionary Comprehensions
- Generator Comprehensions for Memory Efficiency
- Project – 21: Smart Inventory Filter
- Applying Comprehensions in Python
Module 7 – Generators & Decorators
- Creating Generators with Yield
- Sending Values to Generators
- Project – 22: Smart Token Dispenser
- Understanding Decorators
- Project – 23: Build a Logger with Decorator
- Project – 24: Build an Authorization Decorator
- Project – 25: Caching Expensive Calculations
Module 8 – Object Oriented Programming
- Creating Classes and Objects
- Understanding Namespaces and Attributes
- Constructors and Init Method
- Project – 26: Smart Home Device Tracker
- Inheritance vs Composition
- Project – 27: Vehicle Rental System
- Static and Class Methods
- Property Decorators (Getter & Setter)
- Understanding OOP Concepts in Python
Module 9 – Exception Handling
- Introduction to Error and Exception Handling
- Try, Except, Else, Finally Blocks
- Raising and Creating Custom Errors
- Project – 28: Mini Project with Exception Handling
- File Handling with Exceptions
Module 10 – Beginner Projects
- Project – 29: Self-Intro Script Generator
- Project – 30: Simple Bill Splitter
- Project – 31: Daily Learning Journal Logger
- Project – 32: Password Strength Checker
- Project – 33: Friendship Calculator
Module 11 – Intermediate Projects
- Project – 34: CSV Powered Contact Book
- Project – 35: Student Marks Analyzer
- Project – 36: Personal Movie Tracker with JSON
- Project – 37: Graph with Matplotlib
- Project – 38: Secure Offline Password Vault
Module 12 – Web Scraping & Automation
- Project – 39: Scraping Wiki Headings
- Project – 40: Save Hacker News in CSV
- Project – 41: Multi-page Data Scraping
- Project – 42: Crypto Price Tracker with Graphs
- Project – 43: Store and Search in SQLite DB
Module 13 – File & System Utilities
- Project – 44: File Organiser
- Project – 45: Trip Photos Organizer
- Project – 46: Watchdog for Monitoring Events
- Project – 47: System Monitoring Software
Module 14 – Data Science & ML Basics
- Introduction to Anaconda and Jupyter Notebooks
- Working with NumPy and Pandas
- Project – 48: Linear Regression Project
- Project – 49: Salary Prediction Project with Streamlit
Module 15 – Flask Project
- Introduction to Flask & App Structure (app.py, virtual env, run/debug)
- Routing Basics (@app.route, URL params, methods: GET/POST)
- Templates & Jinja2 (blocks, inheritance, filters)
- Static Files (CSS/JS/images) and template organization
- Forms Handling (request.form), validation intro (WTForms optional)
- Working with a Database (SQLite/SQLAlchemy setup & CRUD patterns)
- Blueprints & Modular App Structure
- Configuration & Environment Variables (.env, config classes)
- Error Handling & Custom Error Pages (404/500)
- Flash Messages & Sessions
- Logging & Basic Security Considerations
- Deployment Basics (gunicorn/uwsgi, Nginx, Render/Railway/Heroku-style)
- Project – 50: URL Shortener Web App (with Flask, DB & Templates)
Who this course is for:
- Beginners who want to learn Python from scratch
- Students transitioning from other languages to Python
- Professionals looking to strengthen their Python fundamentals
- Anyone interested in building real-world Python projects and learning by doing
- Learners preparing for technical interviews or Python-based roles
International Student Fees: USD 300$
Job Interview Preparation (Soft Skills Questions & Answers)
Tough Open-Ended Job Interview Questions
What to Wear for Best Job Interview Attire
Job Interview Question- What are You Passionate About?
How to Prepare for a Job Promotion Interview
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Flexible Class Options
Weekend Classes For Professionals SAT | SUN
Corporate Group Training Available
Online Classes – Live Virtual Class (L.V.C), Online Training
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