Python Mastery

Course Overview

Python Programming Mastery (3-Week Intensive Course)

This course is your gateway to mastering Python, one of the most versatile and in-demand programming languages. Whether you’re a beginner or looking to enhance your skills, this course covers core concepts like variables, data structures, functions, and object-oriented programming, along with advanced topics like file handling and modules. Gain hands-on experience with real-world projects, and enjoy exclusive access to a free eBook packed with comprehensive material and exercises to reinforce your learning. Start your Python journey today and unlock endless possibilities in coding and beyond!

Week 1: Python Fundamentals & OOP

Python Basics (3-4 days)

1. Python syntax and environment setup
2. Data types, variables, operators
3. Control structures (if-else, loops)
4. Functions and error handling
5. Lists, dictionaries, sets
6. File handling basics

Object-Oriented Programming (3-4 days)

1. Classes and objects
2. Inheritance
3. Encapsulation
4. Method overriding
5. Practical OOP design patterns
6. Project: Build a simple class-based project (e.g., library management system)

Week 2: APIs, Web Development & Data Analysis

REST APIs and Requests (3-4 days)

1. HTTP methods (GET, POST)
2. Working with requests library
3. Authentication and API keys
4. JSON handling
5. Public API exploration (weather, stocks, etc.)
6. Project: Build a stock price tracker using financial APIs

Flask Web Development (2-3 days)

1. Setting up Flask
2. Basic routing
3. Creating simple web applications
4. Rendering templates
5. Handling form data
6. Project: Create a personal dashboard app

Web Scraping (2-3 days)

1. BeautifulSoup basics
2. Extracting data from websites
3. Handling dynamic content
4. Ethical scraping practices
5. Project: Real-time stock information aggregator

Week 3: Advanced Automation & Integration Project

Automation and Integration (4-5 days)

1. Combining APIs, web scraping, and Flask
2. Creating a full-stack stock tracking application
3. Fetch real-time stock data from APIs
4. Store and display data
5. Create visualizations
6. Add notification system
7. Deployment basics
8. Project: Stock Tracker Web App with:
9. Real-time stock prices
10. Price alerts
11. Historical data visualization
12. Simple user authentication

Additional Topics (1-2 days)

1. Basic data visualization (optional)
2. Error handling
3. Performance optimization
4. Deployment considerations

Tools and Technologies

1. Python 3.10+
2. Flask
3. Requests library
4. BeautifulSoup (optional for web scraping)
5. Pandas (optional for data manipulation)