Python Programming - Beginner to Advanced Course!

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Unlock the power of Python, one of the most versatile and in-demand programming languages. This course covers everything from fundamental concepts to advanced topics like OOP, file handling, web development, automation, and data processing. Whether you’re a beginner or looking to enhance your programming skills, this hands-on course will prepare you for real-world applications and career opportunities. 🚀

🛠 Module 1: Introduction to Python & Setup.

• What is Python? Why Learn Python?
• Installing Python & Setting up Development Environment
• Writing and Executing Python Code
• Python Syntax, Variables, and Data Types

🛠 Module 2: Control Flow & Functions.

• Conditional Statements (if, else, elif).
• Loops (for, while) and Iteration Techniques.
• Defining and Calling Functions.
• Lambda Functions and Recursion.

🛠 Module 3: Data Structures & Collections.

• Lists, Tuples, and Dictionaries.
• Sets and String Manipulation.
• List & Dictionary Comprehensions.
• Working with Iterators and Generators.

🛠 Module 4: Object-Oriented Programming (OOP) in Python

• Understanding Classes and Objects.
• Constructors and Magic Methods.
• Inheritance, Polymorphism, and Encapsulation.
• Working with Abstract Classes & Interfaces.

🛠 Module 5: File Handling & Exception Handling

• Reading & Writing Files (Text, CSV, JSON).
• Handling Errors and Exceptions in Python.
• Logging and Debugging Techniques.
• Using try, except, finally, and Raising Exceptions.

🛠 Module 6: Working with Databases & SQL in Python

• Connecting to Databases using SQLite & MySQL
• CRUD Operations in Python
• Using ORMs like SQLAlchemy
• Query Optimization and Performance

🛠 Module 7: Python for Web Development

• Introduction to Flask & Django Frameworks
• Building Web APIs with Flask/Django REST Framework
• Handling Requests & Responses
• Deploying Python Web Applications.

🛠 Module 8: Automation & Scripting.

• Automating Tasks with Python.
• Web Scraping with BeautifulSoup & Selenium.
• Working with APIs (REST & SOAP).
• Automating Emails, Excel & PDF Handling

🛠 Module 9: Data Science & Machine Learning Basics.

• Introduction to NumPy & Pandas for Data Handling.
• Data Visualization with Matplotlib & Seaborn.
• Basics of Machine Learning with Scikit-Learn.
• Building and Training ML Models.

🛠 Module 10: Deployment & Career Support.

• Packaging & Distributing Python Applications.
• Version Control with Git & GitHub.
• Python Interview Questions & Resume Preparation.
• Best Practices & Industry Tips.