Welcome to the Python Programming Course! This course is designed to take you from beginner to intermediate level in Python, covering essential programming concepts, object-oriented programming, file handling, data manipulation using popular libraries, and logging techniques.
- Getting Started With VS Code
- Python Basics – Syntax And Semantics
- Variables In Python
- Basic Datatypes In Python
- Operators In Python
- Conditional Statements (if, elif, else)
- Loops In Python
- List And List Comprehension In Python
- Practical Examples Of List
- Sets In Python
- Dictionaries In Python
- Tuples In Python
- Getting Started With Functions
- More Coding Examples With Functions
- Python Lambda Function
- Map Functions in Python
- Filter Function In Python
- Import Modules And Package In Python
- Standard Library Overview
- File Operation In Python
- Working With File Paths
- Exception Handling
- Custom Exception Handling
- Classes And Objects In Python
- Inheritance In OOPS
- Polymorphism In OOPS
- Encapsulation In OOPS
- Abstraction In OOPS
- Magic Methods In Python
- Operator Overloading In Python
- Iterators In Python
- Generators In Python
- Function Copy, Closures and Decorators
- Numpy In Python
- Pandas – DataFrame And Series
- Data Manipulation With Pandas And Numpy
- Reading Data From Various Data Sources Using Pandas
- Logging Practical Implementation In Python
- Logging With Multiple Loggers
- Logging With A Real World Example
- Python 3.7+
- Visual Studio Code (Recommended)
- Basic understanding of programming (helpful but not mandatory)
- Clone this repository or download the code.
- Navigate through each topic folder or notebook.
- Run the code examples using VS Code or any Python IDE.
This course is suitable for:
- Beginners who want to learn Python step-by-step.
- Developers looking to strengthen their foundation.
- Data analysts and engineers entering the Python ecosystem.
Happy Learning! 🚀