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Python Full Course
A Comprehensive Beginner to Advanced Guide
Course Topics
| 1. Introduction to Python Learn More | |
| Overview of Python, its history, features, installation, and setting up the development environment (IDLE, Jupyter Notebook). | |
| 2. Basic Syntax and Data Types Learn More | |
| Variables, data types (int, float, str, bool), type conversion, basic operators, and input/output operations. | |
| 3. Control Structures Learn More | |
| Conditional statements (if, elif, else), loops (for, while), break, continue, and pass statements. | |
| 4. Data Structures Learn More | |
| Lists, tuples, sets, and dictionaries – operations, methods, comprehensions, and practical applications. | |
| 5. Functions Learn More | |
| Defining functions, parameters, return values, lambda functions, scope, and recursion. | |
| 6. Object-Oriented Programming Learn More | |
| Classes, objects, inheritance, polymorphism, encapsulation, abstraction, and special methods. | |
| 7. File Handling Learn More | |
| Reading from and writing to files, working with CSV and JSON files, and exception handling. | |
| 8. Modules and Packages Learn More | |
| Importing modules, standard library overview (math, random, datetime), creating custom modules. | |
| 9. Advanced Topics Learn More | |
| Iterators, generators, decorators, context managers, regular expressions, and multithreading basics. | |
| 10. Libraries and Frameworks Learn More | |
| Introduction to popular libraries: NumPy, Pandas, Matplotlib for data analysis; Flask/Django for web development. | |
| 11. Projects and Best Practices Learn More | |
| Building real-world projects, code organization, debugging, testing, and version control with Git. |
