Python

🐍 Python Programming Course Outline

🧾 1. Introduction to Python

• What is Python and why use it?

• Installing Python and setting up IDEs (VS Code, PyCharm, Jupyter)

• Writing your first Python script

• Python 2 vs Python 3 (focus on Python 3)

• Using the Python interpreter and pip

🔤 2. Python Basics

• Variables and data types

• Comments and indentation

• Type casting

• Taking user input and displaying output

• Basic operators (arithmetic, comparison, logical, bitwise)

🔁 3. Control Flow

• if, if-else, elif

• while and for loops

• Loop control: break, continue, pass

• List comprehensions and ternary operators

📦 4. Data Structures

• Lists and list methods

• Tuples and tuple operations

• Sets and set operations

• Dictionaries (dict) and methods

• Nested data structures

🧵 5. Functions and Modules

• Defining and calling functions

• Arguments: default, keyword, variable-length

• Return values

• Lambda functions

• Scope and global keyword

• Importing modules and from-import

• Creating user-defined modules and packages

🧰 6. File Handling

• Reading and writing files (open, read, write, with)

• Working with CSV and JSON files

• File and directory operations with os and shutil

🔐 7. Exception Handling

• Try-except block

• Multiple exceptions

• Finally block

• Raising exceptions

• Custom exceptions

🧬 8. Object-Oriented Programming (OOP)

• Classes and objects

• Constructor (__init__)

• Instance and class variables

• Inheritance and method overriding

• Encapsulation and abstraction

• super(), isinstance(), and issubclass()

🧪 9. Python Standard Libraries

• math, random, datetime

• os, sys, platform

• collections, itertools

• time and calendar

🌐 10. Working with External Libraries

• Installing packages with pip

• Popular libraries:

  • requests for HTTP requests

  • beautifulsoup4 for web scraping

  • pandas and numpy for data manipulation

  • matplotlib for data visualization

🧠 11. Advanced Python (Optional/Intermediate)

• Decorators and generators

• Iterators and iterable objects

• Regular expressions (re)

• *args and **kwargs

• List vs generator expressions

🚀 12. Real-World Projects and Applications

• To-do list app (console-based)

• Web scraper using BeautifulSoup

• CSV-based student management system

• Data visualization mini-project using matplotlib

• Simple calculator with GUI (Tkinter)