Python 101 Basics of The Most Powerful Program in Computer Science

“Python 101: Basics of The Most Powerful Program in Computer Science” course. It is designed for beginners and includes fundamental concepts, hands-on projects, and quizzes to reinforce learning.

Course Title:

Python 101: Basics of The Most Powerful Program in Computer Science

Course Overview:

This course introduces Python programming from scratch. You will learn Python’s syntax, core programming concepts, and how to write efficient code. By the end of the course, you’ll be able to create simple scripts, automate tasks, and build basic programs.

Course Modules & Topics:

Module 1: Introduction to Python

• What is Python and why is it so popular?
• Installing Python (Windows, macOS, Linux)
• Setting up the development environment (VS Code, PyCharm, Jupyter Notebook)
• Running Python programs: Interactive mode vs. Script mode
• Your first Python program: “Hello, World!”

💡 Mini-Project: Create a basic Python script that prints user input.

Module 2: Python Basics – Syntax and Variables

• Python syntax rules and best practices
• Variables and data types (integers, floats, strings, booleans)
• Type conversion and type checking
• Commenting in Python (single-line and multi-line comments)
• Input and output in Python (print and input functions)

📝 Quiz: Identify errors in Python code snippets.

Module 3: Operators and Expressions

• Arithmetic operators (+, -, *, /, %, //, **)
• Comparison operators (==, !=, >, <, >=, <=)
• Logical operators (and, or, not)
• Assignment operators (+=, -=, *=, etc.)
• Order of operations (PEMDAS in Python)

💡 Mini-Project: Create a basic calculator in Python.

Module 4: Control Flow – Decision Making

• Conditional statements (if, elif, else)
• Nested conditionals
• Ternary operators in Python
• Handling user input with conditions

📝 Quiz: Debug common logical errors in Python conditions.

Module 5: Loops and Iterations

• While loops
• For loops and range()
• Nested loops
• Loop control statements (break, continue, pass)

💡 Mini-Project: Build a simple number guessing game.

Module 6: Functions and Modular Programming

• What are functions?
• Defining and calling functions
• Function arguments and return values
• The difference between local and global variables
• Lambda functions

💡 Mini-Project: Create a function-based temperature converter (Celsius ↔ Fahrenheit).

Module 7: Data Structures in Python

• Lists: Creation, indexing, slicing, and methods
• Tuples: Immutable sequences
• Sets: Unique collections
• Dictionaries: Key-value pairs
• List comprehension

📝 Quiz: Identify the correct data structure for different scenarios.

Module 8: Working with Strings

• String manipulation (concatenation, slicing, and formatting)
• Escape sequences
• String methods (upper(), lower(), replace(), split(), join(), etc.)
• f-strings and formatted output

💡 Mini-Project: Build a simple text-based password generator.

Module 9: File Handling

• Reading and writing text files
• Using the open() function
• Handling file exceptions
• Working with CSV files

💡 Mini-Project: Create a simple note-taking application.

Module 10: Introduction to Object-Oriented Programming (OOP)

• What is OOP?
• Classes and objects
• Attributes and methods
• Inheritance and polymorphism
• Encapsulation

💡 Mini-Project: Build a basic “Car” class with attributes and methods.

Module 11: Error Handling and Debugging

• Common Python errors and how to fix them
• Using try-except for error handling
• Debugging tools in Python
• Writing clean and readable code

📝 Quiz: Find and fix bugs in Python code.

Module 12: Working with External Libraries

• What are libraries and how to install them (pip and venv)
• Introduction to popular libraries:
  • math (for mathematical operations)
  • random (for random number generation)
  • datetime (for working with dates and time)
  • requests (for working with APIs)

💡 Mini-Project: Fetch data from a public API and display results.

Module 13: Introduction to Automation with Python

• What is automation and why is it useful?
• Automating file management tasks
• Using Python to send automated emails
• Automating repetitive tasks with scripts

💡 Mini-Project: Automate renaming multiple files in a folder.

Module 14: Final Project – Apply Your Knowledge

• Choose one of the following projects:
  1. Todo List Application: Create a simple app to add, delete, and view tasks.
  2. Web Scraper: Extract data from a website and display it in a formatted way.
  3. Basic Chatbot: Build a simple chatbot using conditionals and user input.

Course Extras

📌 Hands-on coding exercises
📌 Quizzes after every module
📌 Discussion forums for Q&A
📌 Final certificate upon completion

Target Audience:

✅ Complete beginners who want to learn Python from scratch.
✅ Students looking to build a strong programming foundation.
✅ Professionals looking to automate tasks or switch to programming.

This structure ensures a hands-on, project-based learning experience, making Python accessible and engaging for beginners.