📘 COMP218 Tutorial Index

Programming with Python · 10 Units

• ▶ Unit 1: Introduction to Programming with Python
  • Tutorial 1: The History of Computers
  • Tutorial 2: Basic Components of Modern Computers and Their Roles
  • Tutorial 3: Basic Principles of Modern Computers
  • Tutorial 4: Basics of Computability and Computational Complexity
  • Tutorial 5: Evolution of Modern Computer Construction
  • Tutorial 6: What Computer Systems Are Made Of
  • Tutorial 7: Computer Programming Languages
  • Tutorial 8: Python — Development, Features, and Advantages
  • Tutorial 9: Installing Python and Python IDEs
  • Tutorial 10: Getting Python and IDEs Running for Learning Activities
• ▶ Unit 2: Python Basics
  • Tutorial 1: Naming Rules and Conventions in Python
  • Tutorial 2: Basic Data Types and Data Models
  • Tutorial 3: A Detailed Guide to Python Operators
  • Tutorial 4: Expressions and Built‑in Functions
  • Tutorial 5: Assignment Statements
  • Tutorial 6: Augmented Assignment Statements
  • Tutorial 7: Getting User Input (input())
  • Tutorial 8: Outputting Data (print())
• ▶ Unit 3: Making Decisions in Python
  • Tutorial 1: The if Statement – Making a Single Decision
  • Tutorial 2: The if-else Statement – Two Paths, Two Outcomes
  • Tutorial 3: The if-elif Statement – Multiple Selective Checks (No Default)
  • Tutorial 4: The if-elif-else Statement – Complete Decision Trees
  • Tutorial 5: Combining Conditions with and / or (Bonus)
• ▶ Unit 4: Loops and Iteration in Python
  • Tutorial 1: Introduction to Iteration and the for Loop
  • Tutorial 2: The while Loop – Repeating Based on Conditions
  • Tutorial 3: Controlling the Flow – break and continue
  • Tutorial 4: Nested Loops and Advanced Patterns
  • Tutorial 5: Common Loop Patterns and Best Practices
  • Tutorial 6: Practical Coding Exercises (Challenges)
  • Tutorial 7: Common Errors and Debugging Loops
• ▶ Unit 5: Errors and Exception Handling in Python
  • Tutorial 1: Python Errors and Exceptions – The Fundamentals
  • Tutorial 2: Common Built‑in Exception Types
  • Tutorial 3: Handling Exceptions with try...except
  • Tutorial 4: Raising Exceptions with raise
  • Tutorial 5: Preventing Future Exceptions with assert
  • Tutorial 6: User‑Defined Exceptions
• ▶ Unit 6: Data Structures and File Handling in Python
  • Tutorial 1: An Introduction to Sequences in Python
  • Tutorial 2: Mastering Python Strings
  • Tutorial 3: Constructing and Formatting Strings with f-strings and .format()
  • Tutorial 4: Lists and Tuples – Understanding the Differences
  • Tutorial 5: Working with Sets and Dictionaries
  • Tutorial 6: File Handling – Text Files vs. Binary Files
  • Tutorial 7: Comprehensive Problem Solving with Data Structures
• ▶ Unit 7: Functions, Recursion, and Advanced Functional Programming in Python
  • Tutorial 1: What Are Functions? – The Concept of Functions in Python
  • Tutorial 2: Defining and Calling Functions – Start with def
  • Tutorial 3: The return Statement – Returning Values from Functions
  • Tutorial 4: Function Arguments in Depth – Positional, Keyword, and Variable-Length Arguments
  • Tutorial 5: Recursive Functions – Functions That Call Themselves
  • Tutorial 6: Anonymous Functions – Lambda Expressions
  • Tutorial 7: Higher‑Order Functions – map, filter, and reduce
  • Tutorial 8: Generators – yield and Lazy Evaluation
  • Tutorial 9: Closures – Functions That Remember Their Enclosing Scope
  • Tutorial 10: Decorators – Extending Functions Without Modifying Them
  • Tutorial 11: Functions as First‑Class Objects – Properties and Proper Use
• ▶ Unit 8: Object-Oriented Programming in Python
  • Tutorial 1: Introduction to Object-Oriented Programming (OOP)
  • Tutorial 2: Defining Classes and Using __init__
  • Tutorial 3: Creating and Using Objects and Instances
  • Tutorial 4: Using Subclasses and Superclasses Properly
  • Tutorial 5: Public, Protected, and Private Members
  • Tutorial 6: Class Attributes vs. Instance Attributes
  • Tutorial 7: Class Methods and Static Methods
  • Tutorial 8: Dunder (Magic) Methods
  • Tutorial 9: Using Class as a Decorator
  • Tutorial 10: The property() Function for Managed Attributes
  • Tutorial 11: The @property Decorator Syntax
• ▶ Unit 9: Modules and Packages in Python
  • Tutorial 1: Understanding Modules – The Building Blocks of Python Code
  • Tutorial 2: Understanding Packages – Organizing Modules into Directories
  • Tutorial 3: Importing Modules – Using the import Statement
  • Tutorial 4: Selective Imports – Importing Specific Parts of a Module
  • Tutorial 5: The Python Standard Library – Common Modules and Their Uses
  • Tutorial 6: Creating and Using Your Own Modules
  • Tutorial 7: Creating and Using Your Own Packages
• ▶ Unit 10: GUI Programming with Tkinter
  • Tutorial 1: Understanding Terminal‑Based vs. GUI‑Based Applications
  • Tutorial 2: Overview of Python Libraries for GUI Development
  • Tutorial 3: Tkinter Basics – Creating Your First GUI Window
  • Tutorial 4: Tkinter Widgets – A Comprehensive Overview
  • Tutorial 5: Tkinter Geometry Managers – Layout Your GUI
  • Tutorial 6: Event Handling and Callback Functions in Tkinter
  • Tutorial 7: Design and Implement a GUI for a Given Application – Temperature Converter
  • Tutorial 8: Develop a Complete GUI Application – Simple Text Editor
  • Tutorial 9: Advanced Tkinter Widgets and Features
  • Tutorial 10: The Themed Tkinter (Ttk) Module – Differences from Classic Tk