Companion resources

The printed book contains the explanations, essential examples and exercises. Companion files make it easier to run and adapt the examples locally.

Answers and teaching resources

. Access may be required. Each activity link opens its matching answer and explanation. Instructor access is required; source ambiguities and validation evidence are recorded with each solution.

Choose a lesson

• Introduction
• Installation and Setup
• Python Interpreter
• First Programs
• IPython Interpreter
• Python Package Installation
• Python Basics
• Numbers
• Strings
• Variables
• Indentation, Semicolons, and Comments
• Input and Output
• Type Casting (Type Conversion)
• Boolean Values and Logical Expressions
• Operators in Python
• String Formatting Techniques
• Data Types and Collections
• Lists
• Tuples
• Sets
• Dictionaries
• Working with Nested Data Structures
• Control Flow
• Conditional Statements (if, elif, else)
• The match Statement
• While Loops
• For Loops
• Python Functions
• Function Arguments and Return Values
• Flexible Arguments: *args and kwargs
• Scope and Decorators
• Python Built-in Functions
• Lambda Functions, Recursion, and Generators
• Introduction to Modules
• The datetime Module
• The math Module
• The json Module
• The re (Regular Expressions) Module
• Python PIP
• The try and except Blocks
• Virtual Environment
• What Is OOP?
• Creating Classes and Objects
• Initializing Objects with __init__ and self
• Object Attributes and Methods
• Identity, State, and Behavior
• Instance and Class Members
• Instance and Class Attributes
• Instance and Class Methods
• Coding Challenge: Tracking Books Across All Libraries
• Structuring Code in OOP
• Inheritance
• Polymorphism
• Encapsulation
• Multiple Inheritance
• Composition: “Has-a” Relationships
• Abstract Classes
• Interfaces and Behavioral Contracts
• Introduction to UML
• Use Case Diagram
• Component Diagram
• Information or Data Model
• Model–View–Controller (MVC) Architecture
• Class Diagram
• Object Diagram
• From Diagram to Code
• “Is-a” and “Has-a” Relationships
• Activity Diagram
• Sequence Diagram
• Project: University Course System
• Introduction
• Specialized Data Structures
• Counting with Counter
• Grouping with defaultdict
• Lightweight Records with namedtuple
• Double-Ended Queues with deque
• Iteration Tools with itertools
• Priority Queues with heapq
• Categorical Data with Enum
• Summary and Coding Challenges
• File Handling & Serialization
• File Handling in Python
• File Serialization
• Error Handling
• Exercise 1 — Building a Safe Calculator (Input Validation + Specific Exceptions)
• Exercise 2 — Student Registration Validator (Raising & Custom Exceptions)
• Python Testing
• Unit Testing with unittest
• Unit Testing with pytest
• Concurrency & Parallelism
• The Global Interpreter Lock (GIL)
• Threads: Best for I/O-Bound Tasks
• Processes: Best for CPU-Bound Tasks
• Async I/O with asyncio
• Project: Parallel Word Counter
• APIs & Web Scraping
• Understanding HTTP
• HTML Basics
• Fetching and Parsing Online Data
• Ethics & Responsible Web Scraping
• Project: Fetch & Parse Real Website Data