Python Beginner Workbook

This workbook is organized into 9 progressive learning units that guide beginners from basic computational thinking to building a complete Python project.

Table of Contents

• 1.1 What Is a Problem?
• 1.2 The Six-Step Method
• 1.3 Operators & Precedence
• 1.4 Algorithms & Pseudocode
• 1.5 Flowcharts
• 1.6 Debugging
• 1.7 Worked Examples
• 1.8 Key Terms & Exercises

• 2.1 Programs vs Software
• 2.2 Language Evolution
• 2.3 How Python Runs
• 2.4 Why Python?
• 2.5 IDLE & VS Code Setup
• 2.6 Libraries & Modules
• 2.7 Worked Examples
• 2.8 Key Terms & Exercises

• 3.1 Variables & Constants
• 3.2 All Five Operator Families
• 3.3 Primitive Types
• 3.4 Input, Casting & Type Conversion
• 3.5 Lists
• 3.6 Tuples
• 3.7 Dictionaries
• 3.8 Sets
• 3.9 Worked Examples
• 3.10 Key Terms & Exercises

• 4.1 if / elif / else
• 4.2 Nested Conditions
• 4.3 match-case
• 4.4 for Loops
• 4.5 while Loops
• 4.6 break, continue, pass
• 4.7 Nested Loops
• 4.8 List Comprehensions
• 4.9 Worked Examples
• 4.10 Key Terms & Exercises

• 5.1 Defining Functions
• 5.2 Parameters & Arguments
• 5.3 Return Values
• 5.4 Variable Scope
• 5.5 Recursion
• 5.6 Lambda & Higher-Order Functions
• 5.7 Worked Examples
• 5.8 Key Terms & Exercises

• 6.1 String Fundamentals
• 6.2 String Methods
• 6.3 String Formatting
• 6.4 Regular Expressions
• 6.5 datetime Module
• 6.6 Worked Examples
• 6.7 Key Terms & Exercises

• 7.1 Types of Errors
• 7.2 try / except / else / finally
• 7.3 Exception Hierarchy
• 7.4 raise & Custom Exceptions
• 7.5 finally & with
• 7.6 Worked Examples
• 7.7 Key Terms & Exercises

• 8.1 Reading Text Files
• 8.2 Writing Text Files
• 8.3 CSV Files
• 8.4 JSON Files
• 8.5 os & pathlib
• 8.6 Worked Examples
• 8.7 Key Terms & Exercises

• 9.1 Project Brief
• 9.2 Data Architecture
• 9.3 Building Each Feature
• 9.4 Full Solution
• 9.5 Testing Your Code
• 9.6 Extension Challenges
• 9.7 What Comes Next