2 Chapter 2: Setting Up Python

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• ☰ 1 Chapter 1: What Is Programming?
  • ☰ 1.1 What is a computer program?
  • ☰ 1.2 What is Python?
  • ☰ 1.3 Where is Python used?
  • ☰ 1.4 How programming helps solve problems
  • ☰ 1.5 Your first Python program
• ☰ 2 Chapter 2: Setting Up Python
  • ☰ 2.1 Installing Python (Windows / macOS / Linux)
  • ☰ 2.2 Using Python in the terminal
  • ☰ 2.3 Using an IDE (IDLE / VS Code)
  • ☰ 2.4 Running Python scripts
  • ☰ 2.5 Python interactive mode
• ☰ 3 Chapter 3: Variables and Data Types
  • ☰ 3.1 What is a variable?
  • ☰ 3.2 Creating variables
  • ☰ 3.3 Numbers
  • ☰ 3.4 Test
  • ☰ 3.5 Boolean values
  • ☰ 3.6 Type checking
• ☰ 4 Chapter 4: Basic Operations
  • ☰ 4.1 Arithmetic operations
  • ☰ 4.2 Working with numbers
  • ☰ 4.3 String operations
  • ☰ 4.4 Combining text and variables
  • ☰ 4.5 Comments in Python
• ☰ 5 Chapter 5: User Input and Output
  • ☰ 5.1 Getting input from the user
  • ☰ 5.2 Converting input to numbers
  • ☰ 5.3 Formatting output
  • ☰ 5.4 Writing interactive programs
• ☰ 6 Chapter 6: Conditions
  • ☰ 6.1 Comparison operators
  • ☰ 6.2 Logical operators
  • ☰ 6.3 if, elif, else
  • ☰ 6.4 Nested conditions
  • ☰ 6.5 Common beginner mistakes
• ☰ 7 Chapter 7: Loops
  • ☰ 7.1 Why loops are useful
  • ☰ 7.2 for loops
  • ☰ 7.3 while loops
  • ☰ 7.4 Loop counters
  • ☰ 7.5 break and continue
  • ☰ 7.6 Loop exercises
• ☰ 8 Chapter 8: Data Collections
  • ☰ 8.1 Lists
  • ☰ 8.2 Tuples
  • ☰ 8.3 Dictionaries
  • ☰ 8.4 Sets (basics)
  • ☰ 8.5 Choosing the right data structure
• ☰ 9 Chapter 9: Functions
  • ☰ 9.1 Why functions matter
  • ☰ 9.2 Defining functions
  • ☰ 9.3 Parameters and arguments
  • ☰ 9.4 Return values
  • ☰ 9.5 Scope (local vs global)
  • ☰ 9.6 Reusing code
• ☰ 10 Chapter 10: Working with Files
  • ☰ 10.1 What is a file?
  • ☰ 10.2 Reading text files
  • ☰ 10.3 Writing and appending files
  • ☰ 10.4 File paths
  • ☰ 10.5 Simple file-based programs
• ☰ 11 Chapter 11: Errors and Debugging
  • ☰ 11.1 Types of errors
  • ☰ 11.2 Reading error messages
  • ☰ 11.3 Common beginner errors
  • ☰ 11.4 try and except
  • ☰ 11.5 Debugging strategies
• ☰ 12 Chapter 12: Using Python Libraries
  • ☰ 12.1 What is a library?
  • ☰ 12.2 Importing modules
  • ☰ 12.3 Standard libraries
    • ☰ 12.3.1 math
    • ☰ 12.3.2 random
    • ☰ 12.3.3 datetime
  • ☰ 12.4 Installing external libraries with pip
• ☰ 13 Chapter 13: Object-Oriented Programming
  • ☰ 13.1 What is object-oriented programming?
  • ☰ 13.2 Classes and objects
  • ☰ 13.3 The `__init__` method
  • ☰ 13.4 Attributes and methods
  • ☰ 13.5 Encapsulation
  • ☰ 13.6 Inheritance (basics)
  • ☰ 13.7 Simple OOP examples
• ☰ 14 Chapter 14: Automation with Python
  • ☰ 14.1 What is automation?
  • ☰ 14.2 Automating simple tasks
  • ☰ 14.3 Working with files and folders
  • ☰ 14.4 Automating text processing
  • ☰ 14.5 Scheduling scripts
  • ☰ 14.6 Practical automation examples
• ☰ 15 Chapter 15: Web Development with Python
  • ☰ 15.1 How the web works (basic overview)
  • ☰ 15.2 Introduction to Flask
  • ☰ 15.3 Creating a simple web server
  • ☰ 15.4 Routing and templates
  • ☰ 15.5 Handling user input (forms)
  • ☰ 15.6 Very basic APIs
• ☰ 16 Chapter 16: Data Science with Python
  • ☰ 16.1 What is data science?
  • ☰ 16.2 Working with data
  • ☰ 16.3 Introduction to NumPy
  • ☰ 16.4 Introduction to pandas
  • ☰ 16.5 Data visualization with matplotlib
  • ☰ 16.6 Simple data analysis examples
• ☰ 17 Chapter 17: Mini Projects
  • ☰ 17.1 Number guessing game
  • ☰ 17.2 Simple calculator
  • ☰ 17.3 To-do list
  • ☰ 17.4 Password generator
  • ☰ 17.5 Quiz application
  • ☰ 17.6 Small web or data project
• ☰ 18 Chapter 18: Next Steps
  • ☰ 18.1 How to practice Python
  • ☰ 18.2 Writing clean and readable code
  • ☰ 18.3 Choosing a specialization
    • ☰ 18.3.1 Web development
    • ☰ 18.3.2 Data science
    • ☰ 18.3.3 Automation
    • ☰ 18.3.4 Software development
  • ☰ 18.4 Learning resources and communities
• ☰ 19 Appendix
  • ☰ 19.1 Python syntax cheat sheet
  • ☰ 19.2 Common errors and solutions
  • ☰ 19.3 Glossary of terms