In this section you’ll install Python on your computer so you can start writing and running programs.
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- Chapter 1: What Is Programming? ▼
- Chapter 2: Setting Up Python ▼
- Chapter 3: Variables and Data Types ▼
- Chapter 4: Basic Operations ▼
- Chapter 5: User Input and Output ▼
- Chapter 6: Conditions ▼
- Chapter 7: Loops ▼
- Chapter 8: Data Collections ▼
- Chapter 9: Functions ▼
- Chapter 10: Working with Files ▼
- Chapter 11: Errors and Debugging ▼
- Chapter 12: Using Python Libraries ▼
- Chapter 13: Object-Oriented Programming ▼
- Chapter 14: Automation with Python ▼
- Chapter 15: Web Development with Python ▼
- Chapter 16: Data Science with Python ▼
- Chapter 17: Mini Projects ▼
- Chapter 18: Next Steps ▼
- Appendix ▼
Chapter 2: Setting Up Python
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Where to Move
Move chapter:
- ☰ Chapter 1: What Is Programming?
- ☰ What is a computer program?
- ☰ What is Python?
- ☰ Where is Python used?
- ☰ How programming helps solve problems
- ☰ Your first Python program
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- ☰ Chapter 2: Setting Up Python
- ☰ Installing Python (Windows / macOS / Linux)
- ☰ Using Python in the terminal
- ☰ Using an IDE (IDLE / VS Code)
- ☰ Running Python scripts
- ☰ Python interactive mode
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- ☰ Chapter 3: Variables and Data Types
- ☰ What is a variable?
- ☰ Creating variables
- ☰ Numbers
- ☰ Test
- ☰ Boolean values
- ☰ Type checking
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- ☰ Chapter 4: Basic Operations
- ☰ Arithmetic operations
- ☰ Working with numbers
- ☰ String operations
- ☰ Combining text and variables
- ☰ Comments in Python
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- ☰ Chapter 5: User Input and Output
- ☰ Getting input from the user
- ☰ Converting input to numbers
- ☰ Formatting output
- ☰ Writing interactive programs
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- ☰ Chapter 6: Conditions
- ☰ Comparison operators
- ☰ Logical operators
- ☰ if, elif, else
- ☰ Nested conditions
- ☰ Common beginner mistakes
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- ☰ Chapter 7: Loops
- ☰ Why loops are useful
- ☰ for loops
- ☰ while loops
- ☰ Loop counters
- ☰ break and continue
- ☰ Loop exercises
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- ☰ Chapter 8: Data Collections
- ☰ Lists
- ☰ Tuples
- ☰ Dictionaries
- ☰ Sets (basics)
- ☰ Choosing the right data structure
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- ☰ Chapter 9: Functions
- ☰ Why functions matter
- ☰ Defining functions
- ☰ Parameters and arguments
- ☰ Return values
- ☰ Scope (local vs global)
- ☰ Reusing code
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- ☰ Chapter 10: Working with Files
- ☰ What is a file?
- ☰ Reading text files
- ☰ Writing and appending files
- ☰ File paths
- ☰ Simple file-based programs
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- ☰ Chapter 11: Errors and Debugging
- ☰ Types of errors
- ☰ Reading error messages
- ☰ Common beginner errors
- ☰ try and except
- ☰ Debugging strategies
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- ☰ Chapter 12: Using Python Libraries
- ☰ What is a library?
- ☰ Importing modules
- ☰ Standard libraries
- ☰ math
- ☰ random
- ☰ datetime
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- ☰ Installing external libraries with pip
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- ☰ Chapter 13: Object-Oriented Programming
- ☰ What is object-oriented programming?
- ☰ Classes and objects
- ☰ The `__init__` method
- ☰ Attributes and methods
- ☰ Encapsulation
- ☰ Inheritance (basics)
- ☰ Simple OOP examples
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- ☰ Chapter 14: Automation with Python
- ☰ What is automation?
- ☰ Automating simple tasks
- ☰ Working with files and folders
- ☰ Automating text processing
- ☰ Scheduling scripts
- ☰ Practical automation examples
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- ☰ Chapter 15: Web Development with Python
- ☰ How the web works (basic overview)
- ☰ Introduction to Flask
- ☰ Creating a simple web server
- ☰ Routing and templates
- ☰ Handling user input (forms)
- ☰ Very basic APIs
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- ☰ Chapter 16: Data Science with Python
- ☰ What is data science?
- ☰ Working with data
- ☰ Introduction to NumPy
- ☰ Introduction to pandas
- ☰ Data visualization with matplotlib
- ☰ Simple data analysis examples
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- ☰ Chapter 17: Mini Projects
- ☰ Number guessing game
- ☰ Simple calculator
- ☰ To-do list
- ☰ Password generator
- ☰ Quiz application
- ☰ Small web or data project
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- ☰ Chapter 18: Next Steps
- ☰ How to practice Python
- ☰ Writing clean and readable code
- ☰ Choosing a specialization
- ☰ Web development
- ☰ Data science
- ☰ Automation
- ☰ Software development
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- ☰ Learning resources and communities
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- ☰ Appendix
- ☰ Python syntax cheat sheet
- ☰ Common errors and solutions
- ☰ Glossary of terms
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