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Introduction to Computer Programming with Python
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table of contents
  1. Cover
  2. Title Page
  3. Copyright Page
  4. Contents
  5. Chapter 1 Introduction
    1. Learning Objectives
    2. 1.1 A Brief History of Computers
    3. 1.2 Fundamentals of Computing and Modern Computers
      1. Number Systems and the Foundation of Computing
      2. Computability and Computational Complexity
      3. The Construction of Modern Computers
        1. Analog Computers
        2. Digital Computers
        3. Mechanic-Based Components
        4. Vacuum Tube–Based Components
        5. Transistors
        6. Integrated Circuits and Very Large-Scale Integrated Circuits
    4. 1.3 Programming and Programming Languages
    5. 1.4 Python Programming Language
      1. The Development and Implementation of Python
      2. Advantages of Python
      3. Resources for Python and Python Education
    6. 1.5 Getting Ready to Learn Programming in Python
      1. Installing and Setting Up the Python Programming Environment
        1. Installing Python
        2. Setting Up a Virtual Environment for a Python Project
        3. Installing Jupyter Notebook
        4. Installing Visual Studio Code
      2. Additional Tools Supporting Software Development in Python
        1. Buildbot
        2. Trac
        3. Roundup
    7. 1.6 Getting a Taste of Programming with Python
      1. Program Interactively with Python Interactive Shell
      2. Program with VS Code IDE
      3. Use Jupyter Notebook Within VS Code to Program Interactively
      4. Write Documentation in Markdown
        1. Headings
        2. Paragraphs
        3. New Lines
        4. Italic, Bold, and Strikethrough Texts
        5. Horizontal Rules
        6. Keyboard Keys
        7. Unordered Lists
        8. Ordered Lists
        9. Definition Lists
        10. Links
        11. Links to Internal Sections
        12. Images
        13. Blockquotes
        14. Tables
        15. Inline Program / Script Code
        16. Code Block
        17. Mathematical Formulas and Expressions
        18. To-Do List
        19. Escape Sequence for Special Characters
      5. Programming Interactively with Jupyter Notebook Within VS Code
      6. Run Python Programs Outside IDE
      7. Make the Python Program File Executable
      8. Errors in Programs
    8. 1.7 Essentials of Problem Solving and Software Development
      1. Design Algorithms to Solve Problems
      2. Phases of Software System Development
        1. Phase 1. Understand the Project
        2. Phase 2. Analyze the Requirements to Identify Computer-Solvable Problems and Tasks
        3. Phase 3. Design the System
        4. Phase 4. Implement the System
        5. Phase 5. Test the System
        6. Phase 6. Maintain the System
    9. 1.8 Manage Your Working Files for Software Development Projects
      1. Set Up Git on Your Computer and Version-Control Locally
      2. Set Up an Account on GitHub and Version-Control with Remote Repositories
    10. Chapter Summary
    11. Exercises
    12. Projects
  6. Chapter 2 Essential Building Blocks of Computer Programs
    1. Learning Objectives
    2. 2.1 Primary Constructs of Computer Programs in Python
      1. Vocabulary of the Programming Language
        1. Rules of Naming Identifiers
        2. Python Naming Conventions
        3. Names with Leading and/or Trailing Underscores
        4. Rules of Scope Resolution for Identifiers
      2. Simple Data Types
        1. Signed Integers (int)
        2. Float (float)
        3. Boolean (bool)
        4. Complex (complex)
      3. Compound Data Types
        1. String (str)
        2. List
        3. Tuple
        4. Set
        5. Dictionary
        6. Object
      4. Variables and Constants
        1. Variables
        2. Built-In Constants
      5. Operators
        1. Arithmetic Operators
        2. Comparison Operators
        3. Logical Operators
        4. Bitwise Operators
        5. Assignment Operators
        6. Identity Operators
        7. Sequence Operators
        8. Membership Operator
      6. Built-In Functions
      7. Expressions
    3. 2.2 Higher-Level Constructs of Python Programs
      1. Structure of Python Programs
      2. Documentation and Comments
      3. Simple Statements
        1. Expression Statement
        2. Assignment Statement
        3. print Statement
        4. input Statement
        5. assert Statement
        6. pass Statement
        7. del Statement
        8. return Statement
        9. open Statement
        10. yield Statement
        11. raise Statement
        12. break Statement
        13. continue Statement
        14. import Statement
        15. global Statement
        16. nonlocal Statement
        17. help Statement
      4. Compound Statements
        1. Code Blocks
        2. Rules of Indentation
        3. Rules of Spacing
        4. if Statement
        5. if-else Statement
        6. if-elif Statement
        7. if-elif-else Statement
        8. while Statement
        9. for Statement
        10. def Statement
        11. class Statement
        12. try-except Statement
        13. with Statement
    4. Chapter Summary
    5. Exercises
    6. Projects
  7. Chapter 3 Flow Control of Statements
    1. Learning Objectives
    2. 3.1 Selective with the if Statement
    3. 3.2 Single-branch selective with if Statement
    4. 3.3 Multiple-Branch Selective with if-elif-… and if-elif-…-else Statements
    5. 3.4 Iterate with for Statement
      1. Using break and continue Statements and an else Clause Within Loops
      2. Common Coding Mistakes with the for Loop
    6. 3.5 Iterate with the while Statement
      1. Common Coding Mistakes with a while Loop
    7. 3.6 Iterate with for Versus while
    8. Chapter Summary
    9. Exercises
    10. Projects
  8. Chapter 4 Handle Errors and Exceptions in Programs
    1. Learning Objectives
    2. 4.1 Errors in Your Programs
      1. Exception
      2. ArithmeticError
      3. OverflowError
      4. ZeroDivisionError
      5. FloatingPointError
      6. AssertionError
      7. AttributeError
      8. BufferError
      9. EOFError
      10. GeneratorExit
      11. ImportError
      12. IndexError
      13. KeyError
      14. KeyboardInterrupt
      15. MemoryError
      16. ModuleNotFoundError
      17. NameError
      18. NotImplementedError
      19. OSError
      20. BlockingIOError
      21. ChildProcessError
      22. ConnectionError
      23. BrokenPipeError
      24. ConnectionAbortedError
      25. ConnectionRefusedError
      26. ConnectionResetError
      27. FileExistsError
      28. FileNotFoundError
      29. IsADirectoryError
      30. NotADirectoryError
      31. PermissionError
      32. ProcessLookupError
      33. TimeoutError
      34. RecursionError
      35. ReferenceError
      36. RuntimeError
      37. StopIteration
      38. StopAsyncIteration
      39. SyntaxError
      40. IndentationError
      41. TabError
      42. SystemError
      43. SystemExit
      44. TypeError
      45. UnboundLocalError
      46. UnicodeError
      47. UnicodeEncodeError
      48. UnicodeDecodeError
      49. UnicodeTranslateError
      50. ValueError
    3. 4.2 Handling Runtime Errors and Exceptions
    4. Chapter Summary
    5. Exercises
  9. Chapter 5 Use Sequences, Sets, Dictionaries, and Text Files
    1. Learning Objectives
    2. 5.1 Strings
      1. Methods of Built-In Class str
      2. Built-In Functions and Operators for Strings
      3. Constructing and Formatting Strings
      4. Regular Expressions
    3. 5.2 Lists
    4. 5.3 Tuples
    5. 5.4 Sets
    6. 5.5 Dictionaries
    7. 5.6 List, Set, and Dictionary Comprehension
      1. List Comprehension
      2. Set Comprehension
      3. Dictionary Comprehension
    8. 5.7 Text Files
      1. Opening and Closing a File
      2. Write or Append to a File
      3. Reading from a File
      4. Update Existing Content of a Text File
      5. Deleting Portion of a Text File
    9. Chapter Summary
    10. Exercises
    11. Projects
  10. Chapter 6 Define and Use Functions
    1. Learning Objectives
    2. 6.1 Defining and Using Functions in Python
    3. 6.2 Parameters and Arguments in Functions
    4. 6.3 Recursive Functions
    5. 6.4 Anonymous Functions: lambda Expressions
    6. 6.5 Special Functions: Mapping, Filtering, and Reducing
      1. Mapping
      2. Filtering
      3. Reducing
    7. 6.6 Generators: Turning a Function into a Generator of Iterables
    8. 6.7 Closures: Turning a Function into a Closure
    9. 6.8 Decorators: Using Function as a Decorator in Python
    10. 6.9 Properties of Functions
    11. Chapter Summary
    12. Exercises
    13. Projects
  11. Chapter 7 Object-Oriented Programming with Python
    1. Learning Objectives
    2. 7.1 Introduction to Object-Oriented Programming (OOP)
      1. Abstraction
      2. Information Hiding or Data Encapsulation
      3. Inheritance
    3. 7.2 Defining and Using Classes in Python
      1. Inheritance: Subclass and Superclass
      2. Public, Private, and Protected Members of a Class
      3. Class Methods
      4. Static Methods
      5. Class Attributes
    4. 7.3 Advanced Topics in OOP with Python
      1. Dunder Methods in Class Definition
      2. Using Class as Decorator
      3. Built-In Property() Function and Property Decorator
      4. Creating a New Class Dynamically and Modify a Defined Class or Instance
      5. Keeping Objects in Permanent Storage
    5. Chapter Summary
    6. Exercises
    7. Project
  12. Chapter 8 Modules and Packages
    1. Learning Objectives
    2. 8.1 Creating Modules and Packages
    3. 8.2 Using Modules and Packages
    4. 8.3 Install and Learn About Modules Developed by Others
    5. 8.4 Module for Generating Random Numbers
      1. Functions for Bookkeeping
      2. Functions for Generating Random Integers
      3. Functions for Randomly Generating Float Numbers
      4. Functions for Randomly Selected Item(s) from Sequences
    6. 8.5 Module for Mathematical Operations
    7. 8.6 Modules for Time, Date, and Calendar
      1. The Datetime Module
      2. The Time Module
      3. The Calendar Module
    8. 8.7 Modules for Data Representation and Exchange
    9. 8.8 Modules for Interfacing Operating Systems and Python Interpreter
      1. OS Module for Interacting with the Operating System
      2. The path Submodule from os for Manipulating File Paths
      3. The sys Module for Interaction Between the Python and Python Interpreter or Python Virtual Machine (PVM)
    10. 8.9 Module for Logging Events During Program Runtime
    11. 8.10 Modules for Playing and Manipulating Audio and Video Files
      1. winsound
      2. PyGame
    12. 8.11 Modules for Creating and Manipulating Graphics and Images
      1. Create Graphics with Tkinter
      2. Manipulate Images with Pillow
    13. 8.12 Modules for Data Analytics
    14. Chapter Summary
    15. Exercises
    16. Projects
  13. Chapter 9 Develop GUI-Based Applications
    1. Learning Objectives
    2. 9.1 Terminal-Based Applications Versus GUI-Based Applications
    3. 9.2 Designing and Developing GUI-Based Applications in Python
      1. Tkinter Module
      2. tkinter.ttk—Tk-Themed Widgets
    4. Chapter Summary
    5. Exercises
    6. Projects

Introduction

to

Computer Programming

with

Python

Harris Wang

Logo: Athabasca University Press, Remix Imprint

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