Python: Visual QuickStart Guide, Third Edition

Table of contents

1. Title Page
2. Copyright Page
3. Acknowledgments
4. Contents at a Glance
5. Table of Contents
6. 1. Introduction to Programming
   1. The Python Language
   2. What Is Python Useful For?
   3. How Programmers Work
   4. Installing Python
7. 2. Arithmetic, Strings, and Variables
   1. The Interactive Command Shell
   2. Integer Arithmetic
   3. Floating Point Arithmetic
   4. Other Math Functions
   5. Strings
   6. String Concatenation
   7. Getting Help
   8. Converting Between Types
   9. Variables and Values
   10. Assignment Statements
   11. How Variables Refer to Values
   12. Multiple Assignment
8. 3. Writing Programs
   1. Using IDLE’s Editor
   2. Compiling Source Code
   3. Reading Strings from the Keyboard
   4. Printing Strings on the Screen
   5. Source Code Comments
   6. Structuring a Program
9. 4. Flow of Control
   1. Boolean Logic
   2. If-Statements
   3. Code Blocks and Indentation
   4. Loops
   5. Comparing For-Loops and While-Loops
   6. Breaking Out of Loops and Blocks
   7. Loops Within Loops
10. 5. Functions
    1. Calling Functions
    2. Defining Functions
    3. Variable Scope
    4. Using a main Function
    5. Function Parameters
    6. Modules
11. 6. Strings
    1. String Indexing
    2. Characters
    3. Slicing Strings
    4. Standard String Functions
    5. Regular Expressions
12. 7. Data Structures
    1. The type Command
    2. Sequences
    3. Tuples
    4. Lists
    5. List Functions
    6. Sorting Lists
    7. List Comprehensions
    8. Dictionaries
    9. Sets
13. 8. Input and Output
    1. Formatting Strings
    2. String Formatting
    3. Reading and Writing Files
    4. Examining Files and Folders
    5. Processing Text Files
    6. Processing Binary Files
    7. Reading Webpages
14. 9. Exception Handling
    1. Exceptions
    2. Catching Exceptions
    3. Clean-Up Actions
15. 10. Object-Oriented Programming
    1. Writing a Class
    2. Displaying Objects
    3. Flexible Initialization
    4. Setters and Getters
    5. Inheritance
    6. Polymorphism
    7. Learning More
16. 11. Case Study: Text Statistics
    1. Problem Description
    2. Keeping the Letters We Want
    3. Testing the Code on a Large Data File
    4. Finding the Most Frequent Words
    5. Converting a String to a Frequency Dictionary
    6. Putting It All Together
    7. Exercises
    8. The Final Program
17. A. Popular Python Packages
    1. Some Popular Packages
18. B. Comparing Python 2 and Python 3
    1. What’s New in Python 3
19. Index