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Learning Python - Mark Lutz [1]

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and References

Types Live with Objects, Not Variables

Objects Are Garbage-Collected

Shared References

Shared References and In-Place Changes

Shared References and Equality

Dynamic Typing Is Everywhere

Chapter Summary

Test Your Knowledge: Quiz

Test Your Knowledge: Answers

7. Strings

String Literals

Single- and Double-Quoted Strings Are the Same

Escape Sequences Represent Special Bytes

Raw Strings Suppress Escapes

Triple Quotes Code Multiline Block Strings

Strings in Action

Basic Operations

Indexing and Slicing

String Conversion Tools

Changing Strings

String Methods

String Method Examples: Changing Strings

String Method Examples: Parsing Text

Other Common String Methods in Action

The Original string Module (Gone in 3.0)

String Formatting Expressions

Advanced String Formatting Expressions

Dictionary-Based String Formatting Expressions

String Formatting Method Calls

The Basics

Adding Keys, Attributes, and Offsets

Adding Specific Formatting

Comparison to the % Formatting Expression

Why the New Format Method?

General Type Categories

Types Share Operation Sets by Categories

Mutable Types Can Be Changed In-Place

Chapter Summary

Test Your Knowledge: Quiz

Test Your Knowledge: Answers

8. Lists and Dictionaries

Lists

Lists in Action

Basic List Operations

List Iteration and Comprehensions

Indexing, Slicing, and Matrixes

Changing Lists In-Place

Dictionaries

Dictionaries in Action

Basic Dictionary Operations

Changing Dictionaries In-Place

More Dictionary Methods

A Languages Table

Dictionary Usage Notes

Other Ways to Make Dictionaries

Dictionary Changes in Python 3.0

Chapter Summary

Test Your Knowledge: Quiz

Test Your Knowledge: Answers

9. Tuples, Files, and Everything Else

Tuples

Tuples in Action

Why Lists and Tuples?

Files

Opening Files

Using Files

Files in Action

Other File Tools

Type Categories Revisited

Object Flexibility

References Versus Copies

Comparisons, Equality, and Truth

Python 3.0 Dictionary Comparisons

The Meaning of True and False in Python

Python’s Type Hierarchies

Type Objects

Other Types in Python

Built-in Type Gotchas

Assignment Creates References, Not Copies

Repetition Adds One Level Deep

Beware of Cyclic Data Structures

Immutable Types Can’t Be Changed In-Place

Chapter Summary

Test Your Knowledge: Quiz

Test Your Knowledge: Answers

Test Your Knowledge: Part II Exercises

III. Statements and Syntax

10. Introducing Python Statements

Python Program Structure Revisited

Python’s Statements

A Tale of Two ifs

What Python Adds

What Python Removes

Why Indentation Syntax?

A Few Special Cases

A Quick Example: Interactive Loops

A Simple Interactive Loop

Doing Math on User Inputs

Handling Errors by Testing Inputs

Handling Errors with try Statements

Nesting Code Three Levels Deep

Chapter Summary

Test Your Knowledge: Quiz

Test Your Knowledge: Answers

11. Assignments, Expressions, and Prints

Assignment Statements

Assignment Statement Forms

Sequence Assignments

Extended Sequence Unpacking in Python 3.0

Multiple-Target Assignments

Augmented Assignments

Variable Name Rules

Expression Statements

Expression Statements and In-Place Changes

Print Operations

The Python 3.0 print Function

The Python 2.6 print Statement

Print Stream Redirection

Version-Neutral Printing

Chapter Summary

Test Your Knowledge: Quiz

Test Your Knowledge: Answers

12. if Tests and Syntax Rules

if Statements

General Format

Basic Examples

Multiway Branching

Python Syntax Rules

Block Delimiters: Indentation Rules

Statement Delimiters: Lines and Continuations

A Few Special Cases

Truth Tests

The if/else Ternary Expression

Chapter Summary

Test Your Knowledge: Quiz

Test Your Knowledge: Answers

13. while and for Loops

while Loops

General Format

Examples

break, continue, pass, and the Loop else

General Loop Format

pass

continue

break

Loop else

for Loops

General Format

Examples

Loop Coding Techniques

Counter Loops: while and range

Nonexhaustive Traversals: range

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