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Practice of Computing Using Python 2nd Edition Punch Solutions Manual.

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Practice of Computing Using Python 2nd Edition Punch Solutions Manual

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ISBN-10 ‏ : ‎ 0132830205
ISBN-13 ‏ : ‎ 978-0132830201
Author:

Now in its Third Edition, Practice of Computing Using Pythoncontinues to effectively introduce readers to computational thinking using Python, with a strong emphasis on problem solving through computer science. The authors have chosen Python for its simplicity, powerful built-in data structures, advanced control constructs, and practicality. The text is built from the ground up for Python programming, rather than having been translated from Java or C++.

Focusing on data manipulation and analysis as a theme, the text allows readers to work on real problems using Internet-sourced or self-generated data sets that represent their own work and interests. The authors also emphasize program development and provide readers of all backgrounds with a practical foundation in programming that suit their needs. Among other changes, theThird Edition incorporates a switch to the Anaconda distribution, the SPYDER IDE, and a focus on debugging and GUIs.

Table contents:

Part 1 Thinking About Computing
Chapter 0 The Study of Computer Science
0.1 Why Computer Science?
0.1.1 Importance of Computer Science
0.1.2 Computer Science Around You
0.1.3 Computer “Science”
Theory of Computation
Computational Efficiency
Algorithms and Data Structures
Parallel Processing
Software Engineering
Many Others
0.1.4 Computer Science Through Computer Programming
0.2 The Difficulty and Promise of Programming
0.2.1 Difficulty 1: Two Things at Once
Poetry to Programming?
0.2.2 Difficulty 2: What Is a Good Program?
It’s All About Problem Solving
A Program as an Essay
0.2.3 The Promise of a Computer Program
0.3 Choosing a Computer Language
0.3.1 Different Computer Languages
0.3.2 Why Python?
Python Philosophy
A “Best Practices” Language
Python Is Open Source
A rising tide lifts all boats
0.3.3 Is Python the Best Language?
0.4 What Is Computation?
0.5 What Is a Computer?
0.5.1 Computation in Nature
The Human Brain
Evolutionary Computation
0.5.2 The Human Computer
0.6 The Modern, Electronic Computer
0.6.1 It’s the Switch!
0.6.2 The Transistor
Smaller Size
Quantity and Function
Faster
0.7 A High-Level Look at a Modern Computer
0.8 Representing Data
0.8.1 Binary Data
0.8.2 Working with Binary
0.8.3 Limits
Bits, Bytes, and Words
0.8.4 Representing Letters
0.8.5 Representing Other Data
Images
Music
0.8.6 What Does a Number Represent?
0.8.7 How to Talk About Quantities of Data
0.8.8 How Much Data Is That?
0.9 Overview of Coming Chapters
Summary
Part 2 Starting to Program
Chapter 1 Beginnings
1.1 Practice, Practice, Practice
1.2 Quickstart, the Circumference Program
1.2.1 Examining the Code
1.3 An Interactive Session
1.4 Parts of a Program
1.4.1 Modules
1.4.2 Statements and Expressions
1.4.3 Whitespace
Indentation
Continuation
1.4.4 Comments
1.4.5 Special Python Elements: Tokens
Keywords
Operators
Punctuators and Delimiters
Literals
1.4.6 Naming Objects
1.4.7 Recommendations on Naming
1.5 Variables
1.5.1 Variable Creation and Assignment
Check Yourself: Variables and Assignment
1.6 Objects and Types
1.6.1 Numbers
Integers
Floating-Point Numbers
Fractions
1.6.2 Other Built-In Types
Boolean
String
List
Dictionary
Set
1.6.3 Object Types: Not Variable Types
1.6.4 Constructing New Values
1.7 Operators
1.7.1 Integer Operators
1.7.2 Floating-Point Operators
1.7.3 Mixed Operations
1.7.4 Order of Operations and Parentheses
1.7.5 Augmented Assignment Operators: A Shortcut!
Check Yourself: Types and Operators
1.8 Your First Module, Math
1.9 Developing an Algorithm
1.9.1 New Rule—Testing
1.10 Turtle Graphics
1.11 What’s Wrong with My Code?
Summary
Elements
Built-in Types
Rules
Exercises
Programming Projects
Chapter 2 Control
2.1 QuickStart Control
2.1.1 Selection
2.1.2 Booleans for Decisions
2.1.3 The if Statement
The Basic if Statement
Indentation and a Suite of Python Code
The if-else Statement
2.1.4 Example: What Lead Is Safe in Basketball?
2.1.5 Repetition
Basic While
Iteration: The Basic for Statement
2.1.6 Example: Finding Perfect Numbers
Program to Evaluate Whether a Number Is Perfect
A Note on Naming
Putting It All Together
2.1.7 Example: Classifying Numbers
The Process of Changing a Program
Looking at a Range of Numbers
Summing Divisors
Classify the Numbers
Check Yourself: Basic Control Check
2.2 In-Depth Control
2.2.1 True and False: Booleans
2.2.2 Boolean Variables
2.2.3 Relational Operators
What Does It Mean to be Equal?
Chained Relational Operators
2.2.4 Boolean Operators
2.2.5 Precedence
2.2.6 Boolean Operators Example
Check Yourself: Loop Control Check
2.2.7 Another Word on Assignments
Multiple Assignment
Swap
2.2.8 The Selection Statement for Decisions
2.2.9 More on Python Decision Statements
The if-elif-else Statement
Mixing and Matching elif and else
Updating Our Perfect Number Example
2.2.10 Repetition: the while Statement
Basic Repetition and the while Loop
Loop Control and Initialization
Check Yourself: More Control Check
else and break
Break Statement and Non-Normal Exit
More Control Inside of a while Loop
Continue
Checking User Input for Errors
The pass Statement
2.2.11 Sentinel Loop
2.2.12 Summary of Repetition
2.2.13 More on the for Statement
Using range to Generate a Number Sequence
The range Function and Iterables
Equivalence of while and for
Refactor Perfect Numbers Using for
2.2.14 Nesting
Check Yourself: for and range Check
2.2.15 Hailstone Sequence Example
2.3 Plotting Data with pylab
2.3.1 First Plot and Using a List
2.3.2 More Interesting Plot: A Sine Wave
Plotting Elements and Their Colors
More Detailed Call of Plot
2.4 Computer Science Perspectives: Minimal Universal Computing
2.4.1 Minimal Universal Computing
2.5 What’s Wrong with My Code?
Summary
Selection: if-elif-else
Repetition: while
Iteration: for
Rules
Exercises
Programming Projects
Chapter 3 Algorithms and Program Development
3.1 What Is an Algorithm?
3.1.1 Example Algorithms
3.2 Algorithm Features
3.2.1 Algorithm versus Program
3.2.2 Qualities of an Algorithm
Detailed
Effective
Specify Behavior
General Purpose Algorithms
3.2.3 Can We Really Do All That?
3.3 What Is a Program?
3.3.1 Readability
The Simplest Thing: Good Names
Comments
Indenting Code
3.3.2 Robust
3.3.3 Correctness
3.4 Strategies for Program Design
3.4.1 Engage and Commit
3.4.2 Understand, Then Visualize
What Is the Actual Problem?
Making the Problem Real
3.4.3 Think Before You Program
3.4.4 Experiment
3.4.5 Simplify
The “Onion” Approach
3.4.6 Stop and Think
3.4.7 Relax: Give Yourself a Break
3.5 A Simple Example
3.5.1 Build the Skeleton
3.5.2 Output
3.5.3 Input
Testing the Input Routine
3.5.4 Doing the Calculation
Summary
Algorithms
Rules
Exercises
Part 3 Data Structures and Functions
Chapter 4 Working with Strings
4.1 The String Type
4.1.1 The Triple-Quote String
4.1.2 Nonprinting Characters
4.1.3 aString Representation
4.1.4 Strings as a Sequence
4.1.5 More Indexing and Slicing
Extended Slicing
Copy Slice
4.1.6 Strings Are Iterable
Check Yourself: Slicing Check
4.2 String Operations
4.2.1 Concatenation (+) and Repetition (*)
4.2.2 Determining When + Indicates Addition or Concatenation?
The type Function
4.2.3 Comparison Operators
Single-Character String Compares
Comparing Strings with More Than One Character
4.2.4 The in Operator
4.2.5 String Collections Are Immutable
Check Yourself: String Comparison Check
4.3 A Preview of Functions and Methods
4.3.1 A String Method
Chaining of Methods
Optional Arguments
Nesting of Methods
4.3.2 Determining Method Names and Method Arguments
4.3.3 String Methods
4.3.4 String Functions
4.4 Formatted Output for Strings
4.4.1 Descriptor Codes
4.4.2 Width and Alignment Descriptors
4.4.3 Floating-Point Precision Descriptor
Check Yourself: More String Manipulation Check
4.5 Control and Strings
4.6 Working with Strings
4.6.1 Example: Reordering a Person’s Name
4.6.2 Palindromes
Changing Case
Only Letters and Digits
Putting It All Together
4.7 More String Formatting
4.8 Unicode
4.9 A GUI to Check a Palindrome
4.10 What’s Wrong with My Code?
Summary
Strings
Indexing and Slicing
Formatting
Iteration: for, enumerate
Rules
Exercises
Programming Projects
Chapter 5 Functions—QuickStart
5.1 What Is a Function?
5.1.1 Why Have Functions?
5.2 Python Functions
5.3 Flow of Control with Functions
5.3.1 Function Flow in Detail
5.3.2 Parameter Passing
Check Yourself: Simple Functions Check
5.3.3 Another Function Example
5.3.4 Function Example: Area of a Triangle
Input
Find Side Length
Calculate Area
Whole Program
5.3.5 Functions Calling Functions
5.3.6 When to Use a Function
5.3.7 What If There Is No Return Statement?
5.3.8 What If There Are Multiple Return Statements?
5.4 : Turtle Flag
5.5 What’s Wrong with My Code?
Summary
Functions
Rules
Exercises
Programming Projects
Chapter 6 Files and Exceptions I
6.1 What Is a File?
6.2 Accessing Files: Reading Text Files
6.2.1 What’s Really Happening?
6.3 Accessing Files: Writing Text Files
6.4 Reading and Writing Text Files in a Program
6.5 File Creation and Overwriting
Check Yourself: File Check
6.5.1 Files and Functions Example: Word Puzzle
Reading a File of Words
Searching a File of Words
Solving the Puzzle
Check Yourself: Function Practice with Strings
6.6 First Cut, Handling Errors
6.6.1 Error Names
6.6.2 The try-except Construct
6.6.3 try-except Flow of Control
6.6.4 Exception Example
Check Yourself: Exception Check
6.7 Example: Counting Poker Hands
6.7.1 Program to Count Poker Hands
Program to Count the Total Hands in the File
Program to Count the Hands with One Pair
Program to Calculate the Probability of One Pair
Error Checking
The Rest of the Program
Observations on the Output
6.8 GUI to Count Poker Hands
6.8.1 Count Hands Function
6.8.2 The Rest of the GUI Code
6.9 Error Check Float Input
6.10 What’s Wrong with My Code?
Summary
Files
Exceptions
Rules
Exercises
Programming Projects
Chapter 7 Lists and Tuples
7.1 What is a List?
7.2 What You Already Know How To Do With Lists
7.2.1 Indexing and Slicing
7.2.2 Operators
7.2.3 Functions
7.2.4 List Iteration
7.3 Lists Are Different than Strings
7.3.1 Lists Are Mutable
7.3.2 List Methods
Nonmodifying Methods
Methods That Modify the List
More on Sorting
Check Yourself: Basic Lists Check
7.4 Old and New Friends: Split and Other Functions and Methods
7.4.1 Split and Multiple Assignment
7.4.2 List to String and Back Again, Using join
7.4.3 The Sorted Function
Check Yourself: Lists and Strings Check
7.5 Working with Some Examples
7.5.1 Anagrams
Refactoring
7.5.2 Example: File Analysis
Length of Gettysburg Address
Unique Words in Gettysburg Address
Better Idea of Unique
7.6 Mutable Objects and References
7.6.1 Shallow versus Deep Copy
7.6.2 Mutable versus Immutable
Check Yourself: Mutable List Check
7.7 Tuples
7.7.1 Tuples from Lists
7.7.2 Why Tuples?
7.8 Lists: The Data Structure
7.8.1 Example Data Structure
7.8.2 Other Example Data Structures
7.9 Algorithm Example: U.S. EPA Automobile Mileage Data
7.9.1 csv Module
7.10 Plotting EPA Data
7.11 List Comprehension
7.11.1 Comprehensions, Expressions, and the Ternary Operator
7.12 More Plotting
7.12.1 Pylab Arrays
Arrays and range
Broadcasting
7.12.2 Plotting Trigonometric Functions
7.13 GUI to Find Anagrams
7.13.1 Function Model
7.13.2 Controller
7.14 What’s Wrong with My Code?
Summary
Lists and Tuples
Indexing and Slicing
List Methods (Partial List)
Methods Shared by Lists and Tuples (Partial List)
Iteration: for, Enumerate
Rules
Exercises
Programming Projects
Chapter 8 More on Functions
8.1 Scope
8.1.1 Arguments, Parameters, and Namespaces
8.1.2 Passing Mutable Objects
8.1.3 Returning a Complex Object
Check Yourself: Passing Mutables Check
8.1.4 Refactoring evens
8.2 Default Values and Parameters as Keywords
8.2.1 Example: Default Values and Parameter Keywords
Issues with Default Values
Check Yourself: More on Functions Check
8.3 Functions as Objects
8.3.1 Function Annotations
8.3.2 Docstrings
8.4 Example: Determining a Final Grade
8.4.1 The Data
8.4.2 The Design
8.4.3 Function: weighted_grade
8.4.4 Function: parse_line
8.4.5 Function: main
8.4.6 Example Use
8.5 Pass ”’By Value” or ”By Reference”
8.6 What’s Wrong with My Code?
Summary
Functions
Rules
Exercises
Programming Projects
Chapter 9 Dictionaries and Sets
9.1 Dictionaries
9.1.1 Dictionary Example
9.1.2 Python Dictionaries
9.1.3 Dictionary Indexing and Assignment
Dictionaries Are Mutable
Dictionaries with Different Key Types
9.1.4 Operators
Familiar Collection Operations
Some Dictionary Methods
Check Yourself: Dictionary Check
9.1.5 Ordered Dictionaries
9.2 Word Count Example
9.2.1 Count Words in a String
9.2.2 Word Frequency for Gettysburg Address
add_word
process_line
pretty_print
main
9.2.3 Output and Comments
9.3 Periodic Table Example
9.3.1 Working with CSV Files
9.3.2 Algorithm Overview
9.3.3 Functions for Divide and Conquer
read_table
parse_element(element_str)
9.4 Sets
9.4.1 History
9.4.2 What’s in a Set?
9.4.3 Python Sets
Python Sets are Mutable
9.4.4 Methods, Operators, and Functions for Python Sets
Typical Operations
9.4.5 Set Methods
Intersection
Union
Difference
Symmetric Difference
Subset and Superset
Check Yourself: Set Check
Other Set methods
9.5 Set Applications
9.5.1 Relationship between Words of Different Documents
add_word
process_line
main
pretty_print
9.5.2 Output and Comments
9.6 Scope: The Full Story
9.6.1 Namespaces and Scope
9.6.2 Search Rule for Scope
9.6.3 Local
9.6.4 Global
The Local Assignment Rule
The global Statement
9.6.5 Built-Ins
9.6.6 Enclosed
9.7 Using zip to Create Dictionaries
9.8 Dictionary and Set Comprehensions
9.9 Bar Graph of Word Frequency
9.9.1 Getting the Data Right
9.9.2 Labels and the xticks Command
9.9.3 Plotting
9.10 GUI to Compare Files
9.10.1 Controller and View
9.10.2 Function Model
9.11 What’s Wrong with My Code?
Summary
Dictionaries
Sets
Scope
Rules
Exercises
Programming Projects
Chapter 10 More Program Development
10.1 Introduction
10.2 Divide and Conquer
10.2.1 Top-Down Refinement
10.3 The Breast Cancer Classifier
10.3.1 The Problem
10.3.2 The Approach: Classification
10.3.4 Training and Testing the Classifier
10.3.4 Building the Classifier
10.4 Designing the Classifier Algorithm
10.4.1 Divided, now Conquer
10.4.2 Data Structures
10.4.3 File Format
10.4.4 The make_training_set Function
10.4.5 The make_test_set Function
10.4.6 The train_classifier Function
Some Utility Functions for Manipulating Lists
The sum_lists Function
The make_averages Function
10.4.7 train_classifier, Round 2
A Little Testing
10.4.8 Testing the Classifier on New Data
Testing the classify_test_set Function
10.4.9 The report_results Function
10.5 Running the Classifier on Full Data
10.5.1 Training versus Testing
10.6 Other Interesting Problems
10.6.1 Tag Clouds
10.6.2 S&P 500 Predictions
10.6.3 Predicting Religion with Flags
10.7 GUI to Plot the Stock Market
10.7.1 Function Model
10.7.2 Controller and View
Summary
Rules
Exercises
Programming Projects
Part 4 Classes, Making Your Own Data Structures and Algorithms
Chapter 11 Introduction to Classes
11.1 Quickstart: Simple Student Class
11.2 Object-Oriented Programming
11.2.1 Python Is Object-Oriented!
11.2.2 Characteristics of OOP
11.3 Working with OOP
11.3.1 Class and Instance
11.4 Working with Classes and Instances
11.4.1 Built-In Class and Instance
11.4.2 Our First Class
A Simple Instance
11.4.3 Changing Attributes
11.4.4 The Special Relationship Between an Instance and Class: instance-of
Part of the Python Scope Rules for Objects: Instance, then Class
11.5 Object Methods
11.5.1 Using Object Methods
11.5.2 Writing Methods
11.5.3 The Special Argument self
Check Yourself: Basic Classes Check
11.5.4 Methods Are the Interface to a Class Instance
11.6 Fitting into the Python Class Model
11.6.1 Making Programmer-Defined Classes
11.6.2 A Student Class
11.6.3 Python Standard Methods
Initializing the Instance
Printing the Instance
Changing an Instance
Check Yourself: Defining Special Methods
11.6.4 Now There Are Three: Class Designer, Programmer, and User
11.7 Example: Point Class
11.7.1 Construction
11.7.2 Distance
11.7.3 Summing Two Points
11.7.4 Improving the Point Class
Default Initialization
“Do the Right Thing”: Printing the Values
Updated Point Class
11.8 Python and OOP
11.8.1 Encapsulation
11.8.2 Inheritance
11.8.3 Polymorphism
11.9 Python and Other OOP languages
11.9.1 Public versus Private
11.9.2 Indicating Privacy Using Double Underscores (__)
11.9.3 Python’s Philosophy
11.9.4 Modifying an Instance
11.10 What’s Wrong with My Code?
Summary
Classes
Rules
Exercises
Programming Projects
Chapter 12 More on Classes
12.1 More About Class Properties
12.1.1 Rational Number (Fraction) Class Example
Variation on Import, from
12.2 How Does Python Know?
12.2.1 Classes, Types, and Introspection
12.2.2 Remember Operator Overloading
12.3 Creating Your Own Operator Overloading
12.3.1 Mapping Operators to Special Methods
12.4 Building the Rational Number Class
12.4.1 Making the Class
12.4.2 Review Fraction Addition
Euclid and the GCD
12.4.3 Back to Adding Fractions
Assignment
Check Yourself: Check Defining Your Own Operators
12.4.4 Equality and Reducing Rationals
12.4.5 Divide and Conquer at Work
12.5 What Doesn’t Work (Yet)
12.5.1 Introspection
12.5.2 Repairing int + Rational Errors
Mixed-Type Comparisons
Collection Operators and Iteration
12.6 Inheritance
12.6.1 The “Find the Attribute” Game
Class “is-a” Relationship and the Class Hierarchy
Back to the Game
12.6.2 Using Inheritance
Group Development and OOP
12.6.3 Example: The Standard Model
Using Parent Class Methods
Changing Code Using Class Inheritance
12.7 What’s Wrong with My Code?
Summary
Classes
Rules
Exercises
Chapter 13 Program Development with Classes
13.1 Predator-Prey Problem
13.1.1 The Rules
13.1.2 Simulation Using Object-Oriented Programming
13.2 Classes
13.2.1 Island Class
13.2.2 Predator and Prey, Kinds of Animals
Animal Object
13.2.3 Predator and Prey Classes
13.2.4 Object Diagram
13.2.5 Filling the Island
Querying a Grid Location
Repeat Until Full
13.3 Adding Behavior
13.3.1 Refinement: Add Movement
Falling off the Island?
13.3.2 Refinement: Time Simulation Loop
13.4 Refinement: Eating, Breeding, and Keeping Time
13.4.1 Improved Time Loop
Remembering the Breed and Starve Time Spans
Updating the __init__ Methods
13.4.2 Breeding
The “Neighbor” Method and Updating Move
Back to Breeding
13.4.3 Eating
13.4.4 The Tick of the Clock
13.5 Refinement: How Many Times to Move?
13.6 Graphing Population Size
Summary
Exercises
Part 5 Being a Better Programmer
Chapter 14 Files and Exceptions II
14.1 More Details on Files
14.1.1 Other File Access Methods, Reading
14.1.2 Other File Access Methods, Writing
14.1.3 Universal New Line Format
14.1.4 Moving Around in a File
14.1.5 Closing a File
14.1.6 The with Statement
14.1.7 Text File Encodings; Unicode
Check Yourself: Basic File Operations
14.2 CSV Files
14.2.1 CSV Module
14.2.2 CSV Reader
14.2.3 CSV Writer
14.2.4 Example: Update Some Grades
14.3 Module: os
14.3.1 Directory (Folder) Structure
14.3.2 os Module Functions
14.3.3 os Module Example
14.4 More on Exceptions
14.4.1 Basic Exception Handling
14.4.2 A Simple Example
Multiple Exceptions in One except
No Exception except
14.4.3 Events
14.4.4 A Philosophy Concerning Exceptions
14.5 Exception: else and finally
14.5.1 finally and with
14.5.2 Example: Refactoring the Reprompting of a File Name
14.6 More on Exceptions
14.6.1 Raise
Check Yourself: Basic Exception Control
14.6.2 Create Your Own
14.7 Example: Password Manager
Summary
Files
Exceptions
Exercises
Programming Projects
Chapter 15 Recursion: Another Control Mechanism
15.1 What Is Recursion?
15.2 Mathematics and Rabbits
15.3 Let’s Write Our Own: Reversing a String
15.4 How Does Recursion Actually Work?
15.4.1 Stack Data Structure
15.4.2 Stacks and Function Calls
15.4.3 A Better Fibonacci
15.5 Recursion in Figures
15.5.1 Recursive Tree
15.5.2 Sierpinski Triangles
15.6 Recursion to Non-recursion
15.7 GUI for Turtle Drawing
15.7.1 Using Turtle Graphics to Draw
15.7.2 Function Model
15.7.3 Controller and View
Summary
Exercises
Chapter 16 Other Fun Stuff with Python
16.1 Numbers
16.1.1 Fractions
Fraction Construction
Fraction Operations
16.1.2 Decimal
Decimal Construction
Decimal Operations
Other Decimal Properties
16.1.3 Complex Numbers
Python Complex Numbers
Complex Numbers and cmath
16.1.4 Statistics Module
Averages and Central Location
Measures of Spread
16.1.5 Random Numbers
16.2 Even More on Functions
16.2.1 Having a Varying Number of Parameters
Multiple Positional Arguments
Multiple Keyword Arguments
16.2.2 Iterators and Generators
Iterator Objects
Collections and Iterator Objects
How for Works
Generators
Why Generators?
16.2.3 Other Functional Programming Ideas
Anonymous Functions, Lambda
16.2.4 Some Functional Programming Tools
16.2.5 Decorators: Functions Calling Functions
Passing a Function Object as a Parameter
Decorators
Why Is This a “Good Thing”
16.3 Classes
16.3.1 Properties
16.3.2 Serializing an Instance: pickle
Restrictions
16.4 Other Things in Python
16.4.1 Data Types
16.4.2 Built-in Modules
16.4.3 Modules on the Internet
Chapter 17 The End, or Perhaps the Beginning
Appendices
Appendix A Getting and Using Python
A.1 About Python
A.1.1 History
A.1.2 Python 3
A.1.3 Python Is Free and Portable
What You Get
A.1.4 Installing Anaconda
A.1.5 Starting Our Python IDE: Spyder
A.1.6 Working with Python
A.1.7 Making a Program
A Couple of Early Tips
Exploring Spyder
A.2 The iPython Console
A.2.1 Anatomy of an iPython Session
A.2.2 Your Top Three iPython Tips
The Arrow Keys and Your History
A.2.3 Completion and the Tab Key
A.2.4 The ? Character
A.2.5 More iPython Tips
A.3 Some Conventions for This Book
A.3.1 Interactive Code
A.3.2 Program: Written Code
A.3.3 Combined Program and Output
A.4 Summary
Appendix B Simple Drawing with Turtle Graphics
B.1 Tidbits
B.1.1 Reset/Close the Turtle Window
Appendix C What’s Wrong with My Code?
C.1 It’s Your Fault!
C.1.1 Kinds of Errors
Testing for Runtime and Semantic Errors
C.1.2 “Bugs” and Debugging
C.2 Debugging
C.2.1 Testing for Correctness
C.2.2 Probes
C.2.3 Debugging with Spyder Example 1
C.2.4 Debugging Example 1 Using print()
C.2.5 Debugging with Spyder Example 2
C.2.6 More Debugging Tips
C.3 More about Testing
C.3.1 Testing Is Hard!
Correctness
C.3.2 Importance of Testing
C.3.3 Other Kinds of Testing
C.4 What’s Wrong with My Code?
C.4.1 Chapter 1: Beginnings
C.4.2 Chapter 2: Control
C.4.3 Chapter 4: Strings
C.4.4 Chapter 5: Functions
C.4.5 Chapter 6: Files and Exceptions
C.4.6 Chapter 7: Lists and Tuples
C.4.7 Chapter 8: More Functions
C.4.8 Chapter 9: Dictionaries
C.4.9 Chapter 11: Classes I
C.4.10 Chapter 12: Classes II
Summary
Appendix D Pylab: A Plotting and Numeric Tool
D.1 Plotting
D.2 Working with pylab
D.2.1 Plot Command
D.2.2 Colors, Marks, and Lines
D.2.3 Generating X-Values
D.2.4 Plot Properties
D.2.5 Tick Labels
D.2.6 Legend
D.2.7 Bar Graphs
D.2.8 Histograms
D.2.9 Pie Charts
D.2.10 How Powerful Is pylab?
Appendix E Quick Introduction to Web-based User Interfaces
E.1 Flask
E.2 QuickStart Flask, Hello World
E.2.1 What Just Happened?
E.2.2 Multiple Routes
E.2.3 Stacked Routes, Passing Address Arguments
E.3 Serving Up Real HTML Pages
E.3.1 A Little Bit of HTML
E.3.2 HTML Tags
List of HTML Tags
E.3.3 Flask Returning Web Pages
E.3.4 Getting Arguments into Our Web Pages
E.4 Active Web Pages
E.4.1 Forms in wtforms
E.4.2 A Good Example Goes a Long Way
More About the Controller
More About the View
More About the Model
E.4.3 Many Fields Example
The Model
The View
The Controller
Imports
InputForm
Route Function
E.5 Displaying and Updating Images
E.6 Odds and Ends
Appendix F Table of UTF-8 One Byte Encodings
Appendix G Precedence
Appendix H Naming Conventions
H.1 Python Style Elements
H.2 Naming Conventions
H.2.1 Our Added Naming Conventions
H.3 Other Python Conventions
Appendix I Check Yourself Solutions
I.1 Chapter 1
Variables and Assignment
Types and Operators
I.2 Chapter 2
Basic Control Check
Loop Control Check
More Control Check
for and range Check
I.3 Chapter 4
Slicing Check
String Comparison Check
I.4 Chapter 5
Simple Functions Check
I.5 Chapter 6
Exception Check
Function Practice with Strings
I.6 Chapter 7
Basic Lists Check
Lists and Strings Check
Mutable List Check
I.7 Chapter 8
Passing Mutables Check
More on Functions Check
I.8 Chapter 9
Dictionary Check
Set Check
I.9 Chapter 11
Basic Classes Check
Defining Special Methods
I.10 Chapter 12
Check Defining Your Own Operators
I.11 Chapter 14
Basic File Operations
Basic Exception Control
Index

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