Practical Programming An Introduction to Computer Science Using Python 3.6 3rd Edition by Paul Gries, Jennifer Campbell, Jason Montojo ISBN 1680502689 9781680502688

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ISBN 10:    1680502689
ISBN 13: 978-1680502688
Author:   Paul Gries, Jennifer Campbell, Jason Montojo

Practical Programming An Introduction to Computer Science Using Python 3.6 3rd Table of contents:

1. What’s Programming?

• Programs and Programming
• What’s a Programming Language?
• What’s a Bug?
• The Difference Between Brackets, Braces, and Parentheses
• Installing Python

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2. Hello, Python

• How Does a Computer Run a Python Program?
• Expressions and Values: Arithmetic in Python
• What Is a Type?
• Variables and Computer Memory: Remembering Values
• How Python Tells You Something Went Wrong
• A Single Statement That Spans Multiple Lines
• Describing Code
• Making Code Readable
• The Object of This Chapter
• Exercises

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3. Designing and Using Functions

• Functions That Python Provides
• Memory Addresses: How Python Keeps Track of Values
• Defining Our Own Functions
• Using Local Variables for Temporary Storage
• Tracing Function Calls in the Memory Model
• Designing New Functions: A Recipe
• Writing and Running a Program
• Omitting a return Statement: None
• Dealing with Situations That Your Code Doesn’t Handle
• What Did You Call That?
• Exercises

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4. Working with Text

• Creating Strings of Characters
• Using Special Characters in Strings
• Creating a Multiline String
• Printing Information
• Getting Information from the Keyboard
• Quotes About Strings
• Exercises

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5. Making Choices

• A Boolean Type
• Choosing Which Statements to Execute
• Nested if Statements
• Remembering Results of a Boolean Expression Evaluation
• You Learned About Booleans: True or False?
• Exercises

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6. A Modular Approach to Program Organization

• Importing Modules
• Defining Your Own Modules
• Testing Your Code Semiautomatically
• Tips for Grouping Your Functions
• Organizing Our Thoughts
• Exercises

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7. Using Methods

• Modules, Classes, and Methods
• Calling Methods the Object-Oriented Way
• Exploring String Methods
• What Are Those Underscores?
• A Methodical Review
• Exercises

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8. Storing Collections of Data Using Lists

• Storing and Accessing Data in Lists
• Type Annotations for Lists
• Modifying Lists
• Operations on Lists
• Slicing Lists
• Aliasing: What’s in a Name?
• List Methods
• Working with a List of Lists
• A Summary List
• Exercises

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9. Repeating Code Using Loops

• Processing Items in a List
• Processing Characters in Strings
• Looping Over a Range of Numbers
• Processing Lists Using Indices
• Nesting Loops in Loops
• Looping Until a Condition Is Reached
• Repetition Based on User Input
• Controlling Loops Using break and continue
• Repeating What You’ve Learned
• Exercises

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10. Reading and Writing Files

• What Kinds of Files Are There?
• Opening a File
• Techniques for Reading Files
• Files over the Internet
• Writing Files
• Writing Example Calls Using StringIO
• Writing Algorithms That Use the File-Reading Techniques
• Multiline Records
• Looking Ahead
• Notes to File Away
• Exercises

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11. Storing Data Using Other Collection Types

• Storing Data Using Sets
• Storing Data Using Tuples
• Storing Data Using Dictionaries
• Inverting a Dictionary
• Using the in Operator on Tuples, Sets, and Dictionaries
• Comparing Collections
• Creating New Type Annotations
• A Collection of New Information
• Exercises

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12. Designing Algorithms

• Searching for the Two Smallest Values
• Timing the Functions
• At a Minimum, You Saw This
• Exercises

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13. Searching and Sorting

• Searching a List
• Binary Search
• Sorting
• More Efficient Sorting Algorithms
• Merge Sort: A Faster Sorting Algorithm
• Sorting Out What You Learned
• Exercises

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14. Object-Oriented Programming

• Understanding a Problem Domain
• Function isinstance, Class object, and Class Book
• Writing a Method in Class Book
• Plugging into Python Syntax: More Special Methods
• A Little Bit of OO Theory
• A Case Study: Molecules, Atoms, and PDB Files
• Classifying What You’ve Learned
• Exercises

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15. Testing and Debugging

• Why Do You Need to Test?
• Case Study: Testing above_freezing
• Case Study: Testing running_sum
• Choosing Test Cases
• Hunting Bugs
• Bugs We’ve Put in Your Ear
• Exercises

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16. Creating Graphical User Interfaces

• Using Module tkinter
• Building a Basic GUI
• Models, Views, and Controllers, Oh My!
• Customizing the Visual Style
• Introducing a Few More Widgets
• Object-Oriented GUIs
• Keeping the Concepts from Being a GUI Mess
• Exercises

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17. Databases

• Overview
• Creating and Populating
• Retrieving Data
• Updating and Deleting
• Using NULL for Missing Data
• Using Joins to Combine Tables
• Keys and Constraints
• Advanced Features
• Some Data Based On What You Learned

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