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• Title Page
• Copyright
• ABOUT THE AUTHORS
• ABOUT THE TECHNICAL EDITORS
• CREDITS
• ACKNOWLEDGMENTS
• CONTENTS
• INTRODUCTION
• CHAPTER 1: REVIEWING CORE PYTHON
• Exploring the Python Language and the Interpreter
• Reviewing the Python Data Types
• Numeric Types: Integer and Float
• The Boolean Type
• The None Type
• Collection Types
• Strings
• Bytes and ByteArrays
• Tuples
• Lists
• Dictionaries
• Sets
• Using Python Control Structures
• Structuring Your Program
• Using Sequences, Blocks and Comments
• Selecting an Execution Path
• Iteration
• Handling Exceptions
• Managing Context
• Getting Data In and Out of Python
• Interacting with Users
• Using Text Files
• Extending Python
• Defining and Using Functions
• Generator Functions
• Lambda Functions
• Defining and Using Classes and Objects
• Creating and Using Modules and Packages
• Using and Creating Modules
• Using and Creating Packages
• Creating an Example Package
• Using Third-Party Packages
• Summary
• CHAPTER 2: SCRIPTING WITH PYTHON
• Accessing the Operating System
• Obtaining Information About Users and Their Computer
• Obtaining Information About the Current Process
• Managing Other Programs
• Managing Subprocesses More Effectively
• Obtaining Information About Files (and Devices)
• Navigating and Manipulating the File system
• Plumbing the Directory Tree Depths
• Working with Dates and Times
• Using the time Module
• Introducing the datetime Module
• Introducing the calendar Module
• Handling Common File Formats
• Using Comma-Separated Values
• Working with Config Files
• Working with XML and HTML Files
• Parsing XML Files
• Parsing HTML Files
• Accessing Native APIs with ctypes and pywin32
• Accessing the Operating System Libraries
• Using ctypes with Windows
• Using ctypes on Linux
• Accessing a Windows Application Using COM
• Automating Tasks Involving Multiple Applications
• Using Python First
• Using Operating System Utilities
• Using Data Files
• Using a Third-Party Module
• Interacting with Subprocesses via a CLI
• Using Web Services for Server-Based Applications
• Using a Native Code API
• Using GUI Robotics
• Summary
• CHAPTER 3: MANAGING DATA
• Storing Data Using Python
• Using DBM as a Persistent Dictionary
• Using Pickle to Store and Retrieve Objects
• Accessing Objects with shelve
• Analyzing Data with Python
• Analyzing Data Using Built-In Features of Python
• Analyzing Data with ittertools
• Utility Functions
• Data Processing Functions
• Taming the Vagaries of groupby()
• Using itertools to Analyze LendyDB Data
• Managing Data Using SQL
• Relational Database Concepts
• Structured Query Language
• Creating Tables
• Inserting Data
• Reading Data
• Modifying Data
• Linking Data Across Tables
• Digging Deeper into Data Constraints
• Revisiting SQLite Field Types
• Modeling Relationships with Constraints
• Many-to-Many Relationships
• Migrating LendyDB to an SQL Database
• Accessing SQL from Python
• Using SQL Connections
• Using a Cursor
• Creating the LendyDB SQL Database
• Inserting Test Data
• Creating a LendyDB API
• Exploring Other Data Management Options
• Client-Server Databases
• NoSQL
• The Cloud
• Data Analysis with RPy
• Summary
• CHAPTER 4: BUILDING DESKTOP APPLICATIONS
• Structuring Applications
• Building Command-Line Interfaces
• Building the Data Layer
• Building the Core Logic Layer
• Building the User Interface
• Using the cmd Module to Build a Command-Line Interface
• Reading Command-Line Arguments
• Jazzing Up the Command-Line Interface with Some Dialogs
• Programming GUIs with Tkinter
• Introducing Key GUI Principles
• Event-Based Programming
• GUI Terminology
• The Containment Tree
• Building a Simple GUI
• Building a Tic-Tac-Toe GUI
• Sketching a UI Design
• Building Menus
• Building a Tic-Tac-Toe Board
• Connecting the GUI to the Game
• Extending Tkinter
• Using Tix
• Using ttk
• Revisiting the Lending Library
• Exploring Other GUI Toolkits for Python
• wxPython
• PyQt
• PyGTK
• Native GUIs: Cocoa and PyWin32
• Dabo
• Storing Local Data
• Storing Application-Specific Data
• Storing User-Selected Preferences
• Storing Application State
• Logging Error information
• Understanding Localization
• Using Locales
• Using Unicode in Python
• Using gettext
• Summary
• CHAPTER 5: PYTHON ON THE WEB
• Python on the Web
• Parts of a Web Application
• The Client-Server Relationship
• Middleware and MVC
• HTTP Methods and Headers
• What Is an API?
• Web Programming with Python
• Using the Python HTTP Modules
• Creating an HTTP Server
• Exploring the Flask Framework
• Creating Data Models in Flask
• Creating Core Flask Files
• More on Python and the Web
• Static Site Generators
• Web Frameworks
• Using Python Across the Wire
• XML-RPC
• Socket Servers
• More Networking Fun in Python
• Summary
• CHAPTER 6: PYTHON IN BIGGER PROJECTS
• Testing with the Doctest Module
• Testing with the Unittest Module
• Test-Driven Development in Python
• Debugging Your Python Code
• Handling Exceptions in Python
• Working on Larger Python Projects
• Releasing Python Packages
• Summary
• CHAPTER 7: EXPLORING PYTHON’S FRONTIERS
• Drawing Pictures with Python
• Using Turtle Graphics
• Using GUI Canvas Objects
• Plotting Data
• Using imghdr
• Introducing Pillow
• Trying Out ImageMagick
• Doing Science with Python
• Introducing SciPy
• Doing Bioscience with Python
• Using GIS
• Watching Your Language
• Getting It All
• Playing Games with Python
• Enriching the Experience with PyGame
• Exploring Other Options
• Going to the Movies
• The Computer Graphics Kit
• Modeling and Animation
• Photo Processing
• Working with Audio
• Integrating with Other Languages
• Jython
• IronPython
• Cython
• Tcl/Tk
• Getting Physical
• Introducing Serial Options
• Programming the RaspberryPi
• Talking to the Arduino
• Exploring Other Options
• Building Python
• Fixing Bugs
• Documenting
• Testing
• Adding Features
• Attending Conferences
• Summary
• APPENDIX A: ANSWERS TO EXERCISES
• Chapter 1 Solutions
• Chapter 2 Solutions
• Chapter 3 Solutions
• Chapter 4 Solutions
• Chapter 5 Solutions
• Chapter 6 Solutions
• Chapter 7 Solutions
• APPENDIX B: PYTHON STANDARD MODULES
• APPENDIX C: USEFUL PYTHON RESOURCES
• Asking Questions: Mailing Lists and More
• Reading Blogs
• Studying Tutorials and References
• Watching Videos
• And Now for Something Completely Different…
• REFERENCES
• INDEX
• ADVERT
• EULA