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This book walks readers through the "where" and "how" of real-world Python programming with practical, actionable instruction. With a focus on real-world functionality, it details the ways that Python can be used to complete daily tasks and bring efficiency to businesses and indi...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Cassell, Laura
Otros Autores: Gauld, Alan
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Indianapolis, IN : Wrox, [2015]
Colección:Programmer to programmer.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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.