Python projects /
| Κύριος συγγραφέας: | |
|---|---|
| Άλλοι συγγραφείς: | |
| Μορφή: | Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Indianapolis, IN :
Wrox,
[2015]
|
| Σειρά: | Programmer to programmer.
|
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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
